\r\n\tFurthermore, during the preparation of high-quality dairy products, several physical, chemical, enzymatic, and microbial transformations take place. We will consciously focus on this interaction of different constituents of milk under different processing conditions for the development of the products.
",isbn:"978-1-83768-093-1",printIsbn:"978-1-83768-092-4",pdfIsbn:"978-1-83768-094-8",doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!0,isSalesforceBook:!1,isNomenclature:!1,hash:"420e687768b56ca7b3238d77f63f1302",bookSignature:"Dr. Neelam Upadhyay",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/12173.jpg",keywords:"Protein, Fat, Lactose, Carbohydrates, Milk Processing, Milk Products, Milk Constituents, Acid Coagulated, Enzyme Treated, Heat Treated, Dairy Products, Protocols of Manufacturing",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:null,numberOfDimensionsCitations:null,numberOfTotalCitations:null,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"May 18th 2022",dateEndSecondStepPublish:"June 15th 2022",dateEndThirdStepPublish:"August 14th 2022",dateEndFourthStepPublish:"November 2nd 2022",dateEndFifthStepPublish:"January 1st 2023",dateConfirmationOfParticipation:null,remainingDaysToSecondStep:"21 days",secondStepPassed:!1,areRegistrationsClosed:!1,currentStepOfPublishingProcess:2,editedByType:null,kuFlag:!1,biosketch:"Dr. Upadhyay has received many awards most notable being the Young Woman Scientist Award 2020 from the Agro-Environmental Development Society and the Best Poster Award 2021 from the National Conference on Moringa Food Conclave 2021. She is a dedicated researcher in food and dairy processing and has published many research articles and papers in both national and international journals and publications.",coeditorOneBiosketch:null,coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"269538",title:"Dr.",name:"Neelam",middleName:null,surname:"Upadhyay",slug:"neelam-upadhyay",fullName:"Neelam Upadhyay",profilePictureURL:"https://mts.intechopen.com/storage/users/269538/images/system/269538.jpg",biography:"BRIEF BIODATA\n1.\tName in full: Neelam Upadhyay \n2.\tDate & Place of Birth: 29th December, 1987 at Delhi\n3.\tField of specialization: Food Technology\n4.\tPresent Position/ Designation: Scientist- Senior Scale\n5.\tAddress:\t(a)\tOfficial:\tTel. No.:0184-2259258\n\t\t\t\tE-mail: \ticar.neelam@gmail.com; neelam.upadhyay@icar.gov.in \n\t\t\t\tAddress: \tLaboratory No. 146, Dairy Technology Division, ICAR- \n\t\t\t\t\t\tNational Dairy Research Institute, Karnal \n\t\t\t(b)\tResidential: Tel. No.: +91-9255772587\n\tAddress (Permanent): 41-D, MIG DDA Flats, Shivam Enclave, Delhi-110032\n6.\t(a) Academic career and (b) professional attainments\n(a) Examination\tClass/ Percentage\tYear of Passing\tSubjects Taken\tName of University / Board\nXth \t1st/83\n(415/500)\t2003\tMathematics, Social Science, Science, English, Hindi\tK.V., Mumbai (CBSE)\nXIIth\t1st/78.2 \n(391/500)\t2005\tPhysics, Mathematics, Chemistry, Biology, English\tK.V., Delhi (CBSE)\nB.A.Sc. (Hons.)\t1st/83.43 (2044/2450)\n(3rd position)\t2008\tFood Technology\tSRCASW, University of Delhi, Delhi\nM.Sc.\t1st/8.62\n(1st position)\t2010\tFood Science & Technology\tCCS Har. Agri. Uni., Hisar, Haryana\nTitle of Research:\tDevelopment of flavoured whey-soya milk beverage\nMajor Advisor:\tDr. R. S. Dabur (Professor and Head)\nPh.D.\t1st/8.0\n(1st position)\t2014\tDairy Chemistry\tNational Dairy Research Institute, Karnal, Haryana\nTitle of Research: \tDetection of vegetable oil and animal body fat adulteration in ghee using solvent fractionation technique\nMajor Advisor:\tDr. Darshan Lal (Principal Scientist and Ex-Head)\nDistinctions during Academics\nDegree\tDistinctions\nBachelor of Applied Science (Hons.)\ti.\tY.K. Kapoor Memorial Scholarship 2006 by All India Food Processor’s Association \nii.\t3rd position in university\niii.\tReceived highest attendance award\niv.\tReceived trophy for ‘Most Disciplined Student’ for the graduation period 2005-2008\nv.\tCertificate of Honor from Honb’le Mr. Justice K.G. Balakrishnan, Chief Justice of India\nMaster of Science\ti.\t1st position in discipline and 2nd position in college\nii.\tReceived recognition for academic excellence from Jawaharlal Nehru Memorial Fund; \niii.\tQualified GATE\niv.\t2nd in inter-college yoga competition\nv.\tParticipated in various events of All India Youth Festival organized at UAS, Bangalore.\nDoctor of Philosophy\ti.\tReceived Merit Certificate for Academic Excellence in PhD course work\nii.\tReceived Certificate of Appreciation for outstanding work in the field of Dairy Processing during PhD\niii.\tQualified ICAR’s National Eligibility Test in 2010; Qualified the ICAR’s All India Examination, ICAR-SRF (PGS_-2011-2012 for award of ICAR-SRF (PGS) with 2nd rank (both in first attempt) \niv.\tQualified Agricultural Research Service Examination-2013 conducted by Agricultural Scientist Recruitment Board against the single vacancy (for UR) in the discipline of Food Technology\nv.\tStage Management Secretary of student’s council 2010-11\nvi.\tLiterary secretary of Student’s Council 2011-12\nvii.\tCompleted certificate e-course on “Publishing a Journal Manuscript - the Groundwork” directed by Springer in 2013\nviii.\tHave successfully completed certificate e-course – “Peer Review Academy” directed by Springer in 2013\nix.\tReceived a certificate on accomplishment IRIS 4-2 Information Literacy Plagiarism Quiz (on-line) in 2013 developed by Distance Learning Council of Washington, USA \n (b) Position Held\tInstitution \tPeriod of Appointment\tNature of Appointment\nScientist (Food Technology)\tICAR- National Academy of Agricultural Research Management, Hyderabad\t3 months\n(1st January, 2015 till 31st March, 2015)\tPermanent\n(Received ‘A’ grade for FOCARS)\nScientist \n(Food Technology)\tICAR- National Dairy Research Institute, Karnal\t10th March, 2015 till 31st December, 2018\n(after availing 10 days of transfer period)\tPermanent\nScientist-Senior Scale\n(Food Technology)\tICAR- National Dairy Research Institute, Karnal\t1st January, 2019 till date\tPermanent\n\n7. Special attainments in Research\n(https://scholar.google.co.in/citations?hl=en&user=PRz0Tz4AAAAJ&view_op=list_works&sortby=pubdate)\nPublications\tNumbers\tRemarks \nResearch Articles\t35\n(24 Intl, 9 National, 2 others)\tTotal Impact: 72.302\n\nBook Chapters\t7\t5 APA/CRC Press; 1 InTech Open; \n1 National\nReview Articles\t2\tTotal Impact:8.327\nTechnical Articles\t7\tCompendium of trainings, seminars, etc\nInstitute publication\t1\t\nPopular Article\t12\t6 in English; 5 in hindi\nCitations \t1066\t(as per googlescholar)\nH-index/ i10-index\t15/ 17\t\n.\n.\nJournal\tNumber of publications\tImpact factor\nResearch Articles\t35\t72.302\nInternational\t24 (15 as either corresponding or first author)\t72.302\nNational\t9 (3 as first or corresponding author)\tNAAS score\nOthers\t2\t\nReview article (International)\t2\t8.327\nInternational\t2\t8.327\n.\n \n\n\n\nRESEARCH ARTICLES\nInternational Journals \n1.\tTiwari, S., Upadhyay, N.*, Singh, A. K. (2022). Stability assessment of emulsion of carotenoids extracted from carrot bio-waste in flaxseed oil and its application in food model system. Food Bioscience, 47, 101631. https://doi.org/10.1016/j.fbio.2022.101631.\n2.\tPatil, A. T., Meena, G. S., Upadhyay, N., Khetra, Y., Singh, A. K., & Borad, S. G. (2021). Buffalo milk protein concentrate 60: Effect of skim milk heat treatment on its reconstitutability and functionality. Food Science & Technology – Lebensmittel -Wissenschaft & Tech, 148, 111638. \n3.\tUttamrao, H. J., Meena, G. S., Khetra, Y., Upadhyay, N., Singh, A. K., Arora, S., & Borad, S. G. (2022). Homogenization and sodium hydrogen phosphate induced effect on physical and rheological properties of ultrafilterd concentrated milk. Journal of Food Science and Technology, 59(3), 956-967. \n4.\tTiwari, S., Upadhyay, N.*, Malhotra, R. (2021). Three way ANOVA for emulsion of carotenoids extracted in flaxseed oil from carrot bio-waste. Waste Management, 121, 67-76. \n5.\tRanvir, S., Sharma, R., Gandhi, K., Upadhyay, N., Mann, B. (2020). Assessment of proteolysis in ultra-high temperature milk using attenuated total reflectance–Fourier transform infrared spectroscopy. International Journal of Dairy Technology. 73(2): 366-375. doi: 10.1111/1471-0307.12683. \n6.\tPonbhagavathi, T.R., Singh, A.K., Raju, P.N., Upadhyay, N. (2020). High performance liquid chromatographic (HPLC) determination of available lysine in milk protein-maize composite extrudates and its stability during storage. Journal of the Indian Chemical Society, 97(11a), 2344-2350\n7.\tTiwari, S., Upadhyay, N.*, Singh, A. K., Meena, G. S., & Arora, S. (2019). Organic solvent-free extraction of carotenoids from carrot bio-waste and its physico-chemical properties. Journal of Food Science and Technology, 1-10. 10.1007/s13197-019-03920-5\n8.\tBaria, B., Upadhyay, N.*, Singh, A. K., & Malhotra, R. K. (2019). Optimization of ‘green’extraction of carotenoids from mango pulp using split plot design and its characterization. Food Science & Technology – Lebensmittel -Wissenschaft & Tech, 104, 186-194. \n9.\tPatil, A. T., Meena, G. S., Upadhyay, N., Khetra, Y., Borad, S. G., & Singh, A. K. (2019). Effect of change in pH, heat treatment and diafiltration on properties of medium protein buffalo milk protein concentrate. Journal of Food Science and Technology, 56(3), 1462-1472. \n10.\tUttamrao, H. J., Meena, G. S., Borad, S. G., Punjaram, S. A., Khetra, Y., Upadhyay, N., & Singh, A. K. (2019). Effect of disodium phosphate and homogenization on physico-chemical and rheological properties of buffalo skim milk based ultrafiltered retentate. Journal of food science and technology, 56(5), 2426-2435. \n11.\tMeena, G.S., Dewan, A., Upadhyay, N., Barapatre, R., Kumar, N., Singh, A.K., & Rana, J.S. (2019). Fuzzy Analysis of Sensory Attributes of Gluten Free Pasta Prepared From Brown Rice, Amaranth, Flaxseed Flours and Whey Protein Concentrates. Journal of Food Science and Nutrition Research, 2(1), 022-037. DOI: 10.26502/jfsnr.2642-1100006\n12.\tPatil, A. T., Meena, G. S., Upadhyay, N.*, Khetra, Y., Borad, S., & Singh, A. K. (2018). Production and characterization of milk protein concentrates 60 (MPC60) from buffalo milk. Food Science & Technology – Lebensmittel -Wissenschaft & Tech, 91, 368-374. https://doi.org/10.1016/j.lwt.2018.01.028 \n13.\tUpadhyay, N.*, Jaiswal, P., & Jha, S. N. (2018). Application of attenuated total reflectance Fourier Transform Infrared spectroscopy (ATR–FTIR) in MIR range coupled with chemometrics for detection of pig body fat in pure ghee (heat clarified milk fat). Journal of Molecular Structure, 1153, 275-281. \n14.\tUpadhyay, N.*, Kumar A., Goyal A. and Lal, D. (2017). Complete liquification time test coupled with solvent fractionation technique to detect adulteration of foreign fats in ghee (heat-clarified milk fat). International Journal of Dairy Technology. 70(1): 110-118. doi: 10.1111/1471-0307.12323. \n15.\tUpadhyay, N.*, Goyal A., Kumar A. and Lal, D. (2017). Detection of adulteration of caprine body fat and mixture of caprine body fat and groundnut oil in bovine and buffalo ghee using Differential Scanning Calorimetry. International Journal of Dairy Technology. 70(2): 297-303. May 2017.doi:10.1111/1471-0307.12336. \n16.\tKumar, A., Upadhyay, N.*, Ghai, D.L., Kumar, A. Gandhi, K. and Sharma, V. (2016). Effect of preparation and storage of khoa on physico-chemical properties of milk fat. International Journal of Dairy Technology. 69(2): 294-300. doi: 10.1111/1471-0307.12266. \n17.\tUpadhyay, N.*, Jaiswal, P. & Jha, S.N. (2016). Detection of goat body fat adulteration in pure ghee using ATR-FTIR spectroscopy coupled with chemometric strategy. Journal of Food Science and Technology. 53 (10): 3752-3760. doi:10.1007/s13197-016-2353-2 ISSN 0022-1155\n18.\tRathi, M., Upadhyay, N.*, Dabur, R.S. and Goyal A. (2015). Formulation and physic-chemical analysis of whey –soymilk dahi. Journal of Food Science and Technology. 52(2): 968-975. doi 10.1007/s13197-013-1074-z. ISSN: 0022-1155. \n19.\tKanthale, P., Kumar, A. Upadhyay, N.*, Lal, D., Rathod G. and Sharma, V. (2015). Qualitative test for the detection of extraneous Thiocyanate in Milk. Journal of Food Science and Technology. 52(3): 1698-1704. DOI: 10.1007/s13197-013-1174-9. ISSN: 0022-1155.\n20.\tGoyal, A., Sharma, V., Upadhyay, N., Singh, A.K., Arora, S. and Ghai, D.L. (2015). Development of stable flaxseed oil emulsions as a potential delivery system of ω-3 fatty acids. Journal of Food Science and Technology. 52(7):4256-4265. \n21.\tUpadhyay, N.*, Kumar, A., Rathod, G., Goyal, A. and Lal, D. (2015). Development of a method employing reversed-phase thin-layer chromatography for establishing milk fat purity with respect to adulteration with vegetable oils. International Journal of Dairy Technology. 68(2): 207-217. doi. 10.1111/1471-0307.12178. \n22.\tGoyal, A., Siddiqui, S. Upadhyay, N., Soni, J. (2014). Effects of ultraviolet irradiation, pulsed electric field, hot water and ethanol vapours treatment on functional properties of mung bean sprouts. Journal of Food Science and Technology. 51(4): 708-714. doi 10.1007/s13197-011-0538-2. Publisher Springer. ISSN (electronic version): 0975-8402. \n23.\tKundu, H., Grewal, R.B., Goyal, A., Upadhyay, N.*, and Prakash S. (2014). Effect of incorporation of pumpkin (Cucurbita moshchata) powder and guar gum on the rheological properties of wheat flour. Journal of Food Science and Technology. 51(10):2600-2607. DOI: 10.1007/s13197-012-0777-x. ISSN: 0022-1155. \n24.\tUpadhyay, N.*, Kumar, A., Goyal, A. and Lal, D. (2014). A planar chromatographic method to detect adulteration of vegetable oils in ghee. JPC-Journal of Planar Chromatography-Modern TLC. 27 (6): 431-437. DOI: 10.1556/JPC.27.2014.6.5 \nNational Journals\n1.\tPonbhagavathi, T. R., Singh, A. K., Raju, P. N., Upadhyay, N. (2021). Textural and Sensory Characteristics of Milk Protein-Maize Flour-based Extrudates. Journal of Agricultural Engineering, 58(2), 124-136. 10.52151/jae2021581.1740\n2.\tPonbhagavathi, T.R., Singh, A.K., Raju, P.N., Upadhyay, N. (2020). Effect of Rennet Casein and Whey Protein Concentrate on Extrusion Behavior of Maize Flour. Current Journal of Applied Science and Technology. 39(33), 16-27, Article no.CJAST.57830.\n3.\tUpadhyay, N.*, Kumar, A., Lal, D., Kant, R., & Goyal, A. (2018). Detection of groundnut oil and goat body fat adulteration in ghee using principal component analysis on fatty acid profile. Indian Journal of Dairy Science. 71(5):464-472. \n4.\tUpadhyay, N.*, Kumar, A., Gandhi, K., Goyal, A. and Lal, D. (2014). Standardization of solvent fractionation technique for detection of adulteration in ghee by enriching animal body fat and vegetable oil in different fractions. Indian Journal of Dairy Science. 67 (4):323-327.\n5.\tGandhi. K., Upadhyay, N., Aghav, A.D., Sharma, V., and Lal, D. (2014). Detection of adulteration of ghee (clarified milk fat) with palmolein and sheep body fat using Reichert-Meissl (RM) value coupled with solvent fractionation technique. Indian Journal of Dairy Science. 67(5): 387-393. Received Second Best Paper Award during 44th Dairy Industry Conference organized by ICAR-NDRI, Karnal and Indian Dairy Association from 18-20, February 2016.\n6.\tAghav, A.D., Gandhi, K., Upadhyay, N., Kumar, A. and Lal, D. (2014). A study on the physico-chemical changes occurring in the milk fat during preparation of Paneer. Indian Journal of Dairy Science. 67 (5): 398-404.\n7.\tKumar, A., Upadhyay, N., Gandhi, K., Lal, D. and Sharma, V. (2013). Detection of soybean oil and buffalo depot fat in ghee using Normal-Phase Thin Layer Chromatography. Indian Journal of Dairy Science. 66(4): 294-99. ISSN: 0019-5146.\n8.\tKumar, A., Upadhyay, N., Gandhi, K., Kumar, A., Lal, D. and Sharma, V. (2013). Reverse-Phase Thin Layer Chromatography of Unsaponifiable Matter of ghee for detecting adulteration with soybean oil and buffalo depot fat. Indian Journal of Dairy Science. 