FTIR spectrum of Na alginate from
\\n\\n
IntechOpen was founded by scientists, for scientists, in order to make book publishing accessible around the globe. Over the last two decades, this has driven Open Access (OA) book publishing whilst levelling the playing field for global academics. Through our innovative publishing model and the support of the research community, we have now published over 5,700 Open Access books and are visited online by over three million academics every month. These researchers are increasingly working in broad technology-based subjects, driving multidisciplinary academic endeavours into human health, environment, and technology.
\\n\\nBy listening to our community, and in order to serve these rapidly growing areas which lie at the core of IntechOpen's expertise, we are launching a portfolio of Open Science journals:
\\n\\nAll three journals will publish under an Open Access model and embrace Open Science policies to help support the changing needs of academics in these fast-moving research areas. There will be direct links to preprint servers and data repositories, allowing full reproducibility and rapid dissemination of published papers to help accelerate the pace of research. Each journal has renowned Editors in Chief who will work alongside a global Editorial Board, delivering robust single-blind peer review. Supported by our internal editorial teams, this will ensure our authors will receive a quick, user-friendly, and personalised publishing experience.
\\n\\n"By launching our journals portfolio we are introducing new, dedicated homes for interdisciplinary technology-focused researchers to publish their work, whilst embracing Open Science and creating a unique global home for academics to disseminate their work. We are taking a leap toward Open Science continuing and expanding our fundamental commitment to openly sharing scientific research across the world, making it available for the benefit of all." Dr. Sara Uhac, IntechOpen CEO
\\n\\n"Our aim is to promote and create better science for a better world by increasing access to information and the latest scientific developments to all scientists, innovators, entrepreneurs and students and give them the opportunity to learn, observe and contribute to knowledge creation. Open Science promotes a swifter path from research to innovation to produce new products and services." Alex Lazinica, IntechOpen founder
\\n\\nIn conclusion, Natalia Reinic Babic, Head of Journal Publishing and Open Science at IntechOpen adds:
\\n\\n“On behalf of the journal team I’d like to thank all our Editors in Chief, Editorial Boards, internal supporting teams, and our scientific community for their continuous support in making this portfolio a reality - we couldn’t have done it without you! With your support in place, we are confident these journals will become as impactful and successful as our book publishing program and bring us closer to a more open (science) future.”
\\n\\nWe invite you to visit the journals homepage and learn more about the journal’s Editorial Boards, scope and vision as all three journals are now open for submissions.
\\n\\nFeel free to share this news on social media and help us mark this memorable moment!
\\n\\n\\n"}]',published:!0,mainMedia:{caption:"",originalUrl:"/media/original/237"}},components:[{type:"htmlEditorComponent",content:'
After years of being acknowledged as the world's leading publisher of Open Access books, today, we are proud to announce we’ve successfully launched a portfolio of Open Science journals covering rapidly expanding areas of interdisciplinary research.
\n\n\n\nIntechOpen was founded by scientists, for scientists, in order to make book publishing accessible around the globe. Over the last two decades, this has driven Open Access (OA) book publishing whilst levelling the playing field for global academics. Through our innovative publishing model and the support of the research community, we have now published over 5,700 Open Access books and are visited online by over three million academics every month. These researchers are increasingly working in broad technology-based subjects, driving multidisciplinary academic endeavours into human health, environment, and technology.
\n\nBy listening to our community, and in order to serve these rapidly growing areas which lie at the core of IntechOpen's expertise, we are launching a portfolio of Open Science journals:
\n\nAll three journals will publish under an Open Access model and embrace Open Science policies to help support the changing needs of academics in these fast-moving research areas. There will be direct links to preprint servers and data repositories, allowing full reproducibility and rapid dissemination of published papers to help accelerate the pace of research. Each journal has renowned Editors in Chief who will work alongside a global Editorial Board, delivering robust single-blind peer review. Supported by our internal editorial teams, this will ensure our authors will receive a quick, user-friendly, and personalised publishing experience.
\n\n"By launching our journals portfolio we are introducing new, dedicated homes for interdisciplinary technology-focused researchers to publish their work, whilst embracing Open Science and creating a unique global home for academics to disseminate their work. We are taking a leap toward Open Science continuing and expanding our fundamental commitment to openly sharing scientific research across the world, making it available for the benefit of all." Dr. Sara Uhac, IntechOpen CEO
\n\n"Our aim is to promote and create better science for a better world by increasing access to information and the latest scientific developments to all scientists, innovators, entrepreneurs and students and give them the opportunity to learn, observe and contribute to knowledge creation. Open Science promotes a swifter path from research to innovation to produce new products and services." Alex Lazinica, IntechOpen founder
\n\nIn conclusion, Natalia Reinic Babic, Head of Journal Publishing and Open Science at IntechOpen adds:
\n\n“On behalf of the journal team I’d like to thank all our Editors in Chief, Editorial Boards, internal supporting teams, and our scientific community for their continuous support in making this portfolio a reality - we couldn’t have done it without you! With your support in place, we are confident these journals will become as impactful and successful as our book publishing program and bring us closer to a more open (science) future.”
\n\nWe invite you to visit the journals homepage and learn more about the journal’s Editorial Boards, scope and vision as all three journals are now open for submissions.
\n\nFeel free to share this news on social media and help us mark this memorable moment!
\n\n\n'}],latestNews:[{slug:"webinar-introduction-to-open-science-wednesday-18-may-1-pm-cest-20220518",title:"Webinar: Introduction to Open Science | Wednesday 18 May, 1 PM CEST"},{slug:"step-in-the-right-direction-intechopen-launches-a-portfolio-of-open-science-journals-20220414",title:"Step in the Right Direction: IntechOpen Launches a Portfolio of Open Science Journals"},{slug:"let-s-meet-at-london-book-fair-5-7-april-2022-olympia-london-20220321",title:"Let’s meet at London Book Fair, 5-7 April 2022, Olympia London"},{slug:"50-books-published-as-part-of-intechopen-and-knowledge-unlatched-ku-collaboration-20220316",title:"50 Books published as part of IntechOpen and Knowledge Unlatched (KU) Collaboration"},{slug:"intechopen-joins-the-united-nations-sustainable-development-goals-publishers-compact-20221702",title:"IntechOpen joins the United Nations Sustainable Development Goals Publishers Compact"},{slug:"intechopen-signs-exclusive-representation-agreement-with-lsr-libros-servicios-y-representaciones-s-a-de-c-v-20211123",title:"IntechOpen Signs Exclusive Representation Agreement with LSR Libros Servicios y Representaciones S.A. de C.V"},{slug:"intechopen-expands-partnership-with-research4life-20211110",title:"IntechOpen Expands Partnership with Research4Life"},{slug:"introducing-intechopen-book-series-a-new-publishing-format-for-oa-books-20210915",title:"Introducing IntechOpen Book Series - A New Publishing Format for OA Books"}]},book:{item:{type:"book",id:"277",leadTitle:null,fullTitle:"Principles in Contemporary Orthodontics",title:"Principles in Contemporary Orthodontics",subtitle:null,reviewType:"peer-reviewed",abstract:"Orthodontics is a fast developing science as well as the field of medicine in general. The attempt of this book is to propose new possibilities and new ways of thinking about Orthodontics beside the ones presented in established and outstanding publications available elsewhere.\nSome of the presented chapters transmit basic information, other clinical experiences and further offer even a window to the future. In the hands of the reader this book could provide an useful tool for the exploration of the application of information, knowledge and belief to some orthodontic topics and questions.",isbn:null,printIsbn:"978-953-307-687-4",pdfIsbn:"978-953-51-6588-0",doi:"10.5772/692",price:159,priceEur:175,priceUsd:205,slug:"principles-in-contemporary-orthodontics",numberOfPages:598,isOpenForSubmission:!1,isInWos:1,isInBkci:!1,hash:"7834d7aad4ab1a74a9b6f417a70b6a73",bookSignature:"Silvano Naretto",publishedDate:"November 25th 2011",coverURL:"https://cdn.intechopen.com/books/images_new/277.jpg",numberOfDownloads:217952,numberOfWosCitations:41,numberOfCrossrefCitations:25,numberOfCrossrefCitationsByBook:1,numberOfDimensionsCitations:56,numberOfDimensionsCitationsByBook:2,hasAltmetrics:1,numberOfTotalCitations:122,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"November 3rd 2010",dateEndSecondStepPublish:"December 1st 2010",dateEndThirdStepPublish:"April 7th 2011",dateEndFourthStepPublish:"May 7th 2011",dateEndFifthStepPublish:"July 6th 2011",currentStepOfPublishingProcess:5,indexedIn:"1,2,3,4,5,6",editedByType:"Edited by",kuFlag:!1,featuredMarkup:null,editors:[{id:"34467",title:"Dr.",name:"Silvano",middleName:null,surname:"Naretto",slug:"silvano-naretto",fullName:"Silvano Naretto",profilePictureURL:"https://mts.intechopen.com/storage/users/34467/images/1898_n.jpg",biography:"Dr. Silvano Naretto is Director of the Postgraduate Course in Interceptive Orthodontic at the Department of Interdisciplinary Dentistry, Danube University Krems, Austria since 2003. He received his degree as Doctor in Medicine and Surgery from the University of Torino, Italy. His postgraduate studies in Orthodontics were done at the University of Milano, Italy and the University of Conneticut, USA. He also did postgraduate studies in oral