66(6): 496-501. ISSN: 0019-5146.\n9.\tUpadhyay, N.*, Dabur R.S. and Rathi, M. (2011). Development and Shelf life Study of Flavoured Whey-soya milk beverage. Indian Journal of Dairy Science. 64(2): 92-101. ISSN: 0019-5146.\nOther Journals\n1.\tDewan, A., Meena, G.S., Upadhyay, N., Barapatre, R. Singh, A.K., Rana, J.S. (2017). Formulation of non-Gluten Pasta from the Optimized levels of Dairy and Non-Dairy ingredients. Madridge Journal of Food Technology. 2(2): 92–98. \n2.\tGalmessa, U., Prasad, S., Kumaresan, A., Oberoi, P. S., Baithalu, R. K., Upadhyay, N., and Dang, A. K. (2015). Modulation of Milk Fatty acid profile milk yield and composition through supplementation of omega-3 fatty acid in transition cow’s diet. Journal of Science and Sustainable Development. 3(1): 25-38. ISSN: 2070-1748\nREVIEW ARTICLES\n1.\tUpadhyay, N.*, Goyal, A. Kumar, A., Lal, D. and Singh, D. (2014). Preservation of milk and milk products for analytical purposes: A review. Food Reviews International. 30(3):203-224. DOI 10.1080/87559129.2014.913292. ISSN: 1525-6103\n2.\tGoyal, A., Sharma, V., Upadhyay, N., Gill, S. and Sihag, M. (2014). Flax and flaxseed oil: an ancient medicine & modern functional food. Journal of Food Science and Technology. 51(9): 1633-1653. DOI 10.1007/s13197-013-1247-9. ISSN: 0975-8402. \nBOOK CHAPTERS\n1.\tKumari, L., Sharma, M., & Upadhyay, N. (2021). Three-Dimensional Printing of Food Products: Printing Techniques, Novel Applications, and Printable Food Materials. Handbook of Research on Food Processing and Preservation Technologies: Volume 3: Computer-Aided Food Processing and Quality Evaluation Techniques, 55. Boca Raton, CRC Press\n2.\tUpadhyay, N.*, Harshitha, C. G., Pathak, N. K., & Sharma, R. (2021). Fourier Transform Infrared (FTIR) Spectroscopy with Chemometrics: Evaluation of Food Quality and Safety. Handbook of Research on Food Processing and Preservation Technologies: Volume 5: Emerging Techniques for Food Processing, Quality, and Safety Assurance, 271.\n3.\tNagarajappa, V., Upadhyay, N., Chawla, R., Mishra, S.K., & Nath, S. (2019). Functional Properties of Milk Proteins. In: Engineering Practices for milk products- Dairyceuticals, Novel Technologies, and Quality (pp 3-26). Apple Academic Press.\n4.\tUpadhyay, N., Kumar, M. C. T., Sharma, H., Borad, S., & Singh, A. K. (2019). Pulse Electric Field Processing of Milk and Milk Products. In: Non-thermal Processing of Foods (pp.129-144). Boca Raton, CRC Press\n5.\tUpadhyay, N., Nagaraj, V., & Singh, A. K. (2019). Advances in Fractionation of Milk Lipids: Analysis and Applications of fractions In: Recent Technologies in Dairy Science (pp. 325-344). Today and Tomorrow’s Printers and Publishers.\n6.\tNagaraj, V., Upadhyay, N.*, Nath, B. S., & Singh, A. K. (2018). Advances in Fractionation and Analysis of Milk Carbohydrates. In Technological Approaches for Novel Applications in Dairy Processing (pp. 127-147). IntechOpen. http://dx.doi.org/10.5772/intechopen.76312\n7.\tUpadhyay, N.*, Veena, N., Borad, S., & Singh, A. K. (2017). Application of Natural Antioxidants in Dairy Foods. In Natural Antioxidants (pp. 281-318). London: Apple Academic Press.\nINSTITUTE PUBLICATION\n1.\tDr. T. K. Datta, Dr. Meena Malik and Dr. Neelam Upadhyay (2017). Foundation Programme for Freshers at ICAR-NDRI 2017.\nPOPULAR AND LEAD ARTICLES\n1.\tPatil, A. T., Meena, G. S., Upadhyay, N., & Singh, A.K. (2017). Milk protein concentrates- Their Applications. Indian Dairyman, 69(9), 44-48.\n2.\tUpadhyay, N.* and R.K. Malik (2015). Nutritive Value of Milk. In: In Touch, Heinz Nutrition Foundation of India. Volume 17, Number 2&3, 2-11. (Lead Article). \n3.\tGoyal, A., Sharma, V., Upadhyay, N., Sihag, M. and Kaushik, R. (2013). High Pressure Processing and its impact on milk proteins: A Review. Research and Reviews: Journal of Dairy Science and Technology. 2 (1): 1-9. ISSN: 2319-3409.\n4.\tKumar, A., Upadhyay, N., and Naagar, S. (2012). Allergenicity of Milk Proteins, and its Management. Indian Food Industry. 31 (5&6): 45-50. ISSN: 0972-2610.\n5.\tGoyal, A. and Upadhyay, N. (2012). Nuclear Magnetic Resonance Spectroscopy in Dairy Science. Indian Food Industry. 31(1): 39-45. ISSN: 0972-2610.\n6.\tUpadhyay, N.*, Goyal, A. and Rathod, G. (2011). Microwave Spectroscopy and its applications in online processing. Indian Food Industry. 30(5&6): 63-73. ISSN: 0972-2610.\n7.\tउपाध्याय, नी*. (२०१८) भारत में कुपोषण: स्थिति और इससे निपटने के लिए रणनीतियाँ. दुग्ध—गंगा (आठवाँ अंक). अप्रैल-सितम्बर. २४-२९. \n8.\tउपाध्याय, नी.*, सिंह, आ.कु., गांगुली, स., सबिखी, ल. (२०१८) खाध्य और डेयरी क्षेत्र मे महिला उद्यमिता: कारण, समस्याए एवम उपलब्ध मंच. दुग्ध—गंगा (आठवाँ अंक). अप्रैल-सितम्बर. ६४-६९.\n9.\tउपाध्याय, नी*. (२०१९) ek¡ dk nw/k % f'k'kqvksa ds ekufld] 'kkjhfjd ,oa lkekftd mRFkku gsrq ve`r. दुग्ध—गंगा (नवाँ अंक). अकटूबर –मार्च १०२-१०४.\n10.\tउपाध्याय, नी*, fç;k ;koys (२०१९) [kk| inkFkksaZ esa —f=e ds cnys çk—frd jax o.kZd ds mi;ksx dh vko';drk दुग्ध—गंगा (दसवाँ अंक). अकटूबर –मार्च १०२-१०५.\n11.\tuhye mikè;k;, fuys'k dqekj ikBd (२०१९) d`f\"k] [kk| ,oa Ms;jh m|ksx ds Hkfo\"; eas lkSj ÅtkZ dk egRo दुग्ध—गंगा (दसवाँ अंक). अकटूबर –मार्च १२६-१३०. \n12.\tवैज्ञानिक और तकनीकी विषय के मूल हिंदी लेख जोकि गेहूँ एवम् जौ स्वर्णिमा में प्रकाशित हुए: उपाध्याय, नी*, राकेश कुमार (2020) महिला उद्यमिता के माध्यम से महिला सशक्तिकरण. गेहूँ एवम् जौ स्वर्णिमा (बारहवााँ अंक), पृष्ठ सं. 55-58; भाकृअनुप- भारतीय गेहूँ एवम् जौ अनुसंधान संस्थान, करनाल- १३२००१ द्वारा प्रकाशित\n\n8. Concepts/Processes/Products/Technologies/Patents/Others\n(i)\tConcepts \nCurrently, I am working on the integrated approach of application of green technology for the development of functional foods by utilizing under-utilized/ indigenous fruits and vegetables and/ or bio-waste. In the research projects, I am also keenly working on food chemistry and instrumental food analysis and applications of technologies/ products in dairy and non-dairy products. \nBesides this, I am working on development of functional food for addressing menopausal symptoms in osteopenic mice model. \n(ii)\tProducts/ Technologies ready for commercialization- 5\n1. Production of Milk Protein Concentrate 60 (MPC60), a high protein low lactose powder from buffalo milk (Co-Inventor)\n2. Technology for omega-3 rich mixed fat table spread (Inventor)\n3. Lipid and water soluble yellow natural colouring ingredient from bio-waste (Inventor)\n4. Technology for preparation of encapsulated flaxseed oil for its applications in foods (Inventor)\n5. Production of buffalo milk based Milk Protein Concentrate 60 (MPC60) powder with improved solubility (Co-Inventor)\n(iii) Expertise on\n1.Gas Liquid Chromatography\t5.Thin Layer Chromatography\n2.Fourier Transform Infra-red Spectroscopy\t6. Spectrophotometry\n3.Differential Scanning Calorimetry\t7.Chemical analysis including titration, distillation, etc.\n4.High Pressure Liquid Chromatography\t\n\n\n9. List of completed, on-going and submitted projects\nTitle of Project\tDuration\tRole\tFunding\tStatus\tRemarks\nEffect of storage on Baudouin test, sesamin test and RP-TLC test to detect adulteration of vanaspati and vegetable oils in ghee\t2015-2017\tCo-PI\tICAR-NDRI\n\tCompleted\tTwo research articles on RP-TLC\nPreparation and Characterization of Micro/nano delivery systems for “green” carotenoids\t2016-2019\tPI\t-Do-\t\t3 research articles+ 3 products/ technologies\nTechnology Development for the Production of Milk Protein Concentrate (MPC60) From Buffalo Milk\t2016-2019\tCo-PI\t-Do-\t\t4 research articles+ 2 products/ technologies\nTechnology of Goat Milk based Functional Beverage\t2017-2020\tCo-PI\t-Do-\t\tOne oral presentation\nTechnology for Moringa oleifera enriched cheese spread\t2020-2023\tPI\t-Do-\tOn-going\tCharacterization and incorporation of M. oleifera- pods in cheese spread is complete; shelf life study and animal trial is in progress\nDevelopment of flaxseed-rich probiotic dairy foods to address menopause symptoms\t2020-2023\tCo-PI\tDST\t\tDeveloped method -estimation of phytoestrogen; validation -in progress\nNutritional and therapeutic validation of chhachh and ghee prepared from indigenous cows by traditional method\tThree years (proposed)\tPI\tSEED Division, DST\tSubmitted \n \t\nCharacterization of Moringa oleifera leaves for functional bioactives and its application in table spread as model food system\tThree years (proposed)\tPI\tSYST, DST\t\t\nOther research work: \nDetection of adulteration of goat body fat and pig body fat in ghee using ATR-FTIR coupled with chemometrics; carried out during Professional Attachment Training at ICAR-CIPHET, Ludhiana\n\n\n\n10. Awards & honours \nName of Award\tYear\tAwarding Agency\nBest Paper Award\t2022\tGSAT (Gender Advancement for Transforming Institutions Self-Assessment Team), NDRI\nBest Poster Award\t2021\tNational Conference on Moringa Food Conclave-2021\nYoung Woman Scientist Award\t2020\tAgro Environmental Development Society during International Web-conference \nSecond Best Poster Award\t2020\tIndian Dairy Association\nCommendation certificate for Institute’s Magazine in which I am co-Editor\t2020\tTown Official Language Implementation Committee, Karnal\nLetter of Appreciation to editorial board of Institute’s magazine for receiving ICAR’s Second Prize and Trophy under Ganesh Shankar Vidyarthi Hindi Patrika Puraskar (2018-19)\t2020\tICAR- National Dairy Research Institute, Karnal\nAssociate Fellowship\t2019\tNational Academy of Dairy Science India\nFirst Prize in E-poster \t2018\tIndian Dairy Association\nOne Best oral Presentation\t2018\tHome Science Association of India\nBest Oral Presentation to my Master’s student\t2018\tICMR- National Institute of Nutrition\nBest Poster Award\t2016\tIndian Dairy Association\nSecond Best Paper Award\t2016\tIndian Dairy Association\nICAR-SRF (PGS) with 2nd rank\t2011-12\tICAR\nGATE (Engg Sciences: Food Tech; Thermodynamics)\t2010\tMHRD, GoI\nInstitution level awards\nThird prize in poster presentation \t2021\tICAR- National Dairy Research Institute, Karnal\nInstitute’s Rajbhasha Gaurav Certificate\t2020\t\nFirst prize in Scientific and Technical writing\t2019\t\nConsolation prize in Scientific and Technical writing \t2020, 2019 \t\nFirst prize in Poster Presentation- 2020, 2018, 2017\t\t\nThird prize in poster presentation\t2019\t\nFirst Prize in hindi extempore\t2017\t\nThird, first and second prize in hindi essay writing in consecutive years – 2020, 2019, 2018\t\t\n\n\n11. Teaching Assignments \n(a) Teaching: Actively involved either as course in-charge or associate \nClass\tB.Tech (DT)\tMSc/ MTech\n(FT) (till 2021)\tM.Tech (DT)\tPhD (DT/ DC/ FSQA)\nNo. of courses\t1-2\t2-3\t0-1\t2-3\nDT- Dairy Technology, DC- Dairy Chemistry, FT- Food Technology, FSQA- Food Safety Quality Assurance\n(b) Student’s guided\nDegree\tMajor Advisor \tCo-Advisory\tStatus/ Remarks\nM. Tech (DT)\t8\t2\tCompleted\n\t1\t0\tOn going\nM. Tech/ M Sc (FT/ FSN)\t2\t1\tCompleted\nM. Tech (DC)\t0\t3\tCompleted\nM. Tech (DM)\t0\t1\tCompleted\nPhD (DT)\t2 \t0\tOngoing \n\t0\t2\tCompleted\nPhD (DC)\t0\t1 \tCompleted\n\t\t1\tOn going\ni.\tThree students under my guidance as major advisor and one student as co-advisory member nominated for Best thesis award; \nii.\tOne represented NDRI at zonal-level student research convention ANVESHAN-2018\n\n12. Lectures/ member/convener of committees: \ni.\tLectures: \na.\tEntrepreneurship Development Programme (EDP) (conducted by SINED-TBI/BPD unit, ICAR-NDRI) and Online Training of Master Trainers on Fat and Oilseed processing conducted by SINED-TBI/BPD unit (ICAR-CIPHET); \nb.\tStudent’s Counselling session at SRCASW, University of Delhi, \nc.\tWorkshop conducted at DAV college, Karnal, etc\nd.\tDelivered talks at various villages on the importance of mother’s milk, nutrition in first 1000 days of an infant’s life, nutri-thali, etc\nii.\tTraining Organized: \na.\tTwenty one days Training at Centre for Advanced Faculty Training (DT Division) on ‘R & D strategies and interventions for effective agribusiness and entrepreneurship development in dairy and food sector’; \nb.\tone/two months or shorter duration trainings for students and others under BPD unit and KVK, NDRI, Karnal\nc.\tFive days training on the aspects of dairy processing to the farmers of Karnal district. \niii.\tGeneral Secretary, Staff Club, NDRI, Karnal\niv.\tMember: Student Empowerment Unit, Conferences organized from 2015 till 2018, convocation, credit seminar evaluation committees; Mera Gaon Mera Gaurav program, Farmer’s First Door programme, Swatchh Bharat Abhiyan, coordinator and mentor of different groups for organizing Foundation Program-2017, 2018, Nodal officer of Poshan Maah-2020 etc\nv.\tConvener/ Rapporteur of sessions: Conference, Dr. K. K. Iya Memorial oration; International conference of Proteomics Society of India\nvi.\tOther responsibilities: Management Representative of QMS-IS/ISO 9001:2008 and HACCP- IS 15000:2013 of Experimental Dairy (essential part of institute) until Jan 2019; one of the editors of Institute hindi magazine Dudgh Ganga which also received coveted award from ICAR (until 2019).\nvii.\tResource Generation on account of consultancy provided in field of dairy processing and by conducting sponsored trainings \nMore than ₹ 2 50 000/- (Two lakhs fifty thousand only)\nviii.\tBesides research, teaching and extension activities, I am also involved in promotion of Hindi language and have won several prizes during competitions (like extempore, essay, e-mail writing) organized by Official Language Units.\nix.\tLifetime Member of three scientific bodies: Indian Dairy Association- RE/NZ/LM/10852/HR; Association of Food Scientists & Technologists (INDIA)- AFST/LM/9-2018/KRN/2444; Lifetime member of Home Science Association of India; Membership number: HSAI-2017-HR-127-LF\nx.\tReviewed research papers of Journal of Ayurveda and Integrative Medicine (Elsevier), LWT, International Journal of Food Properties, Indian Journal of Dairy Science, Indian Journal of Natural Products and Resources, United Scientific Group, etc. \n\n\n\n\n\n\n\n\nDated: 12-04-2022\t \nNeelam Upadhyay",institutionString:"National Dairy Research Institute",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"0",totalChapterViews:"0",totalEditedBooks:"0",institution:{name:"National Dairy Research Institute",institutionURL:null,country:{name:"India"}}}],coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"5",title:"Agricultural and Biological Sciences",slug:"agricultural-and-biological-sciences"}],chapters:null,productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},personalPublishingAssistant:{id:"444312",firstName:"Sara",lastName:"Tikel",middleName:null,title:"Ms.",imageUrl:"https://mts.intechopen.com/storage/users/444312/images/20015_n.jpg",email:"sara.t@intechopen.com",biography:"As an Author Service Manager, my responsibilities include monitoring and facilitating all publishing activities for authors and editors. 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1. Introduction
Surgery is a major medical specialty that uses manual techniques to treat a pathological condition in patients. The classic surgical department of a hospital requires operating theaters with a professional surgical team to perform operations. A surgical team is made up of a surgeon, a surgeon’s assistant, an anesthetist, a nurse anesthetist, a circulating nurse, and a surgical technologist. The surgical ward is occupied by those patients who have already undergone surgery, as well as those who are about to or might undergo surgery. These patients are cared for by the surgical ward team. A surgical ward team is composed of at least one surgeon and one surgical ward nurse. Furthermore, the classic surgical department often provides physicians for the treatment of emergency patients in the emergency room or supports emergency physicians with consultations in surgical emergency cases. Teams are obviously essential in all areas of the surgical department, since a single surgeon without additional personal support cannot work effectively.