surgery at the University of Torino. Finally, he received a Master of Science Degree from the Danube University for his postgraduate studies in „Function and Dysfunction of the Masticatory Organ“. Dr. Naretto lectures extensively in Italy, U.S.A., Japan, Portugal and Canada and serves as a scientific translator and reviewer of books in dentistry. Member of different orthodontic societies, fellow of Orofacial Pain Society and Past President of iAAID he is also part of the editorial board of IJSOM.",institutionString:null,position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"0",totalChapterViews:"0",totalEditedBooks:"1",institution:null}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"999",title:"Orthodontics and Dentofacial Orthopedics",slug:"orthodontics-and-dentofacial-orthopedics"}],chapters:[{id:"24342",title:"Self-Ligating Brackets: An Overview",doi:"10.5772/20285",slug:"self-ligating-brackets-an-overview",totalDownloads:23347,totalCrossrefCites:0,totalDimensionsCites:1,hasAltmetrics:0,abstract:null,signatures:"Maen Zreaqat and Rozita Hassan",downloadPdfUrl:"/chapter/pdf-download/24342",previewPdfUrl:"/chapter/pdf-preview/24342",authors:[{id:"38245",title:"Dr.",name:"Maen",surname:"Zreaqat",slug:"maen-zreaqat",fullName:"Maen Zreaqat"},{id:"52438",title:"Dr.",name:"Rozita",surname:"Hassan",slug:"rozita-hassan",fullName:"Rozita Hassan"}],corrections:null},{id:"24343",title:"Considerations in Orthodontic Bracket Adhesion to Hypomineralized Enamel",doi:"10.5772/22252",slug:"considerations-in-orthodontic-bracket-adhesion-to-hypomineralized-enamel",totalDownloads:6406,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:null,signatures:"Shabtai Sapir",downloadPdfUrl:"/chapter/pdf-download/24343",previewPdfUrl:"/chapter/pdf-preview/24343",authors:[{id:"46948",title:"Dr.",name:"Shabtai",surname:"Sapir",slug:"shabtai-sapir",fullName:"Shabtai Sapir"}],corrections:null},{id:"24344",title:"External Apical Root Resorption in Patients Treated with Passive Self-Ligating System",doi:"10.5772/19888",slug:"external-apical-root-resorption-in-patients-treated-with-passive-self-ligating-system",totalDownloads:3136,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:null,signatures:"Masaru Yamaguchi and Yasuhiro Tanimoto",downloadPdfUrl:"/chapter/pdf-download/24344",previewPdfUrl:"/chapter/pdf-preview/24344",authors:[{id:"36665",title:"Prof.",name:"Masaru",surname:"Yamaguchi",slug:"masaru-yamaguchi",fullName:"Masaru Yamaguchi"},{id:"51968",title:"Prof.",name:"Yasuhiro",surname:"Tanimoto",slug:"yasuhiro-tanimoto",fullName:"Yasuhiro Tanimoto"}],corrections:null},{id:"24345",title:"Treatment of Class II Deep Overbite with Multiloop Edgewise Arch-Wire (MEAW) Therapy",doi:"10.5772/23890",slug:"treatment-of-class-ii-deep-overbite-with-multiloop-edgewise-arch-wire-meaw-therapy",totalDownloads:12764,totalCrossrefCites:1,totalDimensionsCites:1,hasAltmetrics:0,abstract:null,signatures:"Paulo Beltrão",downloadPdfUrl:"/chapter/pdf-download/24345",previewPdfUrl:"/chapter/pdf-preview/24345",authors:[{id:"54307",title:"Dr.",name:"Paulo",surname:"Beltrão",slug:"paulo-beltrao",fullName:"Paulo Beltrão"}],corrections:null},{id:"24346",title:"Sagittal Skeletal and Occlusal Changes of Class II, Division 1 Postadolescent Cases in the Herbst and Activator Therapy",doi:"10.5772/19996",slug:"sagittal-skeletal-and-occlusal-changes-of-class-ii-division-1-postadolescent-cases-in-the-herbst-and",totalDownloads:5806,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:null,signatures:"Nenad Nedeljkovic",downloadPdfUrl:"/chapter/pdf-download/24346",previewPdfUrl:"/chapter/pdf-preview/24346",authors:[{id:"37098",title:"Dr.",name:"Nenad",surname:"Nedeljkovic",slug:"nenad-nedeljkovic",fullName:"Nenad Nedeljkovic"}],corrections:null},{id:"24347",title:"Sterilization and Disinfection in Orthodontics",doi:"10.5772/20901",slug:"sterilization-and-disinfection-in-orthodontics",totalDownloads:8468,totalCrossrefCites:3,totalDimensionsCites:5,hasAltmetrics:0,abstract:null,signatures:"Alev Aksoy, Gulcın Kılıç, Emad Hussein and Darleen Aboukhalil",downloadPdfUrl:"/chapter/pdf-download/24347",previewPdfUrl:"/chapter/pdf-preview/24347",authors:[{id:"40951",title:"Dr.",name:"Alev",surname:"Aksoy",slug:"alev-aksoy",fullName:"Alev Aksoy"},{id:"90592",title:"Dr.",name:"Emad",surname:"Hussein",slug:"emad-hussein",fullName:"Emad Hussein"},{id:"90593",title:"Dr.",name:"Gulcin",surname:"Kılıc",slug:"gulcin-kilic",fullName:"Gulcin Kılıc"},{id:"90596",title:"Dr.",name:"Darleen",surname:"Aboukhalil",slug:"darleen-aboukhalil",fullName:"Darleen Aboukhalil"}],corrections:null},{id:"24348",title:"Laser in Orthodontics",doi:"10.5772/20204",slug:"laser-in-orthodontics",totalDownloads:6829,totalCrossrefCites:1,totalDimensionsCites:7,hasAltmetrics:0,abstract:null,signatures:"Fekrazad Reza, Kalhori A.M. 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Diabetes mellitus (DM) is a disease caused by hyperglycemia due to a relative or absolute insulin insufficiency. Chronic hyperglycemia can cause complications such as neuropathy, retinopathy, nephropathy, and cardiovascular disease [1]. Hyperglycemia can also cause impaired balance metabolism of carbohydrates, fats, and proteins [2]. International Diabetes Federation (IDF) estimates that in 2013 there were 382 × 106 people with diabetes and 316 × 106 people suffer from impaired glucose tolerance and increased risk of diabetes. These results are expected to increase to 471 × 106 in 2035 and predicted less than 25 years; there would be 592 × 106 people have diabetes without quick and precise prevention [3].
\nSeaweeds are the most abundant resources in the ocean. Seaweeds contain polysaccharides, proteins, amino acids, lipids, peptides, minerals, and some vitamins. Polyphenols of seaweed was used as cosmetics and pharmacological as antioxidants, protection from radiation, antibiotics, anti-inflammatory, hypoallergenic, antibacterial, and antidiabetic [4]. Polyphenol extracts from seaweed, for example,
Na alginate from
FTIR spectroscopy was used to identify the polysaccharide structures. A pellet of sodium alginate was prepared with KBr. FTIR spectrum was recorded on Shimadzu-FTIR Prestige 21 with a resolution of 4 cm−1 in the 4000–400 cm−1 region, with a scan speed of 0.20 cm s−1. The FTIR spectrum of sodium Na alginate of
Infrared spectra of Na alginate standard (red) and Na alginate of
Wave number (cm−1) | \nAssignments | \n|
---|---|---|
Na alginate standard [8] | \nNa alginate of | \n|
3425.58 | \n3464.15 | \nνO–H a | \n
2931.80 | \n2931.80 | \nνC–H a | \n
1620.21 | \n1627.92 | \nν asym COO- b | \n
1419.61 | \n1427.32 | \nδ C–O–H, νsym COO− (carboxylate ion)1,3 | \n
1095.57 | \n1087.85 | \nν C-O, ν C-C (pyranose ring)1,2,3 | \n
1033.85 | \n1033.85 | \nν C-O1 | \n
948.98 | \n948.98 | \nν C-O (uronic acid residues)1,3 | \n
894.97 | \n871.82 | \nδ C1-H (β-mannuronic residues)1,3 | \n
The peak infrared spectrum of standard alginate and
Wavelength (cm−1) | \nType of vibration | \n||
---|---|---|---|
Na alginate standard [9] | \nNa alginate of | \nReference | \n|
— | \n779.24 | \n778.201 | \nGuluronic acid residues | \n
948.98 | \n948.98 | \n950–8102 | \nC-O stretching | \n
1033.85 | \n1026.13 | \n1023.401 | \nC-O stretching | \n
1095.57 | \n1087.85 | \n1100–10503 | \nOCO ring (shoulder) | \n
1303.88 | \n— | \n1320–12102 | \nC-O stretching | \n
1419.61 | \n— | \n1460–14002 | \nC-O asymmetric stretching | \n
2931.80 | \n2931.80 | \n~29252 | \nC-H stretching | \n
3425.58 | \n3471.87 | \n3600–32003 | \nO-H stretching | \n
Infrared spectra of Na alginate standard (red) and Na alginate of
Alloxan-induced diabetic rats did not show a significant decrease in body weight after the injection of alloxan. Five groups of diabetic rats had decreased in body weight on 15 days treatment, and there were significant differences between the groups of rats. There was no significant difference between diabetic control (negative control) compared to positive control, and the positive control was not significantly different compared to alloxan diabetic rats treated with Na alginate 200 mg/kg. Alloxan-induced diabetic rats treated with Na alginate(s) (200, 400, 600 mg/kg) did not show significant difference between each other. Administration of Na alginate(s) (400, 600 mg/kg) showed a significant difference compared to negative control. The body weight of alloxan-induced diabetic rats treated with Na alginate 600 mg/kg was not significantly different compared to normal control.
\nThe lowering of rats’ body weight treated with alginate from
Diabetic mice showed weight loss in all treatment groups except the normal control group. Normal control group gained weight of 24.1 g. The negative control group had a very significant weight loss of 51.6 g. The positive control group had a weight loss of 47.2 g. The treatment group of extract 200 mg/kg had a weight loss of 58.8 g. The treatment group of 400 mg/kg extract had a weight loss of 45.3 g. Meanwhile, the treatment group giving 600 mg/kg extract experienced a decrease in body weight by 43.1 g. Streptozotocin (STZ)-induced diabetic rats are one of the animal models of type 1 diabetes mellitus. It is well known for its selective pancreatic islet beta-cell cytotoxicity and has been extensively used to induce type 1 diabetes in an experimental rat model. Glibenclamide is often used as a standard antidiabetic drug in STZ-induced diabetes to compare the efficacy of a variety of hypoglycemic drugs [18].
\nThroughout the experiments, all the rats were monitored daily and/or weekly for the symptoms of type 1 diabetes mellitus, including polydipsia, polyuria, polyphagia, hyperglycemia, and muscle wasting leading to weight loss and insulin deficiency. Figure 1 shows the observations of body weight of treated rats during the whole period of experiments. The body weight was continuously increased in the normal group and decreased in all diabetes groups. A severe loss of body weight characterizes STZ-induced diabetes. Due to absolute or relative deficiency of insulin and decrease of the production of ATP, protein synthesis decreases in all tissues.
\nAlloxan is a urea derivative which causes selective necrosis of the pancreatic islet β-cells [19]. Alloxan and its reduction product dialuric acid establish a redox cycle with the formation of superoxide radicals [20]. Preprandial blood glucose levels were determined as fasting blood glucose. Fasting is defined as no calorie intake for at least 8 h [1]. Diabetes is diagnosed when the fasting plasma glucose concentration is consistently ≥7 mmol/L (126 mg/dL) or when the 2 h plasma glucose concentration (after drinking a 75 g glucose load) is consistently ≥11.1 mmol/L (200 mg/dL) [21].
\nAdministration of alloxan led to a significant increase of preprandial blood glucose levels in rats after 3 days. Administration of Na alginate(s) (200, 400, 400 mg/kg) significantly reduced the blood glucose level compared to diabetic control. The dose of 200 and 400 mg/kg of Na alginate did not show a significant difference compared to normal control and positive control (Table 3). The result was supported by previous studies using fiber to decrease preprandial blood glucose. Nelson et al. [22] used high indigestible fiber and low indigestible fiber diet to decrease preprandial blood glucose in diabetic dogs for 8 months which resulted in high indigestible fiber significantly that reduces preprandial blood glucose better than low indigestible fiber. Nelson et al. [23] used similar treatment in diabetic cats for 24 weeks and showed high indigestible fiber which gave a better effect on decreasing preprandial blood glucose than low indigestible fiber. Chandalia et al. [12] compared the amount of fiber that was given to diabetic patients according to the American Diet Association (8 g digestible fiber and 16 indigestible fiber) and fiber-rich diet (25 g digestible fiber and 25 indigestible fiber) for 6 weeks. Fiber-rich diet decreased 13% preprandial blood glucose lower than ADA diet.
\nGroup | \nPreprandial blood glucose (mg/dL)* | \n|
---|---|---|
Normal control | \n106.06 ± 11.33b,c | \n126.30 ± 0.50a | \n
Negative control | \n208.57 ± 70.60a | \n568.82 ± 46.40c | \n
Positive control | \n86.29 ± 13.83b | \n316.35 ± 20.90b | \n
Alginate (200 mg/kg) | \n108.50 ± 11.28c | \n279.45 ± 92.50b | \n
Alginate (400 mg/kg) | \n96.55 ± 15.65b,c | \n336.63 ± 66.32b | \n
Alginate (600 mg/kg) | \n99.03 ± 14.26b,c | \n257.66 ± 34.61b | \n
Effect of Na alginate of
Values are means ± SD. Values followed by the different superscript symbol(s) in each column were significantly different (
Normal postprandial blood glucose level is <180 mg/dL [1]. In the normal state, the postprandial blood glucose level increases less than 50 mg/dL from the preprandial blood glucose level after carbohydrate intake [24]. Alloxan-induced diabetic rats’ postprandial blood glucose level surpassed 200 mg/dL after 3 days of injection. After 15 days of treatment, the result was the administration of Na alginate(s) (200, 400, 600 mg/kg) which significantly reduces postprandial blood glucose levels on rats compared to diabetic control (P < 0.05). However, it failed to restore the level to that of normal control group and positive control group (P < 0.05). The positive control group could restore the postprandial blood glucose level at the same level as a normal control group (Table 4).
\nGroup | \nPostprandial blood glucose (mg/dL)* | \n|
---|---|---|
Normal control | \n133.05 ± 15.81b | \n150.416 ± 5.1a | \n
Negative control | \n360.48 ± 40.80a | \n633.470 ± 27.8c | \n
Positive control | \n140.75 ± 9.16b | \n333.814 ± 64.5ab | \n
Alginate (200 mg/kg) | \n257.08 ± 34.20c | \n421.652 ± 21.4bc | \n
Alginate (400 mg/kg) | \n238.61 ± 21.48c | \n433.333 ± 21.8bc | \n
Alginate (600 mg/kg) | \n196.05 ± 18.22d | \n381.250 ± 11.4ab | \n
Effect of Na alginate of
Values are means ± SD. Values followed by the different superscript symbol(s) in each column were significantly different (
Wolf et al. [25] used 1.5 g sodium alginate to show its effect on postprandial glucose peak and glucose uptake reduction after 3 h which resulted in line 32.80 ± 3.40 and 1429 ± 276 mg/dL. Sodium alginate had a reduction effect better than 1.2 g gum arabic and 0.3 g gum guar with postprandial glucose peak 40.40 ± 3.30 mg/dL and glucose uptake 1717 ± 433 mg/dL. A study on the effect of a meal containing alginate compared to testing a meal without alginate by Torsdottir et al. [26] showed that postprandial blood glucose levels by meal containing alginate decrease 31% lower than a meal without alginate.
\nPreprandial glucose levels for all treatment groups of alginate from
All treatment groups of extracts of
In general, the viscosity of dietary fiber can reduce the rise in blood glucose levels and reduce food intake by slowing the empty stomach and slowing the absorption of nutrients in the small intestine. Based on these two mechanisms, it is still not clear what mechanisms apply to sodium alginate, perhaps one or both [30]. Different doses of alginate will affect the viscosity of the given test preparation. So, it will lead to differences in the viscosity of the fluid in the gastrointestinal tract and ultimately result in differences in the rate of glucose absorption from the gastrointestinal tract into the blood vessels [31].
\nDiabetes is associated with major abnormalities in fatty acid metabolism. The resulting disturbance results in an abnormal lipoprotein cascade from the large chylomicron through to the small HDL particle [31, 32]. Total cholesterol in the serum of negative control was not significantly different compared to positive control, Na alginate 200 and 400 mg/kg treatment, and normal control. Na alginate 600 mg/kg of
Group | \nTotal cholesterol (mg/dL)* | \n|
---|---|---|
Normal control | \n70.40 ± 7.12b | \n41.55 ± 0.20a | \n
Negative control | \n67.75 ± 16.02b | \n68.41 ± 12.50b | \n
Positive control | \n72.40 ± 15.24b | \n45.79 ± 9.80a | \n
Alginate (200 mg/kg) | \n55.80 ± 3.42a,b | \n49.05 ± 20.00ab | \n
Alginate (400 mg/kg) | \n65.60 ± 14.47b | \n54.46 ± 11.00ab | \n
Alginate (600 mg/kg) | \n47.80 ± 5.40a | \n34.20 ± 7.50a | \n
Effect of Na alginate of
Values are means ± SD. Values followed by the different superscript symbol(s) in each column were significantly different (
Several previous studies supported the result. Suzuki et al. [33] evaluated the effect of alginate-rich guluronic and mannuronic on cholesterol levels in rats fed with diets containing both alginates and cholesterol which resulted from reductions in liver cholesterol in rats fed with each alginate and significantly low cholesterol accumulation in mannuronic acid-rich alginate. Ren et al. [34] screened 26 species of seaweeds and six polysaccharides from algae to study their effect on lipid in rats fed with basal diet for 28 days of treatment. The six polysaccharides were sulfated glucuronoxylomannan (0.5%), fucoidin (1%), sodium alginate (1%), funorin (2.5%), porphyrin (2.5%), and agar (2.5%). Reduction effect of each polysaccharide was 64, 65, 68, 77, 88, and 95%, respectively, compared to control group. At the end of the study, the polysaccharides could restore the cholesterol level to the same level as the control group.
\nTotal cholesterol levels of the normal control group, positive control, and alginate 600 mg/kg of
Wikanta et al. [35] reported that sodium alginate could lower total cholesterol in mice with hypercholesterolemia. Administration of sodium alginate with a viscosity of 450 cps significantly reduced total cholesterol levels compared to sodium alginate with lower viscosity. Because, sodium alginate is a water-soluble fiber compound, forming a viscous solution. The stomach fluid cannot digest this compound in the gastrointestinal tract. When dissolved in water, the sodium alginate fibers form a mesh-like grid that strongly binds many water molecules in a well-defended solute. Its properties as emulgator increasingly enhance the binding ability. A similar mechanism occurs against lipid molecules in bile acids in the gastrointestinal tract. The binding or bonding of lipids by the alginate makes lipid and cholesterol unable to absorb the body through the small intestine so that it eventually comes out with the stool. Suzuki et al. [33] also reported that alginate with various mannuronic acid and guluronic acid compositions can decrease total blood cholesterol levels.
\nAdministration of Na alginate to alloxan-induced diabetic rats for 200 mg/kg alginate of
Group | \nHDL-c (mg/dL)* | \n|
---|---|---|
Normal control | \n108.00 ± 6.59c | \n70.549 ± 1.50a | \n
Negative control | \n59.75 ± 9.39a | \n75.549 ± 11.10a | \n
Positive control | \n58.00 ± 7.78a | \n96.843 ± 14.10a | \n
Alginate (200 mg/kg) | \n61.80 ± 5.57a | \n97.617 ± 11.50a | \n
Alginate (400 mg/kg) | \n74.80 ± 10.08b | \n84.03 ± 28.20a | \n
Alginate (600 mg/kg) | \n78.60 ± 10.60b | \n75.98 ± 17.70a | \n
Effect of Na alginate of
Values are means ± SD. Values followed by the different superscript symbol(s) in each column were significantly different (
According to Rohman [36] HDL is a protective lipoprotein, in addition to functioning to bring fat to the liver; HDL proved to inhibit the oxidation of LDL and adhesion molecules. HDL-c levels throughout the treatment group did not have a significant difference. The same is also shown in the study of Suzuki et al. [33] that there was no statistically significant difference in HDL-c levels in mice suffering from hypercholesterolemia treated with sodium alginate in comparison with different glucuronic acid and mannuronic acids.