2. Collaborative effort of a team to achieve a common goal
The collective effort of a group of people, a team, to achieve a common goal is called teamwork [1, 2]. Teamwork is used in any aspect of life where a group of people are working together for a common goal [1, 2]. Teamwork is commonly applied in sports, in industrial organizations, in school, in political parties and healthcare system. A team consists at least of two members. The team size is fixed, or it can vary depending upon the phase and complexity of the common goal. Still, every member must have a defined role within the team in order to be productive and to have a clear purpose within the team [3, 4]. The level of teamwork varies from low to high depending on the aspect of life it is applied. For example, soccer requires a high level of teamwork, whereas tennis requires significantly less teamwork. Good teamwork is linked to improved patient outcomes, better medical staff satisfaction and a reduced incidence of burnouts [5, 6, 7]. On the other hand, worse teamwork is linked to poorer patient outcomes due to adverse events, lack of coordination and higher costs [8, 9, 10]. Improvement of teamwork ability in operating theaters leads to reduced technical errors [11] and lower perioperative mortality [12]. However, most medical workers lack adequate training in teamwork in healthcare [13]. Some authors call for an emphasis on teamwork training in medical education [14]. In contrast to teamwork in acute cases, teamwork in nonacute patient cases is rarely trained. As chronic diseases place an increasing burden on health systems [15, 16, 17], the lack of team training needs to be adapted for long-term treatments [18].
Over the past decade, the efforts to perform better surgical performance increased [19]. Expectations for more transparency from operation results [20], better patient satisfaction and error reduction are rising [19]. In the context of our ongoing strive and expectations to improve health care, the facts paint a troubling picture. Operating theaters are a challenging area in the surgical department where human error can cause a great iatrogenic harm in a hospital [21, 22]. These unintentional adverse events have been reported to be up to 11% in British hospitals [23]. In 1999 the US Institute of Medicine estimated that 44,000 to 98,000 deaths occur in US hospitals annually, at least partially due to avoidable adverse events [24]. Up to two thirds of these events are due to surgical care [25, 26]. Communication errors have been identified as one of the main causes of these adverse events [24, 27]. Furthermore, e.g. it was reported that medication errors in emergency medicine of up to 31.1% were caused by surgeons and internists [28]. Communication problems in the emergency teams are discussed as a possible cause of incorrect drug administration. There have already been successes. E.g. promoting safety checklists has enhanced patient outcomes and reduced errors by improving teamwork [29]. In surgery in particular, the World Health Organization (WHO) has drawn up a safety checklist to enhance teamwork [30]. The improvement of teamwork, that is, nontechnical skills, might be one possible approach to achieving these goals.
The following pages are intended to give the reader an overview of teamwork in the surgical department. This chapter will clearly define the functions of the team members as well as different team constellations. It will describe the main characteristics of the team members. It will explain the team processes and the team development model. It will propose measurement tools for evaluating teamwork. It will discuss the benefits and drawbacks of teamwork and the necessity of strict leadership in the surgical department. It will propose approaches for a better patient outcome by improving teamwork.
3. Teams in the surgical department
Teamwork is essential in surgery. A surgeon alone cannot adequately fulfill his daily tasks, neither in the operating theater nor on the surgical ward. Classic surgical departments consist of several different types of surgical teams with different tasks in everyday hospital life. The common task of those teams is the adequate care for their patients. In general, we can distinguish between three important teams. There is the surgical team in the operating theater, the surgical ward team and the emergency surgical team.
3.1 The surgical team in operating theater
The operating team in the operating room consists of a surgeon, an anesthetist, a surgeon’s assistant, a nurse anesthetist, a circulating nurse, and a surgical technologist. There is a clearly structured hierarchy in the team in the order of the members just mentioned. The tasks of each member are clearly defined. The level of leadership is particularly pronounced in the surgical team in operating theater [31]. The work of the surgical team has a direct impact on patient outcome. The privilege and burden of decision-making is primarily focused on the surgeon. The overall environment in the operating theater, the performance and the collaboration between the individual team members largely depend on the behavior, knowledge and interpersonal skills of the surgeon. The level of stress in the operating room is much higher compared to teams in other areas of life. It is therefore of the utmost importance that every member, apart from the self-evident technical competence and preparation, has a high level of teamwork and reliability. The surgical team in the operating theater is a very well-coordinated and professional team. Beginners are subjected to a comprehensive and strictly controlled training until they reach the stage of being able to master their part of the task with confidence. Frequent changes to the members of the core team must be avoided. They negatively affect surgical performance [32]. Frequent changes of core team members must be avoided. They have a negative influence on surgical performance [32].
3.1.1 Surgeon
The surgeon is a physician with completed residency in surgery, who possesses all certifications required for practicing general or specialized surgery. He often is specialized in a particular area of surgery such as abdominal surgery, trauma surgery, pediatric surgery, vascular surgery, thoracic surgery, plastic surgery and cardiac surgery. The task of the surgeon is primarily to lead the operation and the surgical team. Furthermore, the surgeon needs to have full knowledge of the operational procedure and the instruments required. Especially the surgeon bears the responsibility for the successful outcome of the operation. Therefore, his leadership role in such an important team brings him advantages and a great burden at the same time.
3.1.2 Anesthetist
The anesthetist is a physician with completed residency in anesthesiology, who possesses all certifications required for performing narcosis and local anesthesia. The professional interest and responsibility of the anesthetist extends to the patient’s overall health before, during and after surgery. In addition to ensuring a painless operation, the most important task of the anesthetist is to monitor and maintain the vital functions of the patient during the operation. Constant collegial communication and feedback in both directions is absolutely necessary between anesthetist and surgeon. Criticism of communication difficulties comes from both sides.
3.1.3 Surgical assistant
The role of the surgical assistant is held by different members of the team. On the one hand, resident physicians assist in operations as part of their surgical training, on the other hand, this role can be assumed by registered nurse first assistants. The surgical assistant receives clear and unambiguous instructions from the surgeon. The participation of the surgical assistant must not be limited to a mere passive presence at the operating table. It is an active responsible assignment with constant communication with the surgeon leading the operation.
3.1.4 Nurse anesthetist
The nurse anesthetist is an advanced practice registered nurse. She supports the anesthetist before, during and after surgery. The nurse anesthetist receives clear and unambiguous instructions from the anesthetist. Constant communication and feedback with the anesthetist is absolutely necessary.
3.1.5 Surgical technologist
Surgical technologists are trained in numerous types of operations. They are able to assume the next steps in the operational procedure in order to provide the surgeon with the necessary instruments without delay. This helps the surgeon to focus adequately on surgery. The surgical technologists are registered nurses or other medical staff with an appropriate education. They receive clear and unambiguous instructions from the surgeon. Constant communication and feedback with the surgeon is absolutely necessary.
3.1.6 Circulating nurse
Circulating nurses take care of the procurement of instruments and surgical accessories. The circulating nurse receives from the surgical technologist or from the surgeon directly. Constant communication and feedback with the surgical technologist is absolutely necessary.
3.2 The surgical ward team
The surgical ward team consists of at least one surgeon and one nurse. The team is led by a surgical consultant or a surgical registrar [33]. The surgical registrar must have the guaranteed possibility to consult the chief surgeon for pending questions. This team conducts the daily ward round of the patients in the surgical ward and takes care of the resulting ward work. The surgical ward round is a complex process [33]. Sometimes it lasts several hours until all parameters in every patient case are assessed completely [33]. It is advantageous if the individual members of the surgical ward team do not change too often, e.g. for at least a week, as this will interrupt the continuity of the individual patient cases. Wound care, dressing changes and wraps must always be made by both the surgeon and the nurse. Otherwise mandatory hygienic rules and sterility cannot be adhered to. Once again, constant collegial communication and feedback in both directions between surgeon and nurse is absolutely necessary for the team.
3.3 The emergency surgical team
During normal course of action in the emergency room, the emergency surgical team consists of a physician, who is a surgeon or an emergency physician with a background surgical consultant, and a registered emergency nurse. When treating polytraumatized patients, the general or trauma surgeon is the trauma leader. The shock room supply follows ATLS guidelines [34]. Since the polytraumatized patient is in life-threatening condition, the surgeon’s leadership role becomes even more important than in surgical team constellations in other areas. Having the decision-making power, the surgeon bears the greatest responsibility for the patient’s outcome. The surgeon depends on a competent and reliable team to achieve the common goal. However, teamwork is a key component to the success of the emergency surgery team.
4. Characteristics of team members
The characteristics of the team members describe necessary abilities, which are a prerequisite for the proper functioning of the team. A sufficient level of professional and technical competence and preparation is a matter of course. However, nontechnical skills are just as important for teamwork.
Open communication and effective coordination skills are required to avoid conflicts, confusion and overstepping boundaries or to resolve existing conflicts healthy [35]. Collaboration willingness is required to complete tasks on time and to share the workload fairly. Furthermore, a high level of interdependency is required to maintain trust, reliability and risk taking. Mutual performance monitoring describes the ability to understand the intentions, roles, and responsibilities of other team members [36]. In this way members can closely monitor performance of others for the purpose of common goal [37]. Backup behavior describes the ability to look after the needs of other team members and to ensure balance during times of increased workload [36]. Adaptability describes the ability of team members to adapt their work to feedback from other team members in order to achieve the common goal [38]. This characteristic requires flexibility. Every team member must be able to adequately response to changing conditions [36]. Team orientation describes the ability to prioritize team goals over individual goals and to respect different opinions [37, 39, 40].
The motivation of the team members has to be present and preserved. Clear and attainable goals must be set. Satisfactory education and career opportunities must be promoted for residents and other team members. Further requirements are the willingness to balanced member contributions, mutual support, effort, and cohesion [41]. The personality type of the team members is a characteristic that cannot be trained. It can only be adjusted to a certain extent. During the hiring of the team member, care must be taken to ensure that they complement and enrich the team and that their specific personality type suits the team. Unsuitable personality type constellation in the team has to be corrected by cancelation or rotations of team members. Here, a proven method of measuring teamwork in people wanting to join a team can help out. The knowledge, skills, and abilities teamwork test (KSA) was introduced in 1994 by Stevens [42]. In a 35-point test it assesses 14 individual KSA requirements for teamwork. The KSA focuses on team-oriented situations, which makes it suitable for evaluating teamwork and team-specific behavior, determining the level of teamwork and finding ways to improve communication.
5. Team processes in the surgical department
Team processes are recurring and ongoing short-term courses that occur in the team. The following specific teamwork processes are grouped into three categories: transition processes, action processes and interpersonal processes [43, 44]. Consciously going through these processes by the team leads to a general improvement in performance by improving collaboration, coordination, and communication of the team members [45]. Action processes occur when the team takes tangible steps to achieve their goals. The progress toward the goals is monitored by responsible team members. Transition processes take place between periods of action. During the transition process, the team assesses its overall performance. The team members give feedback to each other and try to improve the upcoming action process. The interpersonal process is an ongoing process in which team members have to communicate all their positive and/or negative opinions about other team members or about the team’s performance.
6. Team developmental model
The team developmental model proposes to separate the development of a team in four stages over a longer period of time: forming, storming, norming, and performing [46]. There are different levels of teamwork in each stage. The forming stage is characterized by mistrust, lack of risk-taking, approach and avoidance attempts of the new team members. There is an internal conflict between members who seek their place among themselves. This stage has a low level of teamwork performance. The storming stage is the stage of deeper conflicts. There is competition for power and authority between team members. This stage has a varying level of teamwork performance, which is predictive for the future of the team. The norming stage is characterized by rising levels of interdependence, team spirit and reliability. This stage has a high level of teamwork performance. The performing stage is the last stage of team development. It is characterized by a satisfactory environment in which the team is able to accomplish its tasks most effectively and successfully. This stage has the highest level of teamwork performance.
7. Measuring and training of teamwork
Each team must be regularly assessed for their nontechnical skills. The causes of good and bad team results must be identified in the characteristics of the team members. Feedback must be given to all team members. The identified weaknesses or strengths in the characteristics of the team members can thus be corrected or promoted. To implement this task, tools had to be developed that allow nontechnical skills of a team to be measured. Numerous such measurement tools have so far been developed for teams in general and have been improved over time. With the increasing awareness that teamwork is fundamental to the outcome of surgical patients [47], progress has also been made in measurement of nontechnical surgical team skills over the past decade. However, experience shows that in practice surgical teams are insufficiently and inconsistently measured [47]. The possibility of training teamwork with serious improvement of the team performance is questionable. While some authors recommend regular team training [14, 48], a systematic review of literature from 2011 with 1036 identified relevant abstracts and 14 articles (four randomized studies and 10 nonrandomized studies) analyzed in detail came to the conclusion that evidence for the technical or clinical benefits of teamwork training in medicine is insufficient [49]. Another systematic review of literature from 2018 stated that there is insufficient evidence to support the hypothesis that teamwork training interventions improve patient outcomes [19]. One could conclude from this that the personality type of the team members plays a very important role, as this is the main characteristic that can hardly be changed or trained. Candidates wishing to join the team must therefore be carefully screened for their suitability with the rest of the team.
7.1 Measuring tools for the surgical team
Current literature shows that teamwork disruptions, communication errors, cultural and hierarchical barriers lead to safety deficiencies in the operating rooms [50, 51, 52, 53]. Furthermore, a systematic review of the literature from 2012 with 28 included studies showed a strong correlation between teamwork failure and technical errors during surgery [54]. A control instrument was required. Several tools have been developed to evaluate teamwork in operating theaters based on direct observation or video analysis [50, 55, 56, 57, 58, 59, 60, 61, 62, 63]. In a current systematic review of 2121 searched references and 14 studies included, two assessment tools were identified to measure effectively the nontechnical skills of the surgical team in the operating theater: The Observational Teamwork Assessment for Surgery (OTAS) and Operating Theater Team Non-Technical Skills Assessment Tool (NOTECHS) [47]. The criticism of both tools is that they rely on the questionable assumption that the team performance equals the sum of performances of the team members [47]. The Observational Teamwork Assessment for Surgery was introduced in 2009 by Sevdalis [55] and validated in 2010 by Hull [56]. OTAS consists of 15 items with a 7-point scale and assesses teamwork-related task checklists and teamwork-related behaviors [55]. The validity and reliability of the NOTECHS tool was demonstrated in live operating theater environments in 2009 by Mishra [57]. The tool was restructured and improved in 2014 by Robertson [57]. The new NOTECHS II tool offers a higher level of precision and a higher measuring sensitivity [58]. Another systematic review of iterature from 2015 with 25 studies included concluded that the Nontechnical Skills for Surgeons (NOTSS) assessment was the tool with the highest level of validity, reliability, and acceptability [64]. The NOTSS assesses situation awareness, decision-making, communication, teamwork, and leadership in a 4-point numeric scale system [65, 66]. A systematic review of literature from 2013 indicated that safety checklists are beneficial for teamwork and communication in the operating theater [67]. This may be one mechanism through which patient outcomes are improved [67]. The results of another systematic review and meta-analysis from 2014 with 19 included studies found that surgical safety checklists improve teamwork and communication, reduce morbidity and mortality [68].
7.2 Measuring tools for the surgical ward team
Teamwork in the surgical ward is as important as in the operating theater. In an assessment of patient risks associated with poor communication in surgical care the following problems were detected: communication during the surgical ward round is often limited between patient and physician, with nurses making little contribution [69]. Nurses sometimes have important additional information about patients. Unlike physicians, they monitor patients’ daily activities. Therefore, only surgical ward rounds with an integrated assessment by different professional groups, including nurses, allow a complete collection of the important and necessary patient information [69]. Up to two thirds of the deadly events in hospitals are due to surgical care [25, 26]. Communication errors have been identified as the main cause of these adverse events [24, 27]. A study on surgical treatment errors due to communication breakdown showed that their occurrence is equally distributed across the continuum of care, before, during and after surgery [51]. Despite this knowledge about the distribution of adverse events, there is sparse literature on the measurement of teamwork quality in the surgical ward. Filling this large gap in science will show at which points in the surgical ward improvements in teamwork are necessary. In 2019, Krishnamohan introduced a surgical ward round checklist to monitor documentation [33]. It is claimed to improve communication between team members in the surgical ward team [33]. In 2014, Hull introduced a combined assessment toolkit for technical and nontechnical team skills in surgical ward care [70]. It consists of a novel clinical checklist for ward care (Clinical Skills Assessment for Ward Care); a novel team assessment scale for ward rounds (Teamwork Skills Assessment for Ward Care); and a revised version of a physician-patient interaction scale (Physician-Patient Interaction Global Rating Scale) [70]. It provides a systematic assessment of the quality and safety of surgical care and can be used to check and train residents’ skills and performance.
7.3 Measuring tools for the emergency surgical team
The surgical team in the emergency room is often exposed to critical situations. Managing patients in a life-threatening condition is probably the greatest responsibility of medical staff. These teams often consist of interdisciplinary medical staff which is exposed to the challenge to work simultaneously on the treatment of critically ill patients [71]. Wrong decisions quickly lead to fatal consequences. For this reason, in addition to necessary knowledge and experience, strict leadership of the team is required. Only then can clear and quick decisions be made and unambiguous instructions given to the team. Leadership skills are highlighted in advanced life support training and have shown beneficial results in simulated and clinical resuscitation scenarios [72]. A study of 106 adult resuscitation team events with three or more team members over a 10-month period found a need for leadership training [73]. Emergency teams must develop their leadership skills through training and reflective debriefing [73]. Nevertheless, teamwork is indispensable again. A promising way to improve quality in emergency teams is to use nontechnical skills that aim to address human factors by improving leadership, communication, and decision-making [72]. Assessments to evaluate the nontechnical skills of the team are essential to reduce medical errors and improve team performance [71]. In a systematic review of literature from 2016 10 assessment tools for nontechnical skills of hospital action teams were identified [71]. Unfortunately, the validity of these assessment tools to measure the nontechnical performance is limited [71]. A feasible, valid, and reliable measuring tool is the Team Emergency Assessment Measure (TEAM) [73].
8. Benefits and disadvantages of teamwork
Despite the numerous studies that have found advantages in the use of nontechnical skills in surgery, possible disadvantages are still being discussed [74, 75]. Over-focusing on teamwork can prevent teams from peaking. On the one hand, this can affect the whole team or, more often, individual team members who, like the faster animals in a moving herd, wait for the slower ones. In this way more competitive and talented team members can be disadvantaged in favor of the team and their development can be slowed down. One can certainly imagine that the desire and pursuit of professional self-actualization and even showing off is more strongly expressed among surgeons than among other groups of physicians. Forced commitment to teamwork might reduce the autonomy and individualism of some team members. In other cases, the workload is unevenly distributed, with some team members doing more work and others less. Therefore, the aim of the team leader and of all team members must be to avoid such unfair events. All of these events are possible reasons for conflict in the team. The resulting conflicts prevent the team from achieving the common goal. These potential problems in the team should be considered. A team needs to create conditions for healthy team competition. This can help keep team members motivated, outperform the team average and not suppress individual talents. Again, taking into account the professional development of individual team members must not impair the team cooperation, as it is known that team cooperation is more often associated with very successful and effective teams [76, 77].
Still, the distinct advantages in teamwork in the surgical department must be emphasized. A combined problem-solving effort of the team has surely more potential than an individual [78]. Another advantage of teamwork is building relationships. The pursuit of a common goal leads to greater cohesion, which improves the team’s performance [43, 78]. Distinct individual qualities of a team member can also be advantageous in case that the knowledge and skills are offered to improve other team members.
9. Leadership and teamwork
Team leadership describes the ability to coordinate team activities, to distribute tasks fairly, to evaluate performance, to provide feedback and in this way to enhance the team performance [37, 39]. Leadership is a process where the leading team member sets the direction for one or more team members and helps them improve their performance [79]. Positive leadership skills lead to better satisfaction of the medical staff, higher motivation of team members, increased staff retention, and improved performance [80, 81, 82, 83]. Beneficial team leadership leads to increased patient satisfaction and reduced adverse events [84, 85, 86].
There are different styles of leadership [87], whereby the dominant role of the leader is more or less pronounced. The style of leadership indicates the level of authority of the team leader. Under strict leadership there is less freedom and leeway for subordinate team members. Strict leadership is based on a pronounced hierarchy in the team, led by an authoritarian leader with subordinate followers. On the other hand, servant leadership is a style in leadership where leaders serve their followers [88, 89, 90]. Servant leaders try to build a stable organization, bring out the best performance and serve the team [91]. A detailed comparison of lean and servant leadership is given in a systematic review of literature of 29 articles [92]. A systematic review of literature with 18 articles included found that leadership styles were strongly correlated with quality in care, both for the patients and medical staff [93]. Finally, leadership and teamwork must not be seen as contradicting characteristics of teams in the surgical department. Strict leadership does not automatically exclude the need for a functioning team. Every style of leadership and even strict leadership depends on the team members and on their differently led team.
10. Conclusion
Teamwork is essential in surgery. A surgeon alone cannot adequately fulfill his daily tasks, neither in the operating theater nor in the surgical ward nor in the emergency department (Table 1). The teamwork, that is, nontechnical skills, of teams in the surgical department has an obvious impact on patient outcome. The privilege and burden of decision-making is primarily focused on the surgeon. The performance of the team members depends on the behavior, knowledge, and interpersonal and leadership skills of the surgeon as a team leader. Every team leader depends on his team members. Leadership and teamwork must not be seen as contradicting characteristics of the teams in the surgical department. Both are necessary for the surgical department to function. Each team must be regularly assessed for their nontechnical skills. The causes of good and bad team results must be identified in the characteristics of the team members. Feedback must be given to all team members. The identified weaknesses or strengths in the characteristics of the team members can thus be corrected or promoted. To implement this task, tools had to be developed that allow nontechnical skills of a team to be measured. Two assessment tools are recommended to measure the nontechnical skills of the surgical team in the operating theater: The Observational Teamwork Assessment for Surgery (OTAS) and Operating Theater Team Non-Technical Skills Assessment Tool (NOTECHS). There is a reliable combined assessment tool to measure technical and nontechnical team skills in the surgical ward team. It consists of a novel clinical checklist for ward care (Clinical Skills Assessment for Ward Care); a novel team assessment scale for wards rounds (Teamwork Skills Assessment for Ward Care); and a revised version of a physician-patient interaction scale (Physician-Patient Interaction Global Rating Scale). The Team Emergency Assessment Measure (TEAM) can be used as a measuring tool for emergency surgical teams. Current literature shows that teamwork training interventions do not improve patient outcomes significantly. The personality type of the team members seems to play a very important role, as this is the main characteristic that can hardly be changed or trained. Candidates wishing to join the team must therefore be carefully screened for their suitability with the rest of the team. This is where the Teamwork Test (KSA) of knowledge, skills, and abilities can be helpful as a proven method of measuring teamwork in people who want to join a team. Frequent changes to the members of the core surgical team should be avoided, since the surgical team is a very well-coordinated and professional team. Despite the numerous studies that have found advantages in the use of nontechnical skills in surgery, possible disadvantages are still being discussed. Over-focusing on teamwork can prevent team members from peaking. More competitive and talented team members might be disadvantaged in favor of the team and their development can be slowed down. Forced commitment to teamwork might reduce the autonomy and individualism of some team members. A team needs to create conditions for healthy team competition. This can help keep team members motivated, outperform the team average and not suppress individual talents. Still, the distinct advantages in teamwork in the surgical department must be emphasized. A combined problem-solving effort of the team has surely more potential than an individual. The pursuit of a common goal leads to greater cohesion, which improves the team’s performance. Distinct individual qualities of a team member can also be advantageous in case that the knowledge and skills are offered to improve other team members. Once again, teamwork is essential in surgery.
Key points
Remarks/explanations
Types of surgical teams
Surgical team in operating theater
Consists of a surgeon, an anesthetist, a surgeon’s assistant, a nurse anesthetist, a circulating nurse, and a surgical technologist
Surgical ward team
Consists of at least one surgeon and one nurse
Emergency surgical team
The general or trauma surgeon is the trauma leader, when treating polytraumatized patients
Characteristics of team members
Communication and coordination
Required to avoid conflicts, confusion, and overstepping boundaries
Collaboration
Required to complete tasks on time and to share the workload fairly
Interdependency
Required to maintain trust, reliability, and risk taking
Mutual performance monitoring
Ability to understand the intentions, roles, and responsibilities of other team members
Backup behavior
Ability to look after the needs of other team members
Adaptability
Ability to adapt the work to feedback from other team members
Team orientation
Ability to prioritize team goals and to respect different opinions
Personality type
Cannot be trained; it can only be adjusted to a certain extent
Team processes
Action process
When the team takes tangible steps to achieve their goals
Transition process
Between two action processes
Interpersonal process
Ongoing communication about positive and/or negative opinions or about the team’s performance
Team developmental model
Forming
Internal conflict between team members; low level of teamwork performance
Storming
Deeper conflicts due to competition for power and authority between team members; varying level of teamwork performance
Norming
Rising levels of interdependence, team spirit and reliability; high level of teamwork performance
Performing
Team is able to accomplish its tasks most successfully; highest level of teamwork performance
Measuring tools
OTAS
Teamwork assessment tool in operating theater
NOTECHS
Teamwork assessment tool in operating theater
NOTSS
Teamwork assessment tool in operating theater
Tool for technical and nontechnical skills in surgical ward care
Combined assessment toolkit for technical and nontechnical team skills in surgical ward care
TEAM
Measuring tool for teamwork in emergency
KSA
Knowledge, skills, and abilities test measuring teamwork in people wanting to join a team
Table 1.
Summary table of important information.
\n',keywords:"teamwork, surgical department, leadership, surgical ward, operating theater",chapterPDFUrl:"https://cdn.intechopen.com/pdfs/73280.pdf",chapterXML:"https://mts.intechopen.com/source/xml/73280.xml",downloadPdfUrl:"/chapter/pdf-download/73280",previewPdfUrl:"/chapter/pdf-preview/73280",totalDownloads:1114,totalViews:0,totalCrossrefCites:0,totalDimensionsCites:0,totalAltmetricsMentions:0,impactScore:0,impactScorePercentile:34,impactScoreQuartile:2,hasAltmetrics:0,dateSubmitted:"June 1st 2020",dateReviewed:"August 24th 2020",datePrePublished:"September 26th 2020",datePublished:"April 21st 2021",dateFinished:"September 21st 2020",readingETA:"0",abstract:"Teamwork is essential in surgery. A surgeon alone cannot fulfill his daily tasks. Surgical departments are divided into surgical teams: the surgical team in the operating theater, the surgical ward team, and the surgical emergency team. The common task of those teams is adequate patient care. The characteristics of team members describe necessary abilities such as: open communication, effective coordination skills, collaboration willingness, interdependency, mutual performance monitoring, backup behavior, adaptability, team orientation, and personality type. Team processes are recurring and ongoing short-term courses that occur in the team. The team developmental model separates the development of a team in four stages over a longer period of time. In the last stage, the team reaches the highest level of teamwork performance. Each team must be assessed for their nontechnical skills with team measurement tools. Surgical teams are insufficiently measured. There are possible disadvantages in teamwork, which must be considered and discussed versus the obvious benefits. Leadership is a process where the leading team member sets the direction for the others. There are different styles of leadership, whereby the dominant role of the leader is more or less pronounced. Leadership and teamwork are not contradicting characteristics of teams in the surgical department.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/73280",risUrl:"/chapter/ris/73280",book:{id:"9559",slug:"teamwork-in-healthcare"},signatures:"Nikolai Ramadanov",authors:[{id:"322676",title:"Dr.",name:"Nikolai",middleName:null,surname:"Ramadanov",fullName:"Nikolai Ramadanov",slug:"nikolai-ramadanov",email:"nikolai.ramadanov@gmail.com",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:null}],sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. Collaborative effort of a team to achieve a common goal",level:"1"},{id:"sec_3",title:"3. Teams in the surgical department",level:"1"},{id:"sec_3_2",title:"3.1 The surgical team in operating theater",level:"2"},{id:"sec_3_3",title:"3.1.1 Surgeon",level:"3"},{id:"sec_4_3",title:"3.1.2 Anesthetist",level:"3"},{id:"sec_5_3",title:"3.1.3 Surgical assistant",level:"3"},{id:"sec_6_3",title:"3.1.4 Nurse anesthetist",level:"3"},{id:"sec_7_3",title:"3.1.5 Surgical technologist",level:"3"},{id:"sec_8_3",title:"3.1.6 Circulating nurse",level:"3"},{id:"sec_10_2",title:"3.2 The surgical ward team",level:"2"},{id:"sec_11_2",title:"3.3 The emergency surgical team",level:"2"},{id:"sec_13",title:"4. Characteristics of team members",level:"1"},{id:"sec_14",title:"5. Team processes in the surgical department",level:"1"},{id:"sec_15",title:"6. Team developmental model",level:"1"},{id:"sec_16",title:"7. Measuring and training of teamwork",level:"1"},{id:"sec_16_2",title:"7.1 Measuring tools for the surgical team",level:"2"},{id:"sec_17_2",title:"7.2 Measuring tools for the surgical ward team",level:"2"},{id:"sec_18_2",title:"7.3 Measuring tools for the emergency surgical team",level:"2"},{id:"sec_20",title:"8. Benefits and disadvantages of teamwork",level:"1"},{id:"sec_21",title:"9. Leadership and teamwork",level:"1"},{id:"sec_22",title:"10. Conclusion",level:"1"}],chapterReferences:[{id:"B1",body:'Salas E, Cooke NJ, Rosen MA. On teams, teamwork, and team performance: Discoveries and developments. Human Factors. 2008;50(3):540-547. DOI: 10.1518/001872008X288457'},{id:"B2",body:'Driskell JE, Salas E, Driskell T. Foundations of teamwork and collaboration. The American Psychologist. 2018;73(4):334-348. DOI: 10.1037/amp0000241'},{id:"B3",body:'Chang A, Bordia P, Duck J. Punctuated equilibrium and linear progression: Toward a new understanding of group development. 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DOI: 10.1093/bja/aeg112'},{id:"B64",body:'Whittaker G, Abboudi H, Khan MS, Dasgupta P, Ahmed K. Teamwork assessment tools in modern surgical practice: A systematic review. Surgery Research and Practice. 2015;2015:494827. DOI: 10.1155/2015/494827'},{id:"B65",body:'Crossley J, Marriott J, Purdie H, Beard JD. Prospective observational study to evaluate NOTSS (Non-Technical Skills for Surgeons) for assessing trainees’ non-technical performance in the operating theatre. The British Journal of Surgery. 2011;98(7):1010-1020'},{id:"B66",body:'Yule S, Flin R, Paterson-Brown S, Maran N, Rowley D. Development of a rating system for surgeons’ non-technical skills. Medical Education. 2006;40(11):1098-1104'},{id:"B67",body:'Russ S, Rout S, Sevdalis N, Moorthy K, Darzi A, Vincent C. Do safety checklists improve teamwork and communication in the operating room? A systematic review. Annals of Surgery. 2013;258(6):856-871. DOI: 10.1097/SLA.0000000000000206'},{id:"B68",body:'Lyons VE, Popejoy LL. Meta-analysis of surgical safety checklist effects on teamwork, communication, morbidity, mortality, and safety. Western Journal of Nursing Research. 