\nLDL-c after administration of alginate(s) from
Group | \nLDL-c (mg/dL)* | \n|
---|---|---|
Normal control | \n58.80 ± 7.19a | \n34.07 ± 0.90a | \n
Negative control | \n60.75 ± 16.52a | \n55.34 ± 8.30b | \n
Positive control | \n65.00 ± 14.05a | \n27.51 ± 10.00a | \n
Alginate (200 mg/kg) | \n49.60 ± 3.13a,b | \n31.81 ± 11.80a | \n
Alginate (400 mg/kg) | \n55.60 ± 13.13a,b | \n33.91 ± 5.30a | \n
Alginate (600 mg/kg) | \n41.00 ± 5.83b | \n28.78 ± 5.30a | \n
Effect of Na alginate of
Values are means ± SD. Values followed by the different superscript symbol(s) in each column were significantly different (
Administration of sodium alginate from
Triglyceride management on type 2 diabetes is targeting for <150 mg/dL [1]. When the glucose levels excess in the blood, glucose will be converted to triglycerides in which triacylglycerol synthesis process is known as lipogenesis. Carbohydrate-rich meal can lead to increase the process of lipogenesis in the liver and adipose tissue. However, the occurrence of insulin resistance inhibits lipogenesis process making glucose and free fatty acid levels in blood plasma increased. In the liver, triglyceride accumulation can cause malfunctioning of the liver (fatty liver) or liver cirrhosis in the long term [39]. Triglyceride of alloxan-induced diabetic rats did not show a significant difference between the groups of treatment using alginate of
Group | \nTriglyceride (mg/dL)* | \n|
---|---|---|
Normal control | \n75.80 ± 10.33a | \n28.73 ± 12.20a | \n
Negative control | \n77.75 ± 20.90a | \n77.73 ± 14.10b | \n
Positive control | \n80.40 ± 13.14a | \n24.31 ± 9.60a | \n
Alginate (200 mg/kg) | \n63.40 ± 25.41a | \n24.12 ± 17.70a | \n
Alginate (400 mg/kg) | \n60.80 ± 13.80a | \n31.73 ± 2.90a | \n
Alginate (600 mg/kg) | \n54.80 ± 10.91a | \n37.67 ± 8.50a | \n
Effect of Na alginate of
Values are means ± SD. Values followed by the different superscript symbol(s) in each column were significantly different (
Paxman et al. [40] reported that a drink containing alginate in the obese patient had no effect on tryglyceride level. Triglyceride levels did not show a significant difference between alginate treatment group and control group. Ren et al. [34] used six polysaccharides from algal species as a treatment for rats given with basal diet for 28 days. All of the polysaccharides used in this research could reduce triglyceride levels as good as their ability reducing LDL-c in blood serum. Funoran and sulfated glucuronoxylorhamman reduced triglyceride levels between 46 and 64% compared to the control group. Sodium alginate could decrease the triglyceride level to 29% compared to the control group. Fucoidan can reduce the triglyceride levels to 12–20% [34].
\nThe levels of triglycerides during the experiment using alginate of
All groups treated with DM except for the normal control group showed elevated triglyceride levels. Levels of triglycerides increased up to 574.867 mg/dL. The condition of hypertriglyceridemia can be diagnosed if the triglyceride level >150 mg/dL [41]. According to Pujar et al. [42], this can be due to direct damage from the pancreatic tissue by high free fatty acids. The concentration of high free fatty acid will decrease the pH and may activate trypsinogen. Also, high triglyceride levels can also be caused by the destruction of chylomicron which is a triglyceride carrier. This changes the acinar function and opens the pancreatic tissue to triglycerides.
\nNecrosis is defined as the type of cell death caused by changing the morphology of the nucleus, including chromatin condensation and fragmentation, minor changes in cytoplasmic organelles, and overall causes of cell shrinkage (apoptosis) and autophagic accumulation of two vacuole membranes in the cytoplasm [43]. In type I diabetes mellitus, patients found changes in the pancreas in the form of the reduced size of the pancreas, atrophy in the exocrine pancreas, and atrophy of the acinar cells around the degenerated Langerhans island. On the other hand, in type II diabetes mellitus, an imbalance of exocrine secretion of the pancreas and impaired control of blood glucose occur [44].
\nNormal controls show normal cell conditions (Figure 3). Negative controls show some damage to the cell. The positive control treatment group also shows the same. The treatment group of sodium alginate extract is entirely damaged in cells (necrosis). The treatment group of
Histological studies of STZ diabetic rat pancreas. Normal control: pancreatic section showed the normal size of islets, and destruction was absent (Grade -). Negative control: pancreatic section showed (green arrow) occasional islets, and (orange arrow) destruction was severe (Grade ++++). Positive control (diabetic rats +5 mg glibenclamide/kg b.w.): pancreatic section showed moderate islet architecture (green arrow), and destruction (orange arrow) was moderate (Grade +++). Diabetic rats +200 mg alginate/kg b.w., and diabetic rats 400 mg alginate/kg b.w.: pancreatic section showed (green arrow) occasional islets, and (orange arrow) destruction was severe (Grade ++++). Diabetic rats +600 mg alginate/kg b.w.: pancreatic section showed (green arrow) additive improvement in the mass of islets as compared to other alginate treatments, and (orange arrow) destructions was mild (Grade ++). Grade −, normal; Grade ++++, severe destruction; Grade +++, moderate destruction; Grade ++, mild injury.
Administration of alginate from
Research Grants Flagship Universitas Gadjah Mada supported this research through DIPA UGM 2014 number LPPM-UGM/478/LIT/2014.
\nThe authors declare no conflict of interest.
The objective of this chapter is to understand the reactive transport occurring during the High Temperature Gas Chromatography (HTGC) analysis of heavy oil hydrocarbons at common conditions and thereby quantify the implications on the final characterisation results in terms of: (i) the degree of thermal cracking of the original sample; and (ii) the non-elution of heavy components from the HTGC column by using a combined Thermo-Hydro-Chemical (THC) coupled multiphysics modelling approach.
For this endeavour, a synergy between experimental and computational coupled multi-physics approaches, has been carried out to account for three physicochemical processes: thermodynamic equilibrium fluid-flow; transport of chemical species; and chemical reactions.
An outline is given of the experimental approach used, with explanation of the methodology for extending the distribution factors data-set, necessary to describe the first process.
On the computational side, an in-house coupled multi-physics model has been developed using MATLAB [1] as language host, to couple the above three processes. The former is described, using as input to the multi-physics model the extended, experimental distribution factors dataset: and the latter two processes are described using: COMSOL Multi-physics [2] and MATLAB, and CHEMKIN [3] respectively.
Finally, the implication of the inter-related, multi-physics, physicochemical processes is discussed, based on the results from the coupled THC multi-physics model.
Detailed accounts of the experimental procedures have been published previously [4], covering the generation of isothermal and temperature-programmed retention data for n-alkanes and polywax mixtures, on poly-dimethyl-siloxane HTGC columns, up to 430°C. (i.e. based on well-established SimDist techniques). This database then enabled the distribution factors of heavy n-alkanes to be derived up to nC98H198, which were unavailable in the literature.
In the absence of a database of distribution factors of heavy n-alkanes, it was necessary to obtain insight into their behaviour inside the HTGC column, requiring development of a comprehensive methodology to extend the existing, limited amount of data up to around nC98H196 [4].
Hernandez et al. [4] derived a temperature-dependent function of distribution factors which has been applied to a series of n-alkanes spanning (nC12H26 - nC98H196) by combining Eq. (1) and numerous isothermal experiments carried out using two
For the long column, low flow rates were used, to obtain efficient resolution of eluting n-alkanes, spanning the range (nC12H26–nC64H130), under constant inlet pressure measurements conditions.
For the short column, ASTM method D7169–11 [6] was applied to achieve extended SimDist analysis, spanning the range nC12H26–nC98H198 under constant flow rate measurement conditions.
In both columns, the standard samples (ASTM D5442) was used and at least 3 isothermal GC measurements were carried out from 80 to 420°C at 20°C intervals, and lastly at 430°C. Further details can be found in [4].
In order to understand the Reactive Transport (inter-related Thermo-Hydro-Chemical multi-physics processes) occurring during HTGC analysis of heavy oils, it is necessary to consider them step-wise, within the column.
as the vaporised hydrocarbon/CS2 solvent sample is transported through the column, the
the stationary phase controls the adsorption of each component of the sample as a function of its boiling point in relation to the oven temperature program
the vaporised hydrocarbon sample encounters the stationary phase, where each component experiences a
Each component of the sample which has been dissolved in the stationary phase is retained at the same point until its vapour pressure equals that of the carrier gas, as the column temperature program proceeds, and is then transported to the GC outlet. It is assumed that
The solvent has a low boiling point compared to the hydrocarbon mixture, being the first component to be eluted or released by the stationary phase and transported by the carrier gas to the column outlet. It therefore generates the first peak in the gas chromatogram results, representing the least retained solute in the sample.
Each component might encounter other components in the carrier gas and it is assumed that all of them are transported as a batch mixture.
Each mixture is at risk of suffering a
Each component of the sample whose boiling point is not reached during the temperature program, is retained by the stationary phase, and at risk of either incomplete elution, or non-elution from the column.
The longer a heavy component is retained by the stationary phase before desorbing, the greater the risk of thermal cracking due to its greater exposure to the highest temperature.
Thus, the three physicochemical processes in a heavy-oil HTGC analysis considered in this work are:
Multiphase equilibrium:
Solvation thermodynamics using experimental data.
Transport and fluid flow:
Convection in MATLAB
Chemical reactions of thermal cracking:
which fall within the classification
The basis of the gas chromatography separation process centres on the non-isothermal multiphase equilibrium of each of the chemical species in the mixture sample between the stationary phase and the gas phase (transported by the carrier gas) taking advantage of their distinct boiling points.
This equilibrium is established in multiple stages throughout the length of the capillary column. The analysis mixture sample is dissolved and retained in the stationary phase at low initial temperatures and each component comprising the mixture is evaporated and separated from the sample mixture once its boiling point temperatures and pressure is reached. Thus, solvation thermodynamics is used to describe the gas–liquid equilibrium of each chemical species inside the GC column.
The temperature-dependent expression for the distribution factor,
The mass transfer is assumed to be governed only by the interaction between the solute and the stationary phase, while the interactions between solute-solute and solute-carrier gas are assumed to be negligible as the interfacial and extra-column effects leading to non-equilibrium conditions [12].
A semi-empirical model [13, 14] developed by Castells et al. [15] for the determination of the isothermal retention times as function of the hold-up time,
In Eq. (1),
Aldaeus [16] has proposed two retention mechanisms according to the nature of the separation hold between the analyte and the stationary phase, based on the semi-empirical values of the thermodynamic properties of Eq. (1).
The Snijders [17] method for calculating the retention times in gas chromatography is based on the peak position determination which is not affected by the diffusion effects but by the convection process only [16].
Eq. (2) expresses the convection process in terms of the effective velocity veff of the analyte in the carrier gas. Discretized into finite time-steps of Eq. (2) allows tracking of the position of the analyte at every
Integrating the differential form of the Hagen-Poiseuille fluid mechanics Equations [10, 18] through the length of the column allows calculation of
In Eq. (3),
The large number of species in the reduced free-radical pyrolysis model developed in [23] has imposed a need to develop a reduced molecular pyrolysis model, comprising 11 n-alkanes (nC14H30, nC16H32, nC20H42, nC25H52, nC30H62, nC35H72, nC40H82, nC50H102, nC60H122, nC70H142, and nC80H162).
In this work, a “class” molecular mechanism has been obtained after applying the following three rearrangements to our reduced molecular mechanism model [7]:
Lumping of molecules belonging to the global class “C15 plus” which are produced by an n-alkane reactant.
Lumping of n-alkane reactants, which produced n-alkane reactants or lighter class.
Lumping of global class C15 as reactant.
Refer to [23], to understand the thermal cracking original kinetic and mechanism model development, and refer to [7] to understand the detailed explanation of the kinetics and mechanism reduction procedure from molecular mechanism model to a “class” molecular mechanism.
The optimised reduced “class” molecular mechanism used in this work is composed of 127 molecular reactions and 17 species (11 n-alkanes, and 6 “class” molecular pyrolysis products) which has been obtained after applying to the whole mechanism the above rearrangement and its corresponding kinetic data [7].
Thus, the final reduced molecular mechanism, accounts for:
11 original n-alkanes (reactants): nC14, nC16, nC20, nC25, nC30, nC35, nC40, nC50, nC60, nC70, nC80.
6 classes: alkene, CH4, C2H6, C3-C5, C6-C13 and C15 plus.
Finally, as summarised in Table 1 the number of reactions of the original free-radical pyrolysis model has been reduced from 7055 to 127, and the number of species from 336 to 17, whilst still yielding very good accuracy as depicted in Figure 1.
Pyrolysis mechanisms | ||
---|---|---|
Radicals | “Class” Molecular | |
Mixture of Heavy Oils | nC14, nC16, nC20, nC25, nC30, nC35, nC40, nC45, nC50, nC55, nC60, nC65, nC70, nC75, nC80 | nC14, nC16, nC20, nC25, nC30, nC35, nC40, nC50, nC60, nC70, nC80 |
Reactants | 15 | 11 |
Reactions | 7055 | 127 |
Species | 336 | 17 |
Molecules | 242 | |
Radicals | 94 |
Summary of size of the mechanistic kinetics models developed.
Comparison of free radical model and “class” molecular model for heavy n-alkanes mixtures. (simulation of a closed reactor at 1 MPa).
An understanding of the Thermo-Hydro-Chemical (THC) processes occurring inside an HTGC column during the analysis of heavy oil hydrocarbons was obtained through detailed study with an in-house coupled THC model.
The coupling of the physico-chemical processes is sequential due to the complexity of the system, and the level of detail with which each process has been described. Hence, a fully coupled model is prohibited while a sequential coupling can handle effectively the following processes:
the thermodynamics equilibrium is described using experimental input data of a series of n-alkanes spanning (nC12H26-nC98H196) [4].
the chemical reactions are described using kinetics and mechanistic modelling of 11 n-alkanes: nC14, nC16, nC20, nC25, nC30, nC35, nC40, nC50, nC60, nC70, nC80 and 6 class molecules: alkene, CH4, C2H6, C3-C5, C6-C13 and C15 plus.
the convection process is described using the Hagen-Poiseuille fluid mechanics equations [10, 18].
The sequence of these processes was arranged using short time intervals where the temperature was constant during the temperature ramp, and with a batch size as described using Golay’s theory [24] for diffusion and convection processes.
From a computational modelling perspective, the multi-physics processes can be simplified and described as follows:
The system to model is delimited to the gas phase inside the HTGC column, comprising only the carrier gas transporting each component from the column inlet to the outlet.
The control volume is the inner volume of the coiled capillary GC column (e.g.,typically 0.53 mm internal diameter, and 25-30 m length).
The fluid flow and transport of chemical species considers only the convection process of the carrier gas transporting each of the species at its own speed from the GC inlet to the GC outlet. The diffusion of the chemical species in the gas phase has been concluded to be negligible based on a previous investigation [19] which compares the advection process (convection plus diffusion) and the convection process only, demonstrating no difference between the chromatogram peaks results using both approaches.
The equilibrium occurring in the interface between the stationary phase and the gas phase is modelled through the extended thermodynamics distribution factors dataset obtained previously [4], for each one of the heavy n-alkanes hydrocarbons mixture.
The heavy oil mixture is simplified to one comprising only heavy n-alkanes, ranging from nC25H52 to nC98H198 which is suitably representative, bearing in mind that long-chain n-alkanes are the most susceptible to thermal cracking.
Their thermal cracking is modelled in the gas phase only, using a reduced and optimised kinetics and mechanism developed previously [7] and validated against a detailed mechanism of the heavy oil mixture developed initially [23].
Finally, the coupling of the three physics involved is made in a sequential order as follows:
The column is treated as a series of batches of 1 mm
The time for the multi-physics processes to occur in each batch is the time for each species to travel at the carrier gas velocity, from the centroid of one batch to the following one, with velocity derived from volumetric flow measurement and column i.d.
The chemical species are modelled through convection only, using MATLAB. No diffusivity is included in this final work as explained in [7]
The chemical species undergo an equilibrium which is reached based on the thermodynamics of solvation using the extended distribution factors data set introduced previously [4]
The position of each of the chemical species is calculated and each batch is created according to the chemical species found in the batch volume. Thus, the chemical reactions of the thermal cracking are modelled in each mini-batch reactor.
Each batch is updated with the new species found inside.
The convection of the new chemical species is modelled as described in c) and so on, until all the batches arrive at the GC outlet sequentially.
This work uses the discretization method introduced by Snijders [17], which predicts the peak width of the solute zone as the space that a solute migrating through the column occupies [25]. This approach of the convection model was successfully coupled to the reduced molecular pyrolysis model from [7].
Equal time segments are used to discretize the simulation as proposed by Snijders [17] for enabling isothermal properties to be used at every time-step according to the ramp of temperature used. Thus, a sufficiently small time-step permits a uniform pressure to be assumed in the column segments traversed by the solute.
The local plate height (H) is calculated at every time-step based on the Golay [24] expression for open tubular columns, as shown in Eq. (5), where
Note here that
The local zone variance (
Eq. (7) describes the increment in the zone variance length, and can be obtained by the summation of all the local contributions of zone variances. Giddings [26] explained that at every time step, the correction is applied for the expansion of the solute zone due to the reduction in pressure (
This approach, has been programmed in MATLAB, and has been compared in [7] with the solution yielded by the COMSOL-MATLAB model developed in [19], which solves the diffusive-convective equation by finite elements.
The comparison study confirmed excellent agreement in predictions of the zone’s centroid (average relative error of 1.1%) and of the zone’s standard deviations (average relative error of 3%), as depicted in Figure 2.
Comparison of zone standard deviation and zone centroid of nC12H26, predicted using an iterative analytic approach11 using MATLAB and solving the diffusive-convection equation by finite element in COMSOL. (Column dimensions
Thus, the analytical model implemented in MATLAB has been coupled to the reduced molecular pyrolysis model described above, and as detailed in [7], by calling CHEMKIN at every time step iteration, and using feedback between the two models until each component elutes from the GC column.
Both the reduced molecular pyrolysis model and the analytic iterative GC model derive from the prior high-performance improvement process required for ultimately attaining an efficient coupled physics-chemical model.
The latter can predict the zone’s centroid, the standard deviation and the pyrolysis decomposition of every solute studied for both as a mixture and as a single component according to the position of every solute related to the batch width at every time-step.
In order to maintain a constant temperature at every time-step, a constant time-step has been implemented, permitting an increment of 1°C every 4 seconds (corresponding to the ramp of 15°C/min, used).
Initially, for every component studied, the position of the zone’s centroid in the next time step (xi+1), is calculated, using Snijders [23, 27] approach Eq. (8) (see ref. [19]), the distribution factor (
Figure 3, shows the algorithm explaining the global calculation carried out by the coupled THC model for an heavy oil analysis by HTGC, using the above models as explained previously. For more detail refer to [7].
Algorithm of the pyrolysis-GC coupled model.
The implications of the THC processes during an HTGC heavy oil analysis can be summarised under two headings:
Thermal cracking risk of the original sample.
Non-elution or incomplete elution of the sample.
A detailed analysis of these implications is presented, based on the results of the in-house developed THC multiphysics model, described above.
The cumulative conversion due to pyrolysis of the 11 n-alkanes is studied in [4], in order to analyse their risk, as depicted in Figure 4. For each component the ratio is calculated of the cumulative mass lost (Figure 5) due to thermal cracking, compared to the mass injected.
Accumulative mass lost due to thermal cracking for n-alkanes (nC14, nC16, nC20, nC25, nC30, nC35, nC40, nC50, nC60, nC70, nC80) at a common HTGC temperature programming (
Cumulative conversion due to thermal cracking for n-alkanes (nC14, nC16, nC20, nC25, nC30, nC35, nC40, nC50, nC60, nC70, nC80) at a common HTGC temperature programming (
As would be expected, no pyrolysis reaction occurs in the case of nC14H30 and nC16H34 with the temperature program used (Table 2), and their associated short residence times inside the GC column. Similarly, within the range nC20H42 to nC40H82, insignificant conversion occurs, whereas in the case of nC50H102 the maximum mass loss through thermal decomposition before elution is 0.003%.
Parameters | Values |
---|---|
Tinitial (°C) | 10 |
Hold up time at Tinicial (min) | 0 |
ramp of T (°C/min) | 15 |
Tmax (°C) | 430 |
Hold up time at Tmax (min) | 12 |
Temperature programming.
SGE HT5 GC Column | |
---|---|
Length [m] | 12 |
Diameter [mm] | 0.53 |
Film thickness [um] | 0.15 |
Column dimensions of in-house HTGC.
Low but detectable mass loss occurs with the heaviest n-alkanes. nC60H122 has a significant loss in the stationary phase where only 2.43·10−12 g are released to the gas phase with the remainder trapped in the stationary phase. Further, pyrolysis loss begins at 373°C with a 0.001% cumulative mass conversion. nC70H142, presents a cumulative conversion of 0.001% at 385°C with only 2.32·10−10 g released in the gas phase and the rest trapped in the stationary phase.
It should be noted that at the time-step when nC60H122 decomposition starts, nC50H102 is virtually totally eluted (99.9%) eluted, and hence the pyrolysis products present no risk of co-elution with the latter. Rather, the pyrolysis products of nC60H122 are released gradually, evidenced by a slowly increasing baseline signal.
Similarly, nC70H142 starts to decompose when located 1.02 m away from the GC inlet, and 0.68 minutes after nC60H122 is essentially fully eluted (99.99%). Therefore, the pyrolysis products present no risk of co-elution with, nor distortion of the peak for nC60H122.
Lastly, nC80H162 starts to decompose at 0.41 m from the column inlet, while nC70H142 is located 1.64 m from the inlet. Thus, when nC70H142 is essentially fully eluted (99.99%), at 7.83 m from the column inlet, nC80H162 has undergone a cumulative conversion of 0.52% mass loss by pyrolysis, relative to mass injected. That equates to 3.97.10−11 g of nC80H162 converted into pyrolysis products, and which co-elutes with nC70H142, resulting in unreliable quantification.