2014;36(2):245-261. DOI: 10.1177/0193945913505782'},{id:"B69",body:'Nagpal K, Vats A, Ahmed K, et al. A systematic quantitative assessment of risks associated with poor communication in surgical care. Archives of Surgery. 2010;145(6):582-588. DOI: 10.1001/archsurg.2010.105'},{id:"B70",body:'Hull L, Birnbach D, Arora S, Fitzpatrick M, Sevdalis N. Improving surgical ward care: Development and psychometric properties of a global assessment toolkit. Annals of Surgery. 2014;259(5):904-909. DOI: 10.1097/SLA.0000000000000451'},{id:"B71",body:'Rehim SA, DeMoor S, Olmsted R, Dent DL, Parker-Raley J. Tools for assessment of communication skills of hospital action teams: A systematic review. Journal of Surgical Education. 2017;74(2):341-351. DOI: 10.1016/j.jsurg.2016.09.008'},{id:"B72",body:'Chalwin RP, Flabouris A. Utility and assessment of non-technical skills for rapid response systems and medical emergency teams. Internal Medicine Journal. 2013;43(9):962-969. DOI: 10.1111/imj.12172'},{id:"B73",body:'Cooper S, Cant R, Connell C, et al. Measuring teamwork performance: Validity testing of the Team Emergency Assessment Measure (TEAM) with clinical resuscitation teams. Resuscitation. 2016;101:97-101. DOI: 10.1016/j.resuscitation.2016.01.026'},{id:"B74",body:'Osbrun J, Moran L, Musselwhite E. Self-Directed Work Teams: The New American Challenge. Homewood, IL: McGraw-Hill; 1990. pp. 1-26. ISBN 978-1556233418'},{id:"B75",body:'Katzenbach J, Smith D. The Wisdom of Teams: Creating the High-Performance Organization. 1st ed. Boston: Harvard Business School Press; 1993. pp. 1-26'},{id:"B76",body:'Chapa OR, Fuller SM, Hernandez LJ, McCray T. Competition versus collaboration in health care teams. Creative Nursing. 2017;23(2):97-101. DOI: 10.1891/1078-4535.23.2.97'},{id:"B77",body:'Paulus P. Groups, teams, and creativity: The creative potential of idea-generating groups. Applied Psychology. 2000;49(2):237-262. DOI: 10.1111/1464-0597.00013'},{id:"B78",body:'Chin R. Examining teamwork and leadership in the fields of public administration, leadership, and management. Team Performance Management. 2015;21(3/4):199-216. DOI: 10.1108/TPM-07-2014-0037'},{id:"B79",body:'Aij KH, Visse M, Widdershoven GA. Lean leadership: An ethnographic study. Leadership in Health Services (Bradford, England). 2015;28(2):119-134. DOI: 10.1108/LHS-03-2014-0015'},{id:"B80",body:'Weberg D. Transformational leadership and staff retention: An evidence review with implications for healthcare systems. Nursing Administration Quarterly. 2010;34:246-258. DOI: 10.1097/NAQ .0b013e3181e70298'},{id:"B81",body:'Menaker R, Bahn RS. How perceived physician leadership behavior affects physician satisfaction. Mayo Clinic Proceedings. 2008;83:983-988. DOI: 10.4065/83.9.983'},{id:"B82",body:'Gowen CR III, Henagan SC, McFadden KL. Knowledge management as a mediator for the efficacy of transformational leadership and quality management initiatives in U.S. health care. Health Care Management Review. 2009;34:129-140. DOI: 10.1097/HMR.0b013e31819e9169'},{id:"B83",body:'Brady Germain P, Cummings GG. The influence of nursing leadership on nurse performance: A systematic literature review. Journal of Nursing Management. 2010;18:425-439. DOI: 10.1111/j.1365-2834.2010.01100.x'},{id:"B84",body:'Stockwell DC, Slonim AD, Pollack MM. Physician team management affects goal achievement in the intensive care unit. Pediatric Critical Care Medicine. 2007;8:540-545. DOI: 10.1097/01.PCC.0000288709.15113.8A'},{id:"B85",body:'Wong CA, Cummings GG. The relationship between nursing leadership and patient outcomes: A systematic review. Journal of Nursing Management. 2007;15:508-521. DOI: 10.1111/j.1365-2834.2007.00723.x'},{id:"B86",body:'Hix C, McKeon L, Walters S. Clinical nurse leader impact on clinical microsystems outcomes. The Journal of Nursing Administration. 2009;39:71-76. DOI: 10.1097/NNA.0b013e318195a612'},{id:"B87",body:'Horner M. Leadership theory: Past, present and future. Team Performance Management. 1997;3(4):270-287. DOI: 10.1108/13527599710195402'},{id:"B88",body:'Barbuto JE. Scale development and construct clarification of servant leadership. Group & Organization Management. 2006;31(3):300-326. DOI: 10.1177/1059601106287091'},{id:"B89",body:'Spears L. Reflections on Robert K. Greenleaf and servant leadership. Leadership and Organization Development Journal. 1996;17(7):33-35. DOI: 10.1108/01437739610148367'},{id:"B90",body:'Stone AG, Russell RF, Patterson K. Transformational versus servant leadership: A difference in leader focus. Leadership and Organization Development Journal. 2004;25(4):349-361. DOI: 10.1108/01437730410538671'},{id:"B91",body:'Hanse JJ, Harlin U, Jarebrant C, Ulin K, Winkel J. The impact of servant leadership dimensions on leader-member exchange among health care professionals. Journal of Nursing Management. 2016;24(2):228-234. DOI: 10.1111/jonm.12304'},{id:"B92",body:'Aij KH, Rapsaniotis S. Leadership requirements for lean versus servant leadership in health care: A systematic review of the literature. Journal of Healthcare Leadership. 2017;9:1-14. DOI: 10.2147/JHL.S120166'},{id:"B93",body:'Sfantou DF, Laliotis A, Patelarou AE, Sifaki-Pistolla D, Matalliotakis M, Patelarou E. Importance of leadership style towards quality of care measures in healthcare settings: A systematic review. Healthcare (Basel). 2017;5(4):73. DOI: 10.3390/healthcare5040073'}],footnotes:[],contributors:[{corresp:"yes",contributorFullName:"Nikolai Ramadanov",address:"nikolai.ramadanov@gmail.com",affiliation:'
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1. Introduction
Phytoplankton live near the water surface to capture sufficient light for photosynthesis and act as the primary producer of the plankton community. They form the bottom levels of the marine and aquatic food webs, and their existence not only makes life in the water possible but also makes the ocean an important food source for mankind. Phytoplankton play a crucial role in the biogeochemical cycles of many important chemical elements, not only carbon but also of other elements, such as silica and nitrogen [1, 2, 3, 4]. The release and uptake of CO2 and CH4, and the excretion of dimethylsulphide by phytoplankton influence the atmosphere and climate [5]. As a result of the changes in their living condition, their composition and concentration vary over space and time, which in turn can influence the whole ecosystem, such as through the changes in the size structure, formation of harmful algal blooms and development of hypoxic regions. Blooms and hypoxia can disrupt food-webs and threaten human health.
Phytoplankton pigments capture sunlight. The resulting photosynthesis and its products, especially the oxygen and organic compounds, all rely on the light energy captured by the different phytoplankton pigments [6, 7, 8]. Chlorophyll a is the major pigment for light harvesting. Accessory pigments (e.g. chlorophylls b and c, carotenoids, and phycobiliproteins) also play a significant role in photosynthesis and photoprotection, by extending the light collection window and protecting the cell from damage of high irradiance levels or high ultraviolet light exposure. With the commercial availability of fluorometers, routine measurements of chlorophyll a became possible. That single technology to measure chlorophyll a fluorescence made the measurement a universal parameter for estimating phytoplankton biomass and productivity. As a result of improvements in culturing, microscopy, HPLC and molecular methods, rapidly separating and quantifying pigments from different phytoplankton has become possible [9, 10, 11]. These new measurements make it possible to use phytoplankton pigments as indicators to elucidate the composition and fate of phytoplankton in the world’s oceans [12].
Light absorbed by phytoplankton pigments provides the initial energy for carbon cycles, and is also one of the major factors influencing the appearance of water color [13, 14, 15, 16]. To study this important water column phenomenon, ocean color remote sensing was first proposed in late 1970s. Satellite-based ocean color remote sensing provides unique observational capability to scientists for phytoplankton studies by providing synoptic views of the ocean with high spatial and temporal resolution. Since the Coastal Zone Color Scanner (CZCS) mission, chlorophyll a retrieval has been the principle focus of ocean color remote sensing research (e.g., [17]). Whereas this focus continues to the present [18, 19, 20], an evolving interest in retrieving other pigments, has emerged in recent years.
What follows, based on the most recent research findings from the ocean color community, is a brief review of how phytoplankton pigments are estimated from water samples, how pigment maps are derived from satellite measurements and what are the existing challenges and opportunities for the estimates and application of remote sensed pigments. This chapter is not meant to present a comprehensive list of all possible topics related to satellite-based pigment observations, but rather its focus is on the history of pigment retrievals with several examples showing major findings. For interested readers, a full breadth and depth knowledge in this field can be obtained by reading the refereed literature and technical reports compiled on the National Aeronautics and Space Administration ocean color website (https://oceancolor.gsfc.nasa.gov) and by International Ocean Color Coordinating Group (http://www.ioccg.org).
2. Phytoplankton and pigment properties
2.1 Optical properties
2.1.1 Absorption properties
Optical properties of phytoplankton, especially the absorption coefficients of the pigments inside them (Figure 1), play a key role in determining not only the use of this radiant energy for photosynthesis, but also the penetration of the radiant energy within water. These pigment absorption coefficients are important for identifying and quantifying phytoplankton groups [12] and size class distributions (IOCCG report 15 and references therein), understanding of photosynthetic rate [11, 21], and in particular for ocean color interpretation.
Figure 1.
Weight-specific (or pigment-specific) in vitro absorption spectra of various pigments derived from measuring the absorption spectra of individual pigments in solvent and shifting the maxima of the spectra according to Bidigare et al. [14]. Data obtained courtesy of Annick Bricaud (See Bricaud et al. [15]). Credit to Moisan et al. [30].
Light absorption properties of phytoplankton cells from laboratory cultures as experimental materials have received a great deal of attention in fundamental photosynthesis research [22, 23]. However, the phytoplankton pigment absorption properties from natural water is the information needed in ocean color remote sensing. The collection of phytoplankton pigment information has been obtained from measurement of the spectral absorption of phytoplankton, usually through filtration onto a filter pad because of the low in situ concentrations of phytoplankton in the water [24].
Using data on pigment concentrations and their absorption properties, Kirkpatrick et al. [25] used the specific pigment absorption peaks for identification of phytoplankton types. This method has been integrated into spectral shape-based remote sensing algorithms [26, 27]. However, the absorption of phytoplankton is more complicated than a simple sum of the absorption properties of individual pigments. Differences in pigment composition and the pigment package effect influence not only the magnitude but also the shape of the spectra of phytoplankton absorption [14, 15, 28, 29, 30]. All these introduce variabilities in the specific absorption coefficients and increase the uncertainties in the application of such information.
Hoepffner and Sathyendranath [29] proposed Gaussian decomposition of phytoplankton absorption spectra. For the first time, this method decomposed the absorption spectra into Gaussian curve components and linked them to the light absorption coefficients of multiple pigments inside phytoplankton cells. Several studies followed this proxy to estimate multiple phytoplankton pigments for different water bodies [31, 32, 33] but were limited to using only in situ measured absorption coefficients. Wang et al. [34, 35] proposed a semi-analytical algorithm to obtain these Gaussian curves and pigment absorption coefficients from ocean color remote sensing data.
2.1.2 Fluorescence
A portion of the light absorbed by phytoplankton pigments can be emitted at a longer wavelength in a physical process called fluorescence [36]. The energy dissipated in fluorescence is secondary to the amount absorbed and used for photosynthesis, but it is still significant enough to be observed in ocean color remote sensing data. Chlorophyll a fluorescence has been the most significantly used fluorescence feature (Figure 2), and the detection and products from satellite ocean color sensors have been widely used [37, 38]. Several other phytoplankton pigments (pheopigments and phycobilins) can also fluoresce.
Figure 2.
Chlorophyll a fluorescence emission. Data from Du et al. [42] and Dixon et al. [43].
Several factors influence phytoplankton fluorescence: nutrient conditions, stage of growth, physiological state of phytoplankton, pigment content and ratios, taxonomic position of algae, and photoadaptation [39, 40, 41]. In situ chlorophyll fluorescence has been the most frequent method for describing the chlorophyll and phytoplankton variation and distribution in the ocean [41], but all the uncertainties from the pigment properties make the interpretation of the chlorophyll fluorescence data a challenge.
2.2 Pigment measurements
Historically, chlorophyll a has been routinely derived from filtered fluorometric measurements following standard methods using commercially availability of fluorometers. However, even standard methods yield varying results depending on the composition of pigments within the phytoplankton, and errors can be on the order of 50% [44, 45, 46]. The presence of significant amount of chlorophyll b and/or chlorophyll c, causes fluorometric techniques to under- or over-estimate Chlorophyll a with respect to fluorometric measurements [44, 45, 46, 47]. The pigment package effect is also a major source of concern.
The introduction of pigment analyses by high-pressure liquid chromatography (HPLC) [48, 49] facilitated easy and accurate separation, identification, and quantification of phytoplankton pigments. Pigment detection based on HPLC methods enables quantification of over 50 phytoplankton pigments [11, 50]. Some of the pigments can be used as diagnostic pigments for phytoplankton groups (e.g., fucoxanthin for diatoms, peridinin for dinoflagellates, alloxanthin for cryptophytes, chlorophyll b for chlorophytes, 19′-hex-fucoxanthin for haptophytes, and 19′-but-fucoxanthin for pelagophytes) [51, 52]. Moreover, diadinoxanthin and diatoxanthin are generally found in dinoflagellates (Phylum Miozoa, Class Dinophyceae) and diatoms (Phylum Bacillariophyta, Class Bacillariophyceae), whereas lutein, prasinoxanthin, neoxanthin, and violaxanthin are found in class Chlorophyceae (Phylum Chlorophyta) and class Prasinophyceae (Phylum Chlorophyta). Chlorophyll a, c, and β-carotene are used as general indicators of total algal biomass. Phytoplankton are also often categorized into three different groups: micro-phytoplankton (20–200 μm), nano-phytoplankton (2–20 μm), and pico-phytoplankton (0.2–2 μm) [53]. The contribution of each group can also be calculated using its pigment signatures [54].
3. Ocean color remote sensing
Ocean color or aquatic remote sensing refers to the use of optical measurements made from aircraft or satellites to obtain information about the constituents of the waters.
Remote sensing can be classified as active or passive based on the energy source. Active remote sensing shots signal from the sensor platform (satellite or aircraft) to the water body and detects the return signal from it. Passive remote sensing observes the light that is reflected or emitted by the water body. The most commonly used light source for passive remote sensing is sunlight. Sensors detect the reflected or backscattered light coming from the water body. The launch of the first ocean color sensor Coastal Zone Color Scanner (CZCS) in 1978, started the era for passive satellite ocean color remote sensing.
Passive ocean-color remote sensing is conceptually simple (Figure 3). The signals captured by remote sensors provide information on the types and concentrations of the various constituents of the water body. The concentrations of optically-active substances present in the water can be estimated by inverting bio-optical algorithms with remote sensing data. Although this process can be fraught with difficulties, our understanding of the oceans has been completely revolutionized by ocean color remote sensing from daily to decadal temporal scales and local to global spatial scales
Figure 3.
Conceptual figure of passive satellite ocean color remote sensing with Western Lake Erie as an example: Rrs(λ) as remote sensing reflectance, PC: pigment concentration.
For a better understanding of phytoplankton in the global ocean from large spatial and temporal scales, ocean color remote sensing is the most efficient tool, with the advantages of cost-free satellite imagery access from NASA and others, thus providing a data source for hypothesis testing and more efficient utilization of limited in situ data.
Phytoplankton pigments have a major effect on ocean color and are one of the primary reasons for studying it. Following the launch of CZCS, unprecedented data for studying the biology of the oceans have been obtained [55]. For the first time, chlorophyll a concentration in the surface ocean could be estimated at synoptic scales [56, 57], leading to unprecedented understanding of the biogeochemistry of the ocean, e.g., primary productivity [58]. These ocean-color observations were continued by the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) mission in 1997, which was then followed by the Moderate Resolution Imaging Spectroradiometer (MODIS on Terra in 2000, and Aqua in 2002), the Medium Resolution Imaging Spectrometer (MERIS, 2002–2012), the Visible Infrared Imaging Radiometer Suite (VIIRS, 2011 – present), and the upcoming hyperspectral Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) mission (planned to launch in 2023).
3.1 Remote sensing of pigments
In the past decades, the identification of phytoplankton pigments from satellite remote sensing has been mainly focused on chlorophyll a, and the products have been widely used to represent the phytoplankton biomass in the primary productivity estimation and biogeochemical models. With the increasing recognition of the important role accessory pigments play, remote sensing of pigments from space form this rapidly advancing field. High temporal and spatial monitoring are particularly important for the study of harmful algal blooms (HABs, e.g. cyanobacteria, [59, 60]). These blooms are often toxic and a growing problem in many coastal and inland waters of the world. A review of chlorophyll a algorithm for global oceans has been provided in recent papers including Dierssen [61] and Hu and Campbell [62]. In general, the method to obtain phytoplankton pigments from satellite remote sensing can be classified into two different categories: empirical, and semi-analytical.
3.1.1 Empirical methods
In the process of obtaining phytoplankton pigment, especially chlorophyll a (Chl-a) concentrations, most effort has focused on empirical algorithms, not only because of the simplicity, but also the effectiveness. The empirical methods estimate pigments from satellite derived remote sensing reflectance (Rrs(λ)) through regression of pigment concentrations against Rrs(λ) band ratios or band differences (e.g., [20, 63, 64]).
These methods account for regional variabilities in water properties and Rrs(λ) input errors through tuning of the empirical coefficients, although the empirical design makes it prone to influences from various in-water constituents. The spectrally dependent Rrs(λ) errors [65] to a large extent could be compensated through the band ratio or band difference used in empirical approaches. Thus, from the CZCS era, a set of empirical algorithms have been adopted by U.S. National Aeronautics and Space Administration (NASA) to produce the default Chl-a products from the existing ocean color satellite sensors, even though these empirical Chl-a products contain large uncertainties [61, 66].
For remote sensing of accessory pigments, Pan et al. [67] proposed to retrieve 17 different phytoplankton pigments from satellite remote sensing data using empirical methods and applied the information to phytoplankton group identification [68]. This method simply used empirical relationships between pigment concentrations with the ratio of two remote sensing reflectance bands (488 or 490 to 547 or 555 nm). However, same as Chl-a, in optically complicated coastal and inland waters, higher uncertainties could be introduced by the large influences from colored detrital matters (CDM) in coastal waters.
Eq. (1) shows the polynomial algorithm for pigments, in which the blue-green band ratio was empirically related to pigment concentrations (Cpigs):
log10Cpigs=a0+∑i=1Nailog10Rrsλ1Rrsλ2iE1
Where λ1 and λ2 represent the spectral band around blue (440–520) and green (555) region respectively, and a0 – aN are sensor specific regression coefficients. Details of the spectral bands and parameters used for each sensor can be found in [67] and on NASA ocean color website for Chl-a: https://oceancolor.gsfc.nasa.gov/atbd/chlor_a/.
3.1.2 Semi-analytical algorithms
The semi-analytical algorithms obtain pigments from Rrs(λ) by solving a series of equations established from simplified radiative transfer theory based on several bio-optical assumptions (e.g., [69, 70, 71, 72, 73]). In principle, these methods have the potential to obtain more accurate results than the empirical methods because the different water constituents affecting water color are explicitly separated. However, semi-analytical approach has its own strengths and weaknesses. Semi-analytical methods rely on tuning of the empirical parameters in the bio-optical relationships using global or local datasets. As a result of the optical properties of the constituents, the separation of them from Rrs(λ) is not as explicit as expected.
Semi-analytical algorithms are relatively more complex. Based on the radiative transfer equation, remote sensing reflectance was defined as the ratio of upwelling radiance to downwelling irradiance, and its relationship with inherent optical properties of water constituents can be expressed as:
Rrsλ=Gbbwλ+bbpλawλ+aphλ+aCDOMλ+aNAPλ+bbwλ+bbpλE2
Where G is a parameter related to the environment and solar and sensor viewing geometry. The absorption coefficients of water (aw(λ)), phytoplankton (aph(λ)), colored dissolved organic matter (aCDOM(λ)), non-algal particles (aNAP(λ)), and backscattering coefficients of water (bbw(λ)) and particles (bbp(λ)).
Pigment concentrations can be estimated from phytoplankton absorption coefficients from Gaussian decomposition (Eqs. 3 and 4) or by using pigment specific absorption coefficients (Eq. 5). Figure 4 shows an example of Chl-a global distribution map obtained from MERIS ocean color data using a semi-analytical algorithm.
Figure 4.
Chlorophyll a map of the global ocean from MERIS for the year of 2007 with data from Wang et al. [74].
aphλ=∑i=1naGauλiexp−0.5λ−λiσi2E3
log10Cpigs=a0+∑i=1nailog10aGauλiE4
where σi and aGau(λi) are the width and peak magnitude of the ith Gaussian curve at peak center (λi). As shown in Figure 1, in the Gaussian curve assumption in Hoepffner and Sathyendranath [29], each Gaussian curve represents the absorption curve of a specific pigment. Cpigs are pigment concentrations, with a0 and ai as empirical parameters [74].
aphλ=∑i=1NCpigiapigi∗E5
With a*pig as the pigment specific absorption coefficients [14, 15, 75, 76].
3.2 Application of remote sensed pigments
The measuring of ocean color from space and the increasing accuracy of in situ pigment measurements for determining phytoplankton groups and types in the water column have greatly facilitated progress in phytoplankton research.
Empirical algorithms used to calculate chlorophyll a concentration from ocean color data were established for different waters (e.g., [17, 19, 60, 63, 77, 78, 79]). The development and application of spectral inversion algorithms to ocean color data have further provided assessments of absorption by phytoplankton pigment [34, 71, 72, 80, 81, 82, 83]. Additional algorithm development using these properties has led to new retrievals regarding plankton community composition, including phytoplankton size fractions, the slope of the particle size distribution, and even specific phytoplankton groups, such as coccolithophores (Phylum Haptophyta, Class Coccolithophyceae), Trichodesmium (Phylum Cyanobacteria), and harmful algal species (e.g., [84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99] and references therein).
In recent years, the use of pigment data to map phytoplankton population and composition in the water column has become an established and convenient way of studying field phytoplankton [100]. Phytoplankton biomass and the structure of phytoplankton community have been widely quantified and assessed using photosynthetic pigment biomarkers [52, 100]. Photosynthetic pigments also function as indicators of the physiological condition of a phytoplankton community, which may be affected by environmental and trophic conditions [101]. Photosynthetic carotenoids (PSC) are dominant in high productivity waters, whereas photoprotective carotenoids (PPC) are more dominant in low productivity waters [102, 103]. In addition, intensive light increases the PPC:PSC ratio [104, 105]. Thus, the PPC:PSC ratio can be used as a good indicator of changes in environmental factors. Figure 5 shows the global maps of PPC and PSC from Wang et al. [74].
Figure 5.
Global maps of photoprotective (PPC) and photosynthetic carotenoids (PSC) from Wang et al. [74].
The sustained time series of these phytoplankton properties from ocean color remote sensing has provided major advances in our understanding of carbon dynamics, plankton annual cycles and their responses to climate variations. Simply, the satellite ocean color remote sensing of pigment will further improve the research revolution in oceanography.
4. Challenges and opportunities
4.1 Uncertainties in satellite remote sensing data
Although ocean color remote sensing observations enabled advances in our understanding of phytoplankton in the ocean, there are several fundamental limitations in the passive radiometric technique. The major uncertainties of remote sensing pigment estimates are from atmospheric correction errors, as a result of the high signal contribution of components other than the targeted water to radiances measured by ocean color instruments, such as reflection from the ocean surface, surface foam, subsurface bubbles, and atmospheric constituents, including clouds, aerosols, and air molecules. A small error from the correction of these atmospheric contribution results in large errors in the obtained remote sensing reflectance and the associated pigment information ([106] and references therein).
Another challenge with ocean color remote sensing comes from the interferences of the optical properties of retrieved water components, including absorption by phytoplankton pigments, colored dissolved matter, and nonalgal particles, and backscattering by suspended particles. This makes the uncertainties from these properties and the derived geophysical parameters from them hard to reduce. The upcoming PACE mission is designed with expanded spectral range and resolution to address this problem [107].
Finally, clouds and strongly scattering aerosol layers have been significant limitation factors of the availability of satellite ocean color data. On average, about 70% of the Earth’s ocean area were covered by clouds on the daily scene obtained from a sensor. For broken cloud or aerosol interfered scenes, the accuracy of ocean color retrievals can be compromised compared to clear sky pixels. In high altitude regions, specifically the polar regions, cloud conditions and low sun angles limited ocean color sampling from late fall through early spring of next year. The lack of sampling for this long period of time makes it impossible for a complete understanding of the biogeochemistry and plankton annual cycles of some of the most productive waters [108].
Other issues are from the limitation of spectral, spatial, and temporal resolutions of the existing satellite sensors: some harmful algal blooms occurring in small lakes and ponds are not able to be detected by satellite sensors with low spatial resolution (~1 km); while the high spatial resolution sensors (e.g., Landsat 8) cannot provide timely coverage of bloom events due to their low temporal resolution.
4.2 More accurate in situ measurements
The satellite ocean color remote sensing has been tasked to acquire remote sensing imagery, validate and monitor its accuracy, process the radiometric data into geophysical information using different algorithms, and apply the final products into scientific research. One of the principles of in situ datasets for the calibration and validation procedure is estimates of near-surface pigment concentrations [109]. Thus, accurate and complete pigment measurements are important to algorithm development as used with remote sensing of phytoplankton pigments. The application of pigment chemotaxonomy in oceanography will be more firmly established by advances in taxonomy and improved pigment analysis (e.g. greater resolution with advanced HPLC and ultra-high performance liquid chromatography – UPLC), more rapid and secure chemical identification, and further measurement and estimation of in vivo pigment absorption coefficients. With improvement in these techniques, more discoveries in pigment and taxonomic diversity and further understanding of their influences on the biogeochemical cycles of the ocean will be achieved. The current challenging environment from climate change makes this an urgent need [14, 15, 75, 76, 91, 110, 111].
4.3 Active remote sensing: LIDAR
Compared to passive ocean color remote sensing, lidar shows many advantages, such as operating at night and high latitudes, and can generally penetrate to the subsurface chlorophyll maximum [112, 113]. Airborne lidar is particularly useful for mapping the depth distribution of phytoplankton. The characteristic depth profiles of phytoplankton provide useful information for differentiation of phytoplankton species as described in Moore et al. [114] two different species of harmful Cyanobacteria in Lake Erie, USA can be identified by the differences in their characteristic depth profiles.
Combining the observations from lidar and ocean color sensors, especially the advanced upcoming PACE mission, would enable the achievement of greater synergies. The pairing of an ocean-optimized satellite profiling lidar with a passive ocean color sensor would provide maximized global data coverage, and enable three-dimensional reconstruction of ocean ecosystems, which would further favor the algorithm development, and expand the retrieval of geophysical properties.
Acknowledgments
We thank the National Aeronautics and Space Administration (NASA) for providing the MERIS imagery, and the support from the NASA Advanced Information Systems Technology (AIST) program.
\n',keywords:"phytoplankton, pigments, remote sensing, ocean color, satellite",chapterPDFUrl:"https://cdn.intechopen.com/pdfs/74590.pdf",chapterXML:"https://mts.intechopen.com/source/xml/74590.xml",downloadPdfUrl:"/chapter/pdf-download/74590",previewPdfUrl:"/chapter/pdf-preview/74590",totalDownloads:182,totalViews:0,totalCrossrefCites:0,dateSubmitted:"November 25th 2020",dateReviewed:"December 4th 2020",datePrePublished:"May 5th 2021",datePublished:"May 18th 2022",dateFinished:"December 26th 2020",readingETA:"0",abstract:"Pigments, as a vital part of phytoplankton, act as the light harvesters and protectors in the process of photosynthesis. Historically, most of the previous studies have been focused on chlorophyll a, the primary light harvesting pigment. With the advances in technologies, especially High-Performance Liquid Chromatography (HPLC) and satellite ocean color remote sensing, recent studies promote the importance of the phytoplankton accessory pigments. In this chapter, we will overview the technology advances in phytoplankton pigment identification, the history of ocean color remote sensing and its application in retrieving phytoplankton pigments, and the existing challenges and opportunities for future studies in this field.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/74590",risUrl:"/chapter/ris/74590",signatures:"Guoqing Wang and John Moisan",book:{id:"10251",type:"book",title:"Plankton Communities",subtitle:null,fullTitle:"Plankton Communities",slug:"plankton-communities",publishedDate:"May 18th 2022",bookSignature:"Leonel Pereira and Ana Marta Gonçalves",coverURL:"https://cdn.intechopen.com/books/images_new/10251.jpg",licenceType:"CC BY 3.0",editedByType:"Edited by",isbn:"978-1-83968-609-2",printIsbn:"978-1-83968-608-5",pdfIsbn:"978-1-83968-610-8",isAvailableForWebshopOrdering:!0,editors:[{id:"279788",title:"Dr.",name:"Leonel",middleName:null,surname:"Pereira",slug:"leonel-pereira",fullName:"Leonel Pereira"}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"}},authors:[{id:"330788",title:"Dr.",name:"Guoqing",middleName:null,surname:"Wang",fullName:"Guoqing Wang",slug:"guoqing-wang",email:"gqwang18@gmail.com",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:{name:"National Aeronautics and Space Administration",institutionURL:null,country:{name:"United States of America"}}},{id:"342748",title:"Dr.",name:"John",middleName:null,surname:"Moisan",fullName:"John Moisan",slug:"john-moisan",email:"John.R.Moisan@nasa.gov",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:{name:"National Aeronautics and Space Administration",institutionURL:null,country:{name:"United States of America"}}}],sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. Phytoplankton and pigment properties",level:"1"},{id:"sec_2_2",title:"2.1 Optical properties",level:"2"},{id:"sec_2_3",title:"2.1.1 Absorption properties",level:"3"},{id:"sec_3_3",title:"2.1.2 Fluorescence",level:"3"},{id:"sec_5_2",title:"2.2 Pigment measurements",level:"2"},{id:"sec_7",title:"3. Ocean color remote sensing",level:"1"},{id:"sec_7_2",title:"3.1 Remote sensing of pigments",level:"2"},{id:"sec_7_3",title:"3.1.1 Empirical methods",level:"3"},{id:"sec_8_3",title:"3.1.2 Semi-analytical algorithms",level:"3"},{id:"sec_10_2",title:"3.2 Application of remote sensed pigments",level:"2"},{id:"sec_12",title:"4. Challenges and opportunities",level:"1"},{id:"sec_12_2",title:"4.1 Uncertainties in satellite remote sensing data",level:"2"},{id:"sec_13_2",title:"4.2 More accurate in situ measurements",level:"2"},{id:"sec_14_2",title:"4.3 Active remote sensing: LIDAR",level:"2"},{id:"sec_16",title:"Acknowledgments",level:"1"}],chapterReferences:[{id:"B1",body:'Nelson, D. M., & Smith Jr, W. O. (1986). Phytoplankton bloom dynamics of the western Ross Sea ice edge—II. Mesoscale cycling of nitrogen and silicon. Deep Sea Research Part A. Oceanographic Research Papers, 33(10), 1389-1412'},{id:"B2",body:'Tréguer, P., & Jacques, G. (1992). Review Dynamics of nutrients and phytoplankton, and fluxes of carbon, nitrogen and silicon in the Antarctic Ocean. In Weddell Sea Ecology (pp. 149-162). Springer, Berlin, Heidelberg'},{id:"B3",body:'Van Bennekom, A. J., Berger, G. W., Van der Gaast, S. J., & De Vries, R. T. P. (1988). Primary productivity and the silica cycle in the Southern Ocean (Atlantic sector). 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Springer, Berlin, Heidelberg'},{id:"B101",body:'Roy, S., Alam, S., & Chattopadhyay, J. (2006). Competing effects of toxin-producing phytoplankton on overall plankton populations in the Bay of Bengal. Bulletin of Mathematical Biology, 68(8), 2303-2320'},{id:"B102",body:'Barlow, R. G., Aiken, J., Holligan, P. M., Cummings, D. G., Maritorena, S., & Hooker, S. (2002). Phytoplankton pigment and absorption characteristics along meridional transects in the Atlantic Ocean. Deep Sea Research Part I: Oceanographic Research Papers, 49(4), 637-660'},{id:"B103",body:'Gibb, S. W., Barlow, R. G., Cummings, D. G., Rees, N. W., Trees, C. C., Holligan, P., & Suggett, D. (2000). Surface phytoplankton pigment distributions in the Atlantic Ocean: an assessment of basin scale variability between 50 N and 50 S. Progress in Oceanography, 45(3-4), 339-368'},{id:"B104",body:'Moreno, D. V., Marrero, J. P., Morales, J., García, C. L., Úbeda, M. V., Rueda, M. J., & Llinás, O. (2012). Phytoplankton functional community structure in Argentinian continental shelf determined by HPLC pigment signatures. Estuarine, Coastal and Shelf Science, 100, 72-81'},{id:"B105",body:'Vijayan, A. K., Yoshikawa, T., Watanabe, S., Sasaki, H., Matsumoto, K., Saito, S. I., ... & Furuya, K. (2009). Influence of non-photosynthetic pigments on light absorption and quantum yield of photosynthesis in the western equatorial Pacific and the subarctic North Pacific. Journal of oceanography, 65(2), 245-258'},{id:"B106",body:'IOCCG (2019). Uncertainties in Ocean Colour Remote Sensing. Mélin F. (ed.), IOCCG Report Series, No. 18, International Ocean Colour Coordinating Group, Dartmouth, Canada. http://dx.doi.org/10.25607/OBP696'},{id:"B107",body:'Werdell, P. J., Behrenfeld, M. J., Bontempi, P. S., Boss, E., Cairns, B., Davis, G. T., & Knobelspiesse, K. D. (2019). The Plankton, Aerosol, Cloud, ocean Ecosystem mission: status, science, advances. Bulletin of the American Meteorological Society, 100(9), 1775-1794'},{id:"B108",body:'Behrenfeld, M. J., Hu, Y., O’Malley, R. T., Boss, E. S., Hostetler, C. A., Siegel, D. A., ... & Rodier, S. (2017). Annual boom–bust cycles of polar phytoplankton biomass revealed by space-based lidar. Nature Geoscience, 10(2), 118-122'},{id:"B109",body:'Hooker, S. B., & McClain, C. R. (2000). The calibration and validation of SeaWiFS data. Progress in Oceanography, 45(3-4), 427-465'},{id:"B110",body:'Nair, A., Sathyendranath, S., Platt, T., Morales, J., Stuart, V., Forget, M. H., ... & Bouman, H. (2008). Remote sensing of phytoplankton functional types. Remote Sensing of Environment, 112(8), 3366-3375'},{id:"B111",body:'Hallegraeff, G. M. (2010). Ocean climate change, phytoplankton community responses, and harmful algal blooms: a formidable predictive challenge 1. Journal of phycology, 46(2), 220-235'},{id:"B112",body:'Hostetler, C. A., Behrenfeld, M. J., Hu, Y., Hair, J. W., & Schulien, J. A. (2018). Spaceborne lidar in the study of marine systems. Annual review of marine science, 10, 121-147'},{id:"B113",body:'Churnside, J. H., & Shaw, J. A. (2020). Lidar remote sensing of the aquatic environment. Applied Optics, 59(10), C92-C99'},{id:"B114",body:'Moore, T. S., Churnside, J. H., Sullivan, J. M., Twardowski, M. S., Nayak, A. R., McFarland, M. N., ... & Ruberg, S. A. (2019). Vertical distributions of blooming cyanobacteria populations in a freshwater lake from LIDAR observations. Remote Sensing of Environment, 225, 347-367'}],footnotes:[],contributors:[{corresp:"yes",contributorFullName:"Guoqing Wang",address:"guoqing.wang@ssaihq.com",affiliation:'
NASA Goddard Space Flight Center, Wallops Flight Facility, USA
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The company was founded in Vienna in 2004 by Alex Lazinica and Vedran Kordic, two PhD students researching robotics. While completing our PhDs, we found it difficult to access the research we needed. So, we decided to create a new Open Access publisher. A better one, where researchers like us could find the information they needed easily. The result is IntechOpen, an Open Access publisher that puts the academic needs of the researchers before the business interests of publishers.