For the determination of non/incomplete elution of heavy n-alkanes, the data set of distribution factors of the n-alkanes spanning the range from nC12H26 to nC98H198, [4] was used as main input for the calculation of the degree of elution of each of the n-alkanes studied.
The
Degree of elution vs. transit time of each component “i”: n-alkanes in the range of C14H30 to nC80H162. Degree of elution = moles of “i” inside the GC column at time (t) /moles injected of “i”.
Alkanes heavier than nC60H122 elute during the isothermal plateau of the temperature programmed at 430°C. Therefore, constant distribution factors apply for the re-equilibration period, when characteristic peak broadening is observable. (c.f. the essentially symmetrical peaks associated with temperature programmed GC analyses).
nC70H142 starts to elute at 29 minutes with a 99.99% degree of elution at 31.3 minutes, and 100% at 31.5 minutes. nC70H142 takes 2.5 minutes to elute completely.
nC80H162 starts to elute at 33.8 minutes, with a degree of elution of 99.99% at 40.9 minutes and 100% after 42.3 minutes. nC80H162 takes 7.1 minutes to elute and 8.5 minutes to completely elute.
In this simulated study, components from nC70H142 and above, elute so slowly that peak resolution for the group cannot be assessed. Rather, in practice, a continuum is observed, in the form of a gradually increasing baseline, rising to a plateau which gradually reduces during the final isothermal period of the oven temperature program.
It is interesting to note that 99.99% of nC80H162 requires to elute 12.9 minutes at the isothermal conditions at the maximum temperature (430°C) of the analysis. of 99.99%. This means that this component is not normally taken into account in the GC calculations, due to the shorter period of time and stationary phase bleeding.
This chapter provides an insight into the analysis of the Reactive Transport process occurring during the analysis of heavy oil hydrocarbons inside a High Temperature Gas Chromatography column, and the implication that those interrelated physicochemical processes generate, by application of a Thermo-Hydro-Chemical (THC) coupled multiphysics approach.
The number of species in the reduced free-radical pyrolysis model developed in [19] has imposed a need to develop a reduced molecular pyrolysis model, comprising 11 n-alkanes (nC14H30, nC16H32, nC20H42, nC25H52, nC30H62, nC35H72, nC40H82, nC50H102, nC60H122, nC70H142, and nC80H162). The number of reactions has been reduced from 7055 to 127, and the number of species from 336 to 17, whilst still yielding very good accuracy.
THC multi-physics model has been implemented to resolve the HTGC limitations. The cumulative pyrolysis conversion of the 11 n-alkanes studied in this work, suggests that 0.52% of the mass injected of nC80H162, thermally decomposed before nC70H142. Therefore, co-elution of nC70H142 and the pyrolysis product of nC80H162 makes the GC analysis of nC70H142 and heavier n-alkanes no longer reliable.
The degree of elution of the 11 n-alkanes studied in the chapter confirms that alkanes heavier than nC70H142 take progressively longer to elute completely from the column, viz. nC70H142 takes 2.3 minutes and nC80H162 takes 7.1 minutes, with co-elution of decomposition products in each case compromising their analyses.
Finally, nC80H162 takes 12.9 minutes to completely elute during the isothermal plateau, resulting in no distinct peak being observable. Consequently, the eluting component will be masked in the FID plateau signal, in combination with column bleed products. As a result the nC80H162 analysis may not be utilised under these HTGC conditions.
The authors wish to thank the members of our JIP: Marathon Oil Corporation, Schlumberger and Total for both their technical and financial support during this project.
Deff | Effective average Diffusivity (unit length2/unit time) |
D | Apparent diffusion coefficient, represents all factors causing dispersion (unit length2/unit time) |
DM | Diffusion constant, mobile phase (unit length2/unit time) |
DS | Diffusion constant, stationary phase (unit length2/unit time) |
H(x,t)) | Column plate height, spatial rate of dispersion of a zone (unit length) |
K | Distribution factor of a compound (moles/volume) in stationary phase/(moles/volume) in gas phase) |
k | retention factor of a compound (moles in stationary phase/moles in gas phase). |
L | Length of the GC column (unit length) |
m(x,to) | mass profile for every analyte (particles/unit length). |
Ni,M | Moles of component “i” in the mobile phase. |
Ni,S | Moles of component “i” in the stationary phase. |
P(x) | Pressure at position x (Pa) |
Pin | Pressure at the GC colum inlet. |
Pout | Pressure at the GC column outlet (Pa) |
ro | Internal radius of GC column (unit length) |
ramp T | Ramp of temperature of the temperature programmed. |
T(t) | Temperature at the time t. |
To | Initial temperature of the temperature programmed. |
t | time (unit time) |
veff | Effective cross-sectional average velocity (unit length/unit time) |
vM | Velocity of migration of the carrier gas (unit length/unit time) |
w | Film thickness (unit length) |
Xi | Fraction of component i in the gas phase relative to the moles in both stationary and gas phase. |
x0 | Centroid of Gaussian distribution of distribution of component inside the GC column (unit length) |
x | Position of the component’s dispersal around the centroid x0.(unit length) |
Greek letters | |
σ | Standard deviation of the distribution of component inside the GC column (unit length) |
β | Phase ratio (volume of mobile phase in the column to the volume of stationary phase). |
ηm | Viscosity of the carrier gas.(μPa·s). |
Δt | Time step (unit time). |
Authors are listed below with their open access chapters linked via author name:
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\\n\\nAlberto Mantovani 2014-18
\\n\\nMarjan Mernik 2017, 2018
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\\n\\nMohamed Oukka 2016-18
\\n\\nBiswajeet Pradhan 2016-18
\\n\\nDirk Raes 2017, 2018
\\n\\nUlrike Ravens-Sieberer 2016-18
\\n\\nYexiang Tong 2017, 2018
\\n\\nJim Van Os 2015-18
\\n\\nLong Wang 2017, 2018
\\n\\nFei Wei 2016-18
\\n\\nIoannis Xenarios 2017, 2018
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\\n\\nXin-She Yang 2017, 2018
\\n\\nYulong Yin 2015, 2017, 2018
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\n\n\n\n\n\n\n\n\n\nJocelyn Chanussot (chapter to be published soon...)
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\n\nAbdul Latif Ahmad 2016-18
\n\nKhalil Amine 2017, 2018
\n\nEwan Birney 2015-18
\n\nFrede Blaabjerg 2015-18
\n\nGang Chen 2016-18
\n\nJunhong Chen 2017, 2018
\n\nZhigang Chen 2016, 2018
\n\nMyung-Haing Cho 2016, 2018
\n\nMark Connors 2015-18
\n\nCyrus Cooper 2017, 2018
\n\nLiming Dai 2015-18
\n\nWeihua Deng 2017, 2018
\n\nVincenzo Fogliano 2017, 2018
\n\nRon de Graaf 2014-18
\n\nHarald Haas 2017, 2018
\n\nFrancisco Herrera 2017, 2018
\n\nJaakko Kangasjärvi 2015-18
\n\nHamid Reza Karimi 2016-18
\n\nJunji Kido 2014-18
\n\nJose Luiszamorano 2015-18
\n\nYiqi Luo 2016-18
\n\nJoachim Maier 2014-18
\n\nAndrea Natale 2017, 2018
\n\nAlberto Mantovani 2014-18
\n\nMarjan Mernik 2017, 2018
\n\nSandra Orchard 2014, 2016-18
\n\nMohamed Oukka 2016-18
\n\nBiswajeet Pradhan 2016-18
\n\nDirk Raes 2017, 2018
\n\nUlrike Ravens-Sieberer 2016-18
\n\nYexiang Tong 2017, 2018
\n\nJim Van Os 2015-18
\n\nLong Wang 2017, 2018
\n\nFei Wei 2016-18
\n\nIoannis Xenarios 2017, 2018
\n\nQi Xie 2016-18
\n\nXin-She Yang 2017, 2018
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Recently, he expanded his research interest to epidemiology and biostatistics of chronic diseases in Gabon.",institutionString:"Kent State University",institution:{name:"Kent State University",country:{name:"United States of America"}}},{id:"188773",title:"Prof.",name:"Emmanuel",middleName:null,surname:"Drouet",slug:"emmanuel-drouet",fullName:"Emmanuel Drouet",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/188773/images/system/188773.png",biography:"Emmanuel Drouet, PharmD, is a Professor of Virology at the Faculty of Pharmacy, the University Grenoble-Alpes, France. As a head scientist at the Institute of Structural Biology in Grenoble, Dr. Drouet’s research investigates persisting viruses in humans (RNA and DNA viruses) and the balance with our host immune system. He focuses on these viruses’ effects on humans (both their impact on pathology and their symbiotic relationships in humans). He has an excellent track record in the herpesvirus field, and his group is engaged in clinical research in the field of Epstein-Barr virus diseases. He is the editor of the online Encyclopedia of Environment and he coordinates the Universal Health Coverage education program for the BioHealth Computing Schools of the European Institute of Science.",institutionString:null,institution:{name:"Grenoble Alpes University",country:{name:"France"}}},{id:"131400",title:"Prof.",name:"Alfonso J.",middleName:null,surname:"Rodriguez-Morales",slug:"alfonso-j.-rodriguez-morales",fullName:"Alfonso J. Rodriguez-Morales",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/131400/images/system/131400.png",biography:"Dr. Rodriguez-Morales is an expert in tropical and emerging diseases, particularly zoonotic and vector-borne diseases (especially arboviral diseases). He is the president of the Travel Medicine Committee of the Pan-American Infectious Diseases Association (API), as well as the president of the Colombian Association of Infectious Diseases (ACIN). He is a member of the Committee on Tropical Medicine, Zoonoses, and Travel Medicine of ACIN. He is a vice-president of the Latin American Society for Travel Medicine (SLAMVI) and a Member of the Council of the International Society for Infectious Diseases (ISID). Since 2014, he has been recognized as a Senior Researcher, at the Ministry of Science of Colombia. He is a professor at the Faculty of Medicine of the Fundacion Universitaria Autonoma de las Americas, in Pereira, Risaralda, Colombia. He is an External Professor, Master in Research on Tropical Medicine and International Health, Universitat de Barcelona, Spain. He is also a professor at the Master in Clinical Epidemiology and Biostatistics, Universidad Científica del Sur, Lima, Peru. In 2021 he has been awarded the “Raul Isturiz Award” Medal of the API. Also, in 2021, he was awarded with the “Jose Felix Patiño” Asclepius Staff Medal of the Colombian Medical College, due to his scientific contributions to COVID-19 during the pandemic. He is currently the Editor in Chief of the journal Travel Medicine and Infectious Diseases. His Scopus H index is 47 (Google Scholar H index, 68).",institutionString:"Institución Universitaria Visión de las Américas, Colombia",institution:null},{id:"332819",title:"Dr.",name:"Chukwudi Michael",middleName:"Michael",surname:"Egbuche",slug:"chukwudi-michael-egbuche",fullName:"Chukwudi Michael Egbuche",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/332819/images/14624_n.jpg",biography:"I an Dr. Chukwudi Michael Egbuche. I am a Senior Lecturer in the Department of Parasitology and Entomology, Nnamdi Azikiwe University, Awka.",institutionString:null,institution:{name:"Nnamdi Azikiwe University",country:{name:"Nigeria"}}},{id:"284232",title:"Mr.",name:"Nikunj",middleName:"U",surname:"Tandel",slug:"nikunj-tandel",fullName:"Nikunj Tandel",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/284232/images/8275_n.jpg",biography:'Mr. Nikunj Tandel has completed his Master\'s degree in Biotechnology from VIT University, India in the year of 2012. He is having 8 years of research experience especially in the field of malaria epidemiology, immunology, and nanoparticle-based drug delivery system against the infectious diseases, autoimmune disorders and cancer. He has worked for the NIH funded-International Center of Excellence in Malaria Research project "Center for the study of complex malaria in India (CSCMi)" in collaboration with New York University. The preliminary objectives of the study are to understand and develop the evidence-based tools and interventions for the control and prevention of malaria in different sites of the INDIA. Alongside, with the help of next-generation genomics study, the team has studied the antimalarial drug resistance in India. Further, he has extended his research in the development of Humanized mice for the study of liver-stage malaria and identification of molecular marker(s) for the Artemisinin resistance. At present, his research focuses on understanding the role of B cells in the activation of CD8+ T cells in malaria. Received the CSIR-SRF (Senior Research Fellow) award-2018, FIMSA (Federation of Immunological Societies of Asia-Oceania) Travel Bursary award to attend the IUIS-IIS-FIMSA Immunology course-2019',institutionString:"Nirma University",institution:{name:"Nirma University",country:{name:"India"}}},{id:"334383",title:"Ph.D.",name:"Simone",middleName:"Ulrich",surname:"Ulrich Picoli",slug:"simone-ulrich-picoli",fullName:"Simone Ulrich Picoli",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/334383/images/15919_n.jpg",biography:"Graduated in Pharmacy from Universidade Luterana do Brasil (1999), Master in Agricultural and Environmental Microbiology from Federal University of Rio Grande do Sul (2002), Specialization in Clinical Microbiology from Universidade de São Paulo, USP (2007) and PhD in Sciences in Gastroenterology and Hepatology (2012). She is currently an Adjunct Professor at Feevale University in Medicine and Biomedicine courses and a permanent professor of the Academic Master\\'s Degree in Virology. She has experience in the field of Microbiology, with an emphasis on Bacteriology, working mainly on the following topics: bacteriophages, bacterial resistance, clinical microbiology and food microbiology.",institutionString:null,institution:{name:"Universidade Feevale",country:{name:"Brazil"}}},{id:"229220",title:"Dr.",name:"Amjad",middleName:"Islam",surname:"Aqib",slug:"amjad-aqib",fullName:"Amjad Aqib",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/229220/images/system/229220.png",biography:"Dr. Amjad Islam Aqib obtained a DVM and MSc (Hons) from University of Agriculture Faisalabad (UAF), Pakistan, and a PhD from the University of Veterinary and Animal Sciences Lahore, Pakistan. Dr. Aqib joined the Department of Clinical Medicine and Surgery at UAF for one year as an assistant professor where he developed a research laboratory designated for pathogenic bacteria. Since 2018, he has been Assistant Professor/Officer in-charge, Department of Medicine, Manager Research Operations and Development-ORIC, and President One Health Club at Cholistan University of Veterinary and Animal Sciences, Bahawalpur, Pakistan. He has nearly 100 publications to his credit. His research interests include epidemiological patterns and molecular analysis of antimicrobial resistance and modulation and vaccine development against animal pathogens of public health concern.",institutionString:"Cholistan University of Veterinary and Animal Sciences",institution:null},{id:"62900",title:"Prof.",name:"Fethi",middleName:null,surname:"Derbel",slug:"fethi-derbel",fullName:"Fethi Derbel",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/62900/images/system/62900.jpeg",biography:"Professor Fethi Derbel was born in 1960 in Tunisia. He received his medical degree from the Sousse Faculty of Medicine at Sousse, University of Sousse, Tunisia. He completed his surgical residency in General Surgery at the University Hospital Farhat Hached of Sousse and was a member of the Unit of Liver Transplantation in the University of Rennes, France. He then worked in the Department of Surgery at the Sahloul University Hospital in Sousse. Professor Derbel is presently working at the Clinique les Oliviers, Sousse, Tunisia. His hospital activities are mostly concerned with laparoscopic, colorectal, pancreatic, hepatobiliary, and gastric surgery. He is also very interested in hernia surgery and performs ventral hernia repairs and inguinal hernia repairs. He has been a member of the GREPA and Tunisian Hernia Society (THS). During his residency, he managed patients suffering from diabetic foot, and he was very interested in this pathology. For this reason, he decided to coordinate a book project dealing with the diabetic foot. Professor Derbel has published many articles in journals and collaborates intensively with IntechOpen Access Publisher as an editor.",institutionString:"Clinique les Oliviers",institution:null},{id:"300144",title:"Dr.",name:"Meriem",middleName:null,surname:"Braiki",slug:"meriem-braiki",fullName:"Meriem Braiki",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/300144/images/system/300144.jpg",biography:"Dr. Meriem Braiki is a specialist in pediatric surgeon from Tunisia. She was born in 1985. She received her medical degree from the University of Medicine at Sousse, Tunisia. She achieved her surgical residency training periods in Pediatric Surgery departments at University Hospitals in Monastir, Tunis and France.\r\nShe is currently working at the Pediatric surgery department, Sidi Bouzid Hospital, Tunisia. Her hospital activities are mostly concerned with laparoscopic, parietal, urological and digestive surgery. She has published several articles in diffrent journals.",institutionString:"Sidi Bouzid Regional Hospital",institution:null},{id:"229481",title:"Dr.",name:"Erika M.",middleName:"Martins",surname:"de Carvalho",slug:"erika-m.-de-carvalho",fullName:"Erika M. de Carvalho",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/229481/images/6397_n.jpg",biography:null,institutionString:null,institution:{name:"Oswaldo Cruz Foundation",country:{name:"Brazil"}}},{id:"186537",title:"Prof.",name:"Tonay",middleName:null,surname:"Inceboz",slug:"tonay-inceboz",fullName:"Tonay Inceboz",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/186537/images/system/186537.jfif",biography:"I was graduated from Ege University of Medical Faculty (Turkey) in 1988 and completed his Med. PhD degree in Medical Parasitology at the same university. I became an Associate Professor in 2008 and Professor in 2014. I am currently working as a Professor at the Department of Medical Parasitology at Dokuz Eylul University, Izmir, Turkey.\n\nI have given many lectures, presentations in different academic meetings. I have more than 60 articles in peer-reviewed journals, 18 book chapters, 1 book editorship.\n\nMy research interests are Echinococcus granulosus, Echinococcus multilocularis (diagnosis, life cycle, in vitro and in vivo cultivation), and Trichomonas vaginalis (diagnosis, PCR, and in vitro cultivation).",institutionString:"Dokuz Eylül University",institution:{name:"Dokuz Eylül University",country:{name:"Turkey"}}},{id:"71812",title:"Prof.",name:"Hanem Fathy",middleName:"Fathy",surname:"Khater",slug:"hanem-fathy-khater",fullName:"Hanem Fathy Khater",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/71812/images/1167_n.jpg",biography:"Prof. Khater is a Professor of Parasitology at Benha University, Egypt. She studied for her doctoral degree, at the Department of Entomology, College of Agriculture, Food and Natural Resources, University of Missouri, Columbia, USA. She has completed her Ph.D. degrees in Parasitology in Egypt, from where she got the award for “the best scientific Ph.D. dissertation”. She worked at the School of Biological Sciences, Bristol, England, the UK in controlling insects of medical and veterinary importance as a grant from Newton Mosharafa, the British Council. Her research is focused on searching of pesticides against mosquitoes, house flies, lice, green bottle fly, camel nasal botfly, soft and hard ticks, mites, and the diamondback moth as well as control of several parasites using safe and natural materials to avoid drug resistances and environmental contamination.",institutionString:null,institution:{name:"Banha University",country:{name:"Egypt"}}},{id:"99780",title:"Prof.",name:"Omolade",middleName:"Olayinka",surname:"Okwa",slug:"omolade-okwa",fullName:"Omolade Okwa",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/99780/images/system/99780.jpg",biography:"Omolade Olayinka Okwa is presently a Professor of Parasitology at Lagos State University, Nigeria. She has a PhD in Parasitology (1997), an MSc in Cellular Parasitology (1992), and a BSc (Hons) Zoology (1990) all from the University of Ibadan, Nigeria. She teaches parasitology at the undergraduate and postgraduate levels. She was a recipient of a Commonwealth fellowship supported by British Council tenable at the Centre for Entomology and Parasitology (CAEP), Keele University, United Kingdom between 2004 and 2005. She was awarded an Honorary Visiting Research Fellow at the same university from 2005 to 2007. \nShe has been an external examiner to the Department of Veterinary Microbiology and Parasitology, University of Ibadan, MSc programme between 2010 and 2012. She is a member of the Nigerian Society of Experimental Biology (NISEB), Parasitology and Public Health Society of Nigeria (PPSN), Science Association of Nigeria (SAN), Zoological Society of Nigeria (ZSN), and is Vice Chairperson of the Organisation of Women in Science (OWSG), LASU chapter. She served as Head of Department of Zoology and Environmental Biology, Lagos State University from 2007 to 2010 and 2014 to 2016. She is a reviewer for several local and international journals such as Unilag Journal of Science, Libyan Journal of Medicine, Journal of Medicine and Medical Sciences, and Annual Research and Review in Science. \nShe has authored 45 scientific research publications in local and international journals, 8 scientific reviews, 4 books, and 3 book chapters, which includes the books “Malaria Parasites” and “Malaria” which are IntechOpen access publications.",institutionString:"Lagos State University",institution:{name:"Lagos State University",country:{name:"Nigeria"}}},{id:"273100",title:"Dr.",name:"Vijay",middleName:null,surname:"Gayam",slug:"vijay-gayam",fullName:"Vijay Gayam",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/273100/images/system/273100.jpeg",biography:"Dr. Vijay Bhaskar Reddy Gayam is currently practicing as an internist at Interfaith Medical Center in Brooklyn, New York, USA. He is also a Clinical Assistant Professor at the SUNY Downstate University Hospital and Adjunct Professor of Medicine at the American University of Antigua. He is a holder of an M.B.B.S. degree bestowed to him by Osmania Medical College and received his M.D. at Interfaith Medical Center. His career goals thus far have heavily focused on direct patient care, medical education, and clinical research. He currently serves in two leadership capacities; Assistant Program Director of Medicine at Interfaith Medical Center and as a Councilor for the American\r\nFederation for Medical Research. As a true academician and researcher, he has more than 50 papers indexed in international peer-reviewed journals. He has also presented numerous papers in multiple national and international scientific conferences. His areas of research interest include general internal medicine, gastroenterology and hepatology. He serves as an editor, editorial board member and reviewer for multiple international journals. His research on Hepatitis C has been very successful and has led to multiple research awards, including the 'Equity in Prevention and Treatment Award” from the New York Department of Health Viral Hepatitis Symposium (2018) and the 'Presidential Poster Award” awarded to him by the American College of Gastroenterology (2018). He was also awarded 'Outstanding Clinician in General Medicine” by Venus International Foundation for his extensive research expertise and services, perform over and above the standard expected in the advancement of healthcare, patient safety and quality of care.",institutionString:"Interfaith Medical Center",institution:{name:"Interfaith Medical Center",country:{name:"United States of America"}}},{id:"93517",title:"Dr.",name:"Clement",middleName:"Adebajo",surname:"Meseko",slug:"clement-meseko",fullName:"Clement Meseko",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/93517/images/system/93517.jpg",biography:"Dr. Clement Meseko obtained DVM and PhD degree in Veterinary Medicine and Virology respectively. He has worked for over 20 years in both private and public sectors including the academia, contributing to knowledge and control of infectious disease. Through the application of epidemiological skill, classical and molecular virological skills, he investigates viruses of economic and public health importance for the mitigation of the negative impact on people, animal and the environment in the context of Onehealth. \r\nDr. Meseko’s field experience on animal and zoonotic diseases and pathogen dynamics at the human-animal interface over the years shaped his carrier in research and scientific inquiries. He has been part of the investigation of Highly Pathogenic Avian Influenza incursions in sub Saharan Africa and monitors swine Influenza (Pandemic influenza Virus) agro-ecology and potential for interspecies transmission. He has authored and reviewed a number of journal articles and book chapters.",institutionString:"National Veterinary Research Institute",institution:{name:"National Veterinary Research Institute",country:{name:"Nigeria"}}},{id:"158026",title:"Prof.",name:"Shailendra K.",middleName:null,surname:"Saxena",slug:"shailendra-k.-saxena",fullName:"Shailendra K. Saxena",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRET3QAO/Profile_Picture_2022-05-10T10:10:26.jpeg",biography:"Professor Dr. Shailendra K. Saxena is a vice dean and professor at King George's Medical University, Lucknow, India. His research interests involve understanding the molecular mechanisms of host defense during human viral infections and developing new predictive, preventive, and therapeutic strategies for them using Japanese encephalitis virus (JEV), HIV, and emerging viruses as a model via stem cell and cell culture technologies. His research work has been published in various high-impact factor journals (Science, PNAS, Nature Medicine) with a high number of citations. He has received many awards and honors in India and abroad including various Young Scientist Awards, BBSRC India Partnering Award, and Dr. JC Bose National Award of Department of Biotechnology, Min. of Science and Technology, Govt. of India. Dr. Saxena is a fellow of various international societies/academies including the Royal College of Pathologists, United Kingdom; Royal Society of Medicine, London; Royal Society of Biology, United Kingdom; Royal Society of Chemistry, London; and Academy of Translational Medicine Professionals, Austria. He was named a Global Leader in Science by The Scientist. He is also an international opinion leader/expert in vaccination for Japanese encephalitis by IPIC (UK).",institutionString:"King George's Medical University",institution:{name:"King George's Medical University",country:{name:"India"}}},{id:"94928",title:"Dr.",name:"Takuo",middleName:null,surname:"Mizukami",slug:"takuo-mizukami",fullName:"Takuo Mizukami",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/94928/images/6402_n.jpg",biography:null,institutionString:null,institution:{name:"National Institute of Infectious Diseases",country:{name:"Japan"}}},{id:"233433",title:"Dr.",name:"Yulia",middleName:null,surname:"Desheva",slug:"yulia-desheva",fullName:"Yulia Desheva",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/233433/images/system/233433.png",biography:"Dr. Yulia Desheva is a leading researcher at the Institute of Experimental Medicine, St. Petersburg, Russia. She is a professor in the Stomatology Faculty, St. Petersburg State University. She has expertise in the development and evaluation of a wide range of live mucosal vaccines against influenza and bacterial complications. Her research interests include immunity against influenza and COVID-19 and the development of immunization schemes for high-risk individuals.",institutionString:'Federal State Budgetary Scientific Institution "Institute of Experimental Medicine"',institution:null},{id:"238958",title:"Mr.",name:"Atamjit",middleName:null,surname:"Singh",slug:"atamjit-singh",fullName:"Atamjit Singh",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/238958/images/6575_n.jpg",biography:null,institutionString:null,institution:null},{id:"333753",title:"Dr.",name:"Rais",middleName:null,surname:"Ahmed",slug:"rais-ahmed",fullName:"Rais Ahmed",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/333753/images/20168_n.jpg",biography:null,institutionString:null,institution:null},{id:"252058",title:"M.Sc.",name:"Juan",middleName:null,surname:"Sulca",slug:"juan-sulca",fullName:"Juan Sulca",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/252058/images/12834_n.jpg",biography:null,institutionString:null,institution:null},{id:"191392",title:"Dr.",name:"Marimuthu",middleName:null,surname:"Govindarajan",slug:"marimuthu-govindarajan",fullName:"Marimuthu Govindarajan",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/191392/images/5828_n.jpg",biography:"Dr. M. Govindarajan completed his BSc degree in Zoology at Government Arts College (Autonomous), Kumbakonam, and MSc, MPhil, and PhD degrees at Annamalai University, Annamalai Nagar, Tamil Nadu, India. He is serving as an assistant professor at the Department of Zoology, Annamalai University. His research interests include isolation, identification, and characterization of biologically active molecules from plants and microbes. He has identified more than 20 pure compounds with high mosquitocidal activity and also conducted high-quality research on photochemistry and nanosynthesis. He has published more than 150 studies in journals with impact factor and 2 books in Lambert Academic Publishing, Germany. He serves as an editorial board member in various national and international scientific journals.",institutionString:null,institution:null},{id:"274660",title:"Dr.",name:"Damodar",middleName:null,surname:"Paudel",slug:"damodar-paudel",fullName:"Damodar Paudel",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/274660/images/8176_n.jpg",biography:"I am DrDamodar Paudel,currently working as consultant Physician in Nepal police Hospital.",institutionString:null,institution:null},{id:"241562",title:"Dr.",name:"Melvin",middleName:null,surname:"Sanicas",slug:"melvin-sanicas",fullName:"Melvin Sanicas",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/241562/images/6699_n.jpg",biography:null,institutionString:null,institution:null},{id:"337446",title:"Dr.",name:"Maria",middleName:null,surname:"Zavala-Colon",slug:"maria-zavala-colon",fullName:"Maria Zavala-Colon",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Puerto Rico, Medical Sciences Campus",country:{name:"United States of America"}}},{id:"338856",title:"Mrs.",name:"Nur Alvira",middleName:null,surname:"Pascawati",slug:"nur-alvira-pascawati",fullName:"Nur Alvira Pascawati",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Universitas Respati Yogyakarta",country:{name:"Indonesia"}}},{id:"441116",title:"Dr.",name:"Jovanka M.",middleName:null,surname:"Voyich",slug:"jovanka-m.-voyich",fullName:"Jovanka M. Voyich",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Montana State University",country:{name:"United States of America"}}},{id:"330412",title:"Dr.",name:"Muhammad",middleName:null,surname:"Farhab",slug:"muhammad-farhab",fullName:"Muhammad Farhab",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Agriculture Faisalabad",country:{name:"Pakistan"}}},{id:"349495",title:"Dr.",name:"Muhammad",middleName:null,surname:"Ijaz",slug:"muhammad-ijaz",fullName:"Muhammad Ijaz",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Veterinary and Animal Sciences",country:{name:"Pakistan"}}}]}},subseries:{item:{id:"26",type:"subseries",title:"Machine Learning and Data Mining",keywords:"Intelligent Systems, Machine Learning, Data Science, Data Mining, Artificial Intelligence",scope:"The scope of machine learning and data mining is immense and is growing every day. It has become a massive part of our daily lives, making predictions based on experience, making this a fascinating area that solves problems that otherwise would not be possible or easy to solve. This topic aims to encompass algorithms that learn from experience (supervised and unsupervised), improve their performance over time and enable machines to make data-driven decisions. It is not limited to any particular applications, but contributions are encouraged from all disciplines.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/26.jpg",hasOnlineFirst:!0,hasPublishedBooks:!0,annualVolume:11422,editor:{id:"24555",title:"Dr.",name:"Marco Antonio",middleName:null,surname:"Aceves Fernandez",slug:"marco-antonio-aceves-fernandez",fullName:"Marco Antonio Aceves Fernandez",profilePictureURL:"https://mts.intechopen.com/storage/users/24555/images/system/24555.jpg",biography:"Dr. Marco Antonio Aceves Fernandez obtained his B.Sc. (Eng.) in Telematics from the Universidad de Colima, Mexico. He obtained both his M.Sc. and Ph.D. from the University of Liverpool, England, in the field of Intelligent Systems. He is a full professor at the Universidad Autonoma de Queretaro, Mexico, and a member of the National System of Researchers (SNI) since 2009. Dr. Aceves Fernandez has published more than 80 research papers as well as a number of book chapters and congress papers. He has contributed in more than 20 funded research projects, both academic and industrial, in the area of artificial intelligence, ranging from environmental, biomedical, automotive, aviation, consumer, and robotics to other applications. He is also a honorary president at the National Association of Embedded