",metaTitle:"Our story",metaDescription:"The company was founded in Vienna in 2004 by Alex Lazinica and Vedran Kordic, two PhD students researching robotics. While completing our PhDs, we found it difficult to access the research we needed. So, we decided to create a new Open Access publisher. A better one, where researchers like us could find the information they needed easily. The result is IntechOpen, an Open Access publisher that puts the academic needs of the researchers before the business interests of publishers.",metaKeywords:null,canonicalURL:"/page/our-story",contentRaw:'[{"type":"htmlEditorComponent","content":"
We started by publishing journals and books from the fields of science we were most familiar with - AI, robotics, manufacturing and operations research. Through our growing network of institutions and authors, we soon expanded into related fields like environmental engineering, nanotechnology, computer science, renewable energy and electrical engineering, Today, we are the world’s largest Open Access publisher of scientific research, with over 4,200 books and 54,000 scientific works including peer-reviewed content from more than 116,000 scientists spanning 161 countries. Our authors range from globally-renowned Nobel Prize winners to up-and-coming researchers at the cutting edge of scientific discovery.
\\n\\n
In the same year that IntechOpen was founded, we launched what was at the time the first ever Open Access, peer-reviewed journal in its field: the International Journal of Advanced Robotic Systems (IJARS).
\\n\\n
The IntechOpen timeline
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2004
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Intech Open is founded in Vienna, Austria, by Alex Lazinica and Vedran Kordic, two PhD students, and their first Open Access journals and books are published.
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Alex and Vedran launch the first Open Access, peer-reviewed robotics journal and IntechOpen’s flagship publication, the International Journal of Advanced Robotic Systems (IJARS).
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2005
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IntechOpen publishes its first Open Access book: Cutting Edge Robotics.
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2006
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IntechOpen publishes a special issue of IJARS, featuring contributions from NASA scientists regarding the Mars Exploration Rover missions.
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2008
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Downloads milestone: 200,000 downloads reached
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2009
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Publishing milestone: the first 100 Open Access STM books are published
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2010
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Downloads milestone: one million downloads reached
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IntechOpen expands its book publishing into a new field: medicine.
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2011
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Publishing milestone: More than five million downloads reached
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IntechOpen publishes 1996 Nobel Prize in Chemistry winner Harold W. Kroto’s “Strategies to Successfully Cross-Link Carbon Nanotubes”. Find it here.
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IntechOpen and TBI collaborate on a project to explore the changing needs of researchers and the evolving ways that they discover, publish and exchange information. The result is the survey “Author Attitudes Towards Open Access Publishing: A Market Research Program”.
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IntechOpen hosts SHOW - Share Open Access Worldwide; a series of lectures, debates, round-tables and events to bring people together in discussion of open source principles, intellectual property, content licensing innovations, remixed and shared culture and free knowledge.
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2012
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Publishing milestone: 10 million downloads reached
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IntechOpen holds Interact2012, a free series of workshops held by figureheads of the scientific community including Professor Hiroshi Ishiguro, director of the Intelligent Robotics Laboratory, who took the audience through some of the most impressive human-robot interactions observed in his lab.
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2013
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IntechOpen joins the Committee on Publication Ethics (COPE) as part of a commitment to guaranteeing the highest standards of publishing.
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2014
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IntechOpen turns 10, with more than 30 million downloads to date.
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IntechOpen appoints its first Regional Representatives - members of the team situated around the world dedicated to increasing the visibility of our authors’ published work within their local scientific communities.
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2015
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Downloads milestone: More than 70 million downloads reached, more than doubling since the previous year.
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Publishing milestone: IntechOpen publishes its 2,500th book and 40,000th Open Access chapter, reaching 20,000 citations in Thomson Reuters ISI Web of Science.
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40 IntechOpen authors are included in the top one per cent of the world’s most-cited researchers.
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Thomson Reuters’ ISI Web of Science Book Citation Index begins indexing IntechOpen’s books in its database.
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2016
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IntechOpen is identified as a world leader in Simba Information’s Open Access Book Publishing 2016-2020 report and forecast. IntechOpen came in as the world’s largest Open Access book publisher by title count.
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2017
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Downloads milestone: IntechOpen reaches more than 100 million downloads
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Publishing milestone: IntechOpen publishes its 3,000th Open Access book, making it the largest Open Access book collection in the world
We started by publishing journals and books from the fields of science we were most familiar with - AI, robotics, manufacturing and operations research. Through our growing network of institutions and authors, we soon expanded into related fields like environmental engineering, nanotechnology, computer science, renewable energy and electrical engineering, Today, we are the world’s largest Open Access publisher of scientific research, with over 4,200 books and 54,000 scientific works including peer-reviewed content from more than 116,000 scientists spanning 161 countries. Our authors range from globally-renowned Nobel Prize winners to up-and-coming researchers at the cutting edge of scientific discovery.
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In the same year that IntechOpen was founded, we launched what was at the time the first ever Open Access, peer-reviewed journal in its field: the International Journal of Advanced Robotic Systems (IJARS).
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The IntechOpen timeline
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2004
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Intech Open is founded in Vienna, Austria, by Alex Lazinica and Vedran Kordic, two PhD students, and their first Open Access journals and books are published.
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Alex and Vedran launch the first Open Access, peer-reviewed robotics journal and IntechOpen’s flagship publication, the International Journal of Advanced Robotic Systems (IJARS).
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2005
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IntechOpen publishes its first Open Access book: Cutting Edge Robotics.
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2006
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IntechOpen publishes a special issue of IJARS, featuring contributions from NASA scientists regarding the Mars Exploration Rover missions.
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2008
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Downloads milestone: 200,000 downloads reached
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2009
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Publishing milestone: the first 100 Open Access STM books are published
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2010
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Downloads milestone: one million downloads reached
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IntechOpen expands its book publishing into a new field: medicine.
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2011
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Publishing milestone: More than five million downloads reached
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IntechOpen publishes 1996 Nobel Prize in Chemistry winner Harold W. Kroto’s “Strategies to Successfully Cross-Link Carbon Nanotubes”. Find it here.
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IntechOpen and TBI collaborate on a project to explore the changing needs of researchers and the evolving ways that they discover, publish and exchange information. The result is the survey “Author Attitudes Towards Open Access Publishing: A Market Research Program”.
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IntechOpen hosts SHOW - Share Open Access Worldwide; a series of lectures, debates, round-tables and events to bring people together in discussion of open source principles, intellectual property, content licensing innovations, remixed and shared culture and free knowledge.
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2012
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Publishing milestone: 10 million downloads reached
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IntechOpen holds Interact2012, a free series of workshops held by figureheads of the scientific community including Professor Hiroshi Ishiguro, director of the Intelligent Robotics Laboratory, who took the audience through some of the most impressive human-robot interactions observed in his lab.
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2013
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IntechOpen joins the Committee on Publication Ethics (COPE) as part of a commitment to guaranteeing the highest standards of publishing.
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2014
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IntechOpen turns 10, with more than 30 million downloads to date.
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IntechOpen appoints its first Regional Representatives - members of the team situated around the world dedicated to increasing the visibility of our authors’ published work within their local scientific communities.
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2015
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Downloads milestone: More than 70 million downloads reached, more than doubling since the previous year.
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Publishing milestone: IntechOpen publishes its 2,500th book and 40,000th Open Access chapter, reaching 20,000 citations in Thomson Reuters ISI Web of Science.
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40 IntechOpen authors are included in the top one per cent of the world’s most-cited researchers.
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Thomson Reuters’ ISI Web of Science Book Citation Index begins indexing IntechOpen’s books in its database.
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2016
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IntechOpen is identified as a world leader in Simba Information’s Open Access Book Publishing 2016-2020 report and forecast. IntechOpen came in as the world’s largest Open Access book publisher by title count.
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2017
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Downloads milestone: IntechOpen reaches more than 100 million downloads
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Publishing milestone: IntechOpen publishes its 3,000th Open Access book, making it the largest Open Access book collection in the world
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She is also a frequent referee for various journals.",institutionString:null,institution:{name:"University of Évora",country:{name:"Portugal"}}},{id:"283019",title:"Dr.",name:"Oudessa",middleName:null,surname:"Kerro Dego",slug:"oudessa-kerro-dego",fullName:"Oudessa Kerro Dego",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/283019/images/system/283019.png",biography:"Dr. Kerro Dego is a veterinary microbiologist with training in veterinary medicine, microbiology, and anatomic pathology. Dr. Kerro Dego is an assistant professor of dairy health in the department of animal science, the University of Tennessee, Institute of Agriculture, Knoxville, Tennessee. He received his D.V.M. (1997), M.S. (2002), and Ph.D. (2008) degrees in Veterinary Medicine, Animal Pathology and Veterinary Microbiology from College of Veterinary Medicine, Addis Ababa University, Ethiopia; College of Veterinary Medicine, Utrecht University, the Netherlands and Western College of Veterinary Medicine, University of Saskatchewan, Canada respectively. He did his Postdoctoral training in microbial pathogenesis (2009 - 2015) in the Department of Animal Science, the University of Tennessee, Institute of Agriculture, Knoxville, Tennessee. Dr. Kerro Dego’s research focuses on the prevention and control of infectious diseases of farm animals, particularly mastitis, improving dairy food safety, and mitigation of antimicrobial resistance. Dr. Kerro Dego has extensive experience in studying the pathogenesis of bacterial infections, identification of virulence factors, and vaccine development and efficacy testing against major bacterial mastitis pathogens. Dr. Kerro Dego conducted numerous controlled experimental and field vaccine efficacy studies, vaccination, and evaluation of immunological responses in several species of animals, including rodents (mice) and large animals (bovine and ovine).",institutionString:"University of Tennessee at Knoxville",institution:{name:"University of Tennessee at Knoxville",country:{name:"United States of America"}}},{id:"251314",title:"Dr.",name:"Juan Carlos",middleName:null,surname:"Gardón",slug:"juan-carlos-gardon",fullName:"Juan Carlos Gardón",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/251314/images/system/251314.jpeg",biography:"Juan Carlos Gardón Poggi received University degree from the Faculty of Agrarian Science in Argentina, in 1983. Also he received Masters Degree and PhD from Córdoba University, Spain. He is currently a Professor at the Catholic University of Valencia San Vicente Mártir, at the Department of Medicine and Animal Surgery. He teaches diverse courses in the field of Animal Reproduction and he is the Director of the Veterinary Farm. He also participates in academic postgraduate activities at the Veterinary Faculty of Murcia University, Spain. His research areas include animal physiology, physiology and biotechnology of reproduction either in males or females, the study of gametes under in vitro conditions and the use of ultrasound as a complement to physiological studies and development of applied biotechnologies. Routinely, he supervises students preparing their doctoral, master thesis or final degree projects.",institutionString:"Catholic University of Valencia San Vicente Mártir, Spain",institution:null},{id:"125292",title:"Dr.",name:"Katy",middleName:null,surname:"Satué Ambrojo",slug:"katy-satue-ambrojo",fullName:"Katy Satué Ambrojo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/125292/images/system/125292.jpeg",biography:"Katy Satué Ambrojo received her Veterinary Medicine degree, Master degree in Equine Technology and doctorate in Veterinary Medicine from the Faculty of Veterinary, CEU-Cardenal Herrera University in Valencia, Spain. She is a Full Professor at the Department of Medicine and Animal Surgery at the same University. She developed her research activity in the field of Endocrinology, Hematology, Biochemistry and Immunology of horses. She is a scientific reviewer of several international journals : American Journal of Obstetrics and Gynecology, Comparative Clinical Pathology, Veterinary Clinical Pathology, Journal of Equine Veterinary Science, Reproduction in Domestic Animals, Research Veterinary Science, Brazilian Journal of Medical and Biological Research, Livestock Production Science and Theriogenology. Since 2014, she has been the Head of the Clinical Analysis Laboratory of the Hospital Clínico Veterinario from the Faculty of Veterinary, CEU-Cardenal Herrera University.",institutionString:"CEU-Cardenal Herrera University",institution:{name:"CEU Cardinal Herrera University",country:{name:"Spain"}}},{id:"309529",title:"Dr.",name:"Albert",middleName:null,surname:"Rizvanov",slug:"albert-rizvanov",fullName:"Albert Rizvanov",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/309529/images/9189_n.jpg",biography:'Albert A. Rizvanov is a Professor and Director of the Center for Precision and Regenerative Medicine at the Institute of Fundamental Medicine and Biology, Kazan Federal University (KFU), Russia. He is the Head of the Center of Excellence “Regenerative Medicine” and Vice-Director of Strategic Academic Unit \\"Translational 7P Medicine\\". Albert completed his Ph.D. at the University of Nevada, Reno, USA and Dr.Sci. at KFU. He is a corresponding member of the Tatarstan Academy of Sciences, Russian Federation. Albert is an author of more than 300 peer-reviewed journal articles and 22 patents. He has supervised 11 Ph.D. and 2 Dr.Sci. dissertations. Albert is the Head of the Dissertation Committee on Biochemistry, Microbiology, and Genetics at KFU.\nORCID https://orcid.org/0000-0002-9427-5739\nWebsite https://kpfu.ru/Albert.Rizvanov?p_lang=2',institutionString:"Kazan Federal University",institution:{name:"Kazan Federal University",country:{name:"Russia"}}},{id:"210551",title:"Dr.",name:"Arbab",middleName:null,surname:"Sikandar",slug:"arbab-sikandar",fullName:"Arbab Sikandar",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/210551/images/system/210551.jpg",biography:"Dr. Arbab Sikandar, PhD, M. Phil, DVM was born on April 05, 1981. He is currently working at the College of Veterinary & Animal Sciences as an Assistant Professor. He previously worked as a lecturer at the same University. \nHe is a Member/Secretory of Ethics committee (No. CVAS-9377 dated 18-04-18), Member of the QEC committee CVAS, Jhang (Regr/Gen/69/873, dated 26-10-2017), Member, Board of studies of Department of Basic Sciences (No. CVAS. 2851 Dated. 12-04-13, and No. CVAS, 9024 dated 20/11/17), Member of Academic Committee, CVAS, Jhang (No. CVAS/2004, Dated, 25-08-12), Member of the technical committee (No. CVAS/ 4085, dated 20,03, 2010 till 2016).\n\nDr. Arbab Sikandar contributed in five days hands-on-training on Histopathology at the Department of Pathology, UVAS from 12-16 June 2017. He received a Certificate of appreciation for contributions for Popularization of Science and Technology in the Society on 17-11-15. He was the resource person in the lecture series- ‘scientific writing’ at the Department of Anatomy and Histology, UVAS, Lahore on 29th October 2015. He won a full fellowship as a principal candidate for the year 2015 in the field of Agriculture, EICA, Egypt with ref. to the Notification No. 12(11) ACS/Egypt/2014 from 10 July 2015 to 25th September 2015.; he received a grant of Rs. 55000/- as research incentives from Director, Advanced Studies and Research, UVAS, Lahore upon publications of research papers in IF Journals (DR/215, dated 19-5-2014.. He obtained his PhD by winning a HEC Pakistan indigenous Scholarship, ‘Ph.D. fellowship for 5000 scholars – Phase II’ (2av1-147), 17-6/HEC/HRD/IS-II/12, November 15, 2012. \n\nDr. Sikandar is a member of numerous societies: Registered Veterinary Medical Practitioner (life member) and Registered Veterinary Medical Faculty of Pakistan Veterinary Medical Council. The Registration code of PVMC is RVMP/4298 and RVMF/ 0102.; Life member of the University of Veterinary and Animal Sciences, Lahore, Alumni Association with S# 664, dated: 6-4-12. ; Member 'Vets Care Organization Pakistan” with Reference No. VCO-605-149, dated 05-04-06. :Member 'Vet Crescent” (Society of Animal Health and Production), UVAS, Lahore.",institutionString:"University of Veterinary & Animal Science",institution:{name:"University of Veterinary and Animal Sciences",country:{name:"Pakistan"}}},{id:"311663",title:"Dr.",name:"Prasanna",middleName:null,surname:"Pal",slug:"prasanna-pal",fullName:"Prasanna Pal",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/311663/images/13261_n.jpg",biography:null,institutionString:null,institution:{name:"National Dairy Research Institute",country:{name:"India"}}},{id:"202192",title:"Dr.",name:"Catrin",middleName:null,surname:"Rutland",slug:"catrin-rutland",fullName:"Catrin Rutland",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/202192/images/system/202192.png",biography:"Catrin Rutland is an Associate Professor of Anatomy and Developmental Genetics at the University of Nottingham, UK. She obtained a BSc from the University of Derby, England, a master’s degree from Technische Universität München, Germany, and a Ph.D. from the University of Nottingham. She undertook a post-doctoral research fellowship in the School of Medicine before accepting tenure in Veterinary Medicine and Science. Dr. Rutland also obtained an MMedSci (Medical Education) and a Postgraduate Certificate in Higher Education (PGCHE). She is the author of more than sixty peer-reviewed journal articles, twelve books/book chapters, and more than 100 research abstracts in cardiovascular biology and oncology. She is a board member of the European Association of Veterinary Anatomists, Fellow of the Anatomical Society, and Senior Fellow of the Higher Education Academy. Dr. Rutland has also written popular science books for the public. https://orcid.org/0000-0002-2009-4898. www.nottingham.ac.uk/vet/people/catrin.rutland",institutionString:null,institution:{name:"University of Nottingham",country:{name:"United Kingdom"}}},{id:"283315",title:"Prof.",name:"Samir",middleName:null,surname:"El-Gendy",slug:"samir-el-gendy",fullName:"Samir El-Gendy",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRduYQAS/Profile_Picture_1606215849748",biography:"Samir El-Gendy is a Professor of anatomy and embryology at the faculty of veterinary medicine, Alexandria University, Egypt. Samir obtained his PhD in veterinary science in 2007 from the faculty of veterinary medicine, Alexandria University and has been a professor since 2017. Samir is an author on 24 articles at Scopus and 12 articles within local journals and 2 books/book chapters. His research focuses on applied anatomy, imaging techniques and computed tomography. Samir worked as a member of different local projects on E-learning and he is a board member of the African Association of Veterinary Anatomists and of anatomy societies and as an associated author at local and international journals. Orcid: https://orcid.org/0000-0002-6180-389X",institutionString:null,institution:{name:"Alexandria University",country:{name:"Egypt"}}},{id:"246149",title:"Dr.",name:"Valentina",middleName:null,surname:"Kubale",slug:"valentina-kubale",fullName:"Valentina Kubale",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/246149/images/system/246149.jpg",biography:"Valentina Kubale is Associate Professor of Veterinary Medicine at the Veterinary Faculty, University of Ljubljana, Slovenia. Since graduating from the Veterinary faculty she obtained her PhD in 2007, performed collaboration with the Department of Pharmacology, University of Copenhagen, Denmark. She continued as a post-doctoral fellow at the University of Copenhagen with a Lundbeck foundation fellowship. She is the editor of three books and author/coauthor of 23 articles in peer-reviewed scientific journals, 16 book chapters, and 68 communications at scientific congresses. Since 2008 she has been the Editor Assistant for the Slovenian Veterinary Research journal. She is a member of Slovenian Biochemical Society, The Endocrine Society, European Association of Veterinary Anatomists and Society for Laboratory Animals, where she is board member.",institutionString:"University of Ljubljana",institution:{name:"University of Ljubljana",country:{name:"Slovenia"}}},{id:"258334",title:"Dr.",name:"Carlos Eduardo",middleName:null,surname:"Fonseca-Alves",slug:"carlos-eduardo-fonseca-alves",fullName:"Carlos Eduardo Fonseca-Alves",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/258334/images/system/258334.jpg",biography:"Dr. Fonseca-Alves earned his DVM from Federal University of Goias – UFG in 2008. He completed an internship in small animal internal medicine at UPIS university in 2011, earned his MSc in 2013 and PhD in 2015 both in Veterinary Medicine at Sao Paulo State University – UNESP. Dr. Fonseca-Alves currently serves as an Assistant Professor at Paulista University – UNIP teaching small animal internal medicine.",institutionString:null,institution:{name:"Universidade Paulista",country:{name:"Brazil"}}},{id:"245306",title:"Dr.",name:"María Luz",middleName:null,surname:"Garcia Pardo",slug:"maria-luz-garcia-pardo",fullName:"María Luz Garcia Pardo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/245306/images/system/245306.png",biography:"María de la Luz García Pardo is an agricultural engineer from Universitat Politècnica de València, Spain. She has a Ph.D. in Animal Genetics. Currently, she is a lecturer at the Agrofood Technology Department of Miguel Hernández University, Spain. Her research is focused on genetics and reproduction in rabbits. The major goal of her research is the genetics of litter size through novel methods such as selection by the environmental sensibility of litter size, with forays into the field of animal welfare by analysing the impact on the susceptibility to diseases and stress of the does. Details of her publications can be found at https://orcid.org/0000-0001-9504-8290.",institutionString:null,institution:{name:"Miguel Hernandez University",country:{name:"Spain"}}},{id:"41319",title:"Prof.",name:"Lung-Kwang",middleName:null,surname:"Pan",slug:"lung-kwang-pan",fullName:"Lung-Kwang Pan",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/41319/images/84_n.jpg",biography:null,institutionString:null,institution:null},{id:"201721",title:"Dr.",name:"Beatrice",middleName:null,surname:"Funiciello",slug:"beatrice-funiciello",fullName:"Beatrice Funiciello",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/201721/images/11089_n.jpg",biography:"Graduated from the University of Milan in 2011, my post-graduate education included CertAVP modules mainly on equines (dermatology and internal medicine) and a few on small animal (dermatology and anaesthesia) at the University of Liverpool. After a general CertAVP (2015) I gained the designated Certificate in Veterinary Dermatology (2017) after taking the synoptic examination and then applied for the RCVS ADvanced Practitioner status. After that, I completed the Postgraduate Diploma in Veterinary Professional Studies at the University of Liverpool (2018). My main area of work is cross-species veterinary dermatology.",institutionString:null,institution:null},{id:"291226",title:"Dr.",name:"Monica",middleName:null,surname:"Cassel",slug:"monica-cassel",fullName:"Monica Cassel",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/291226/images/8232_n.jpg",biography:'Degree in Biological Sciences at the Federal University of Mato Grosso with scholarship for Scientific Initiation by FAPEMAT (2008/1) and CNPq (2008/2-2009/2): Project \\"Histological evidence of reproductive activity in lizards of the Manso region, Chapada dos Guimarães, Mato Grosso, Brazil\\". Master\\\'s degree in Ecology and Biodiversity Conservation at Federal University of Mato Grosso with a scholarship by CAPES/REUNI program: Project \\"Reproductive biology of Melanorivulus punctatus\\". PhD\\\'s degree in Science (Cell and Tissue Biology Area) \n at University of Sao Paulo with scholarship granted by FAPESP; Project \\"Development of morphofunctional changes in ovary of Astyanax altiparanae Garutti & Britski, 2000 (Teleostei, Characidae)\\". She has experience in Reproduction of vertebrates and Morphology, with emphasis in Cellular Biology and Histology. She is currently a teacher in the medium / technical level courses at IFMT-Alta Floresta, as well as in the Bachelor\\\'s degree in Animal Science and in the Bachelor\\\'s degree in Business.',institutionString:null,institution:null},{id:"442807",title:"Dr.",name:"Busani",middleName:null,surname:"Moyo",slug:"busani-moyo",fullName:"Busani Moyo",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Gwanda State University",country:{name:"Zimbabwe"}}},{id:"423023",title:"Dr.",name:"Yosra",middleName:null,surname:"Soltan",slug:"yosra-soltan",fullName:"Yosra Soltan",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Alexandria University",country:{name:"Egypt"}}},{id:"349788",title:"Dr.",name:"Florencia Nery",middleName:null,surname:"Sompie",slug:"florencia-nery-sompie",fullName:"Florencia Nery Sompie",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Sam Ratulangi University",country:{name:"Indonesia"}}},{id:"345713",title:"Dr.",name:"Csaba",middleName:null,surname:"Szabó",slug:"csaba-szabo",fullName:"Csaba Szabó",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Debrecen",country:{name:"Hungary"}}},{id:"345719",title:"Mrs.",name:"Márta",middleName:null,surname:"Horváth",slug:"marta-horvath",fullName:"Márta Horváth",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Debrecen",country:{name:"Hungary"}}},{id:"420151",title:"Prof.",name:"Novirman",middleName:null,surname:"Jamarun",slug:"novirman-jamarun",fullName:"Novirman Jamarun",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Andalas University",country:{name:"Indonesia"}}},{id:"420149",title:"Dr.",name:"Rusmana",middleName:"Wijaya Setia",surname:"Wijaya Setia Ningrat",slug:"rusmana-wijaya-setia-ningrat",fullName:"Rusmana Wijaya Setia Ningrat",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Andalas University",country:{name:"Indonesia"}}},{id:"339759",title:"Mr.",name:"Abu",middleName:null,surname:"Macavoray",slug:"abu-macavoray",fullName:"Abu Macavoray",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Njala University",country:{name:"Sierra Leone"}}},{id:"339758",title:"Prof.",name:"Benjamin",middleName:null,surname:"Emikpe",slug:"benjamin-emikpe",fullName:"Benjamin Emikpe",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Ibadan",country:{name:"Nigeria"}}},{id:"339760",title:"Mr.",name:"Moinina Nelphson",middleName:null,surname:"Kallon",slug:"moinina-nelphson-kallon",fullName:"Moinina Nelphson Kallon",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Njala University",country:{name:"Sierra Leone"}}}]}},subseries:{item:{id:"17",type:"subseries",title:"Metabolism",keywords:"Biomolecules Metabolism, Energy Metabolism, Metabolic Pathways, Key Metabolic Enzymes, Metabolic Adaptation",scope:"Metabolism is frequently defined in biochemistry textbooks as the overall process that allows living systems to acquire and use the free energy they need for their vital functions or the chemical processes that occur within a living organism to maintain life. Behind these definitions are hidden all the aspects of normal and pathological functioning of all processes that the topic ‘Metabolism’ will cover within the Biochemistry Series. Thus all studies on metabolism will be considered for publication.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/17.jpg",hasOnlineFirst:!0,hasPublishedBooks:!0,annualVolume:11413,editor:{id:"138626",title:"Dr.",name:"Yannis",middleName:null,surname:"Karamanos",slug:"yannis-karamanos",fullName:"Yannis Karamanos",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002g6Jv2QAE/Profile_Picture_1629356660984",biography:"Yannis Karamanos, born in Greece in 1953, completed his pre-graduate studies at the Université Pierre et Marie Curie, Paris, then his Masters and Doctoral degree at the Université de Lille (1983). He was associate professor at the University of Limoges (1987) before becoming full professor of biochemistry at the Université d’Artois (1996). He worked on the structure-function relationships of glycoconjugates and his main project was the investigations on the biological roles of the de-N-glycosylation enzymes (Endo-N-acetyl-β-D-glucosaminidase and peptide-N4-(N-acetyl-β-glucosaminyl) asparagine amidase). From 2002 he contributes to the understanding of the Blood-brain barrier functioning using proteomics approaches. He has published more than 70 papers. His teaching areas are energy metabolism and regulation, integration and organ specialization and metabolic adaptation.",institutionString:null,institution:{name:"Artois University",institutionURL:null,country:{name:"France"}}},editorTwo:null,editorThree:null,series:{id:"11",title:"Biochemistry",doi:"10.5772/intechopen.72877",issn:"2632-0983"},editorialBoard:[{id:"243049",title:"Dr.",name:"Anca",middleName:null,surname:"Pantea Stoian",slug:"anca-pantea-stoian",fullName:"Anca Pantea Stoian",profilePictureURL:"https://mts.intechopen.com/storage/users/243049/images/system/243049.jpg",institutionString:null,institution:{name:"Carol Davila University of Medicine and Pharmacy",institutionURL:null,country:{name:"Romania"}}},{id:"203824",title:"Dr.",name:"Attilio",middleName:null,surname:"Rigotti",slug:"attilio-rigotti",fullName:"Attilio Rigotti",profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institutionString:null,institution:{name:"Pontifical Catholic University of Chile",institutionURL:null,country:{name:"Chile"}}},{id:"300470",title:"Dr.",name:"Yanfei (Jacob)",middleName:null,surname:"Qi",slug:"yanfei-(jacob)-qi",fullName:"Yanfei (Jacob) Qi",profilePictureURL:"https://mts.intechopen.com/storage/users/300470/images/system/300470.jpg",institutionString:null,institution:{name:"Centenary Institute of Cancer Medicine and Cell Biology",institutionURL:null,country:{name:"Australia"}}}]},onlineFirstChapters:{paginationCount:0,paginationItems:[]},publishedBooks:{paginationCount:1,paginationItems:[{type:"book",id:"10654",title:"Brain-Computer Interface",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/10654.jpg",slug:"brain-computer-interface",publishedDate:"May 18th 2022",editedByType:"Edited by",bookSignature:"Vahid Asadpour",hash:"a5308884068cc53ed31c6baba756857f",volumeInSeries:9,fullTitle:"Brain-Computer Interface",editors:[{id:"165328",title:"Dr.",name:"Vahid",middleName:null,surname:"Asadpour",slug:"vahid-asadpour",fullName:"Vahid Asadpour",profilePictureURL:"https://mts.intechopen.com/storage/users/165328/images/system/165328.jpg",institutionString:"Kaiser Permanente Southern California",institution:null}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null}]},testimonialsList:[{id:"27",text:"The opportunity to work with a prestigious publisher allows for the possibility to collaborate with more research groups interested in animal nutrition, leading to the development of new feeding strategies and food valuation while being more sustainable with the environment, allowing more readers to learn about the subject.",author:{id:"175967",name:"Manuel",surname:"Gonzalez Ronquillo",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/175967/images/system/175967.png",slug:"manuel-gonzalez-ronquillo",institution:{id:"6221",name:"Universidad Autónoma del Estado de México",country:{id:null,name:"Mexico"}}}},{id:"8",text:"I work with IntechOpen for a number of reasons: their professionalism, their mission in support of Open Access publishing, and the quality of their peer-reviewed publications, but also because they believe in equality.",author:{id:"202192",name:"Catrin",surname:"Rutland",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/202192/images/system/202192.png",slug:"catrin-rutland",institution:{id:"134",name:"University of Nottingham",country:{id:null,name:"United Kingdom"}}}},{id:"18",text:"It was great publishing with IntechOpen, the process was straightforward and I had support all along.",author:{id:"71579",name:"Berend",surname:"Olivier",institutionString:"Utrecht University",profilePictureURL:"https://mts.intechopen.com/storage/users/71579/images/system/71579.png",slug:"berend-olivier",institution:{id:"253",name:"Utrecht University",country:{id:null,name:"Netherlands"}}}}]},submityourwork:{pteSeriesList:[],lsSeriesList:[],hsSeriesList:[],sshSeriesList:[],subseriesList:[],annualVolumeBook:{},thematicCollection:[],selectedSeries:null,selectedSubseries:null},seriesLanding:{item:null},libraryRecommendation:{success:null,errors:{},institutions:[]},route:{name:"profile.detail",path:"/profiles/48861",hash:"",query:{},params:{id:"48861"},fullPath:"/profiles/48861",meta:{},from:{name:null,path:"/",hash:"",query:{},params:{},fullPath:"/",meta:{}}}},function(){var e;(e=document.currentScript||document.scripts[document.scripts.length-1]).parentNode.removeChild(e)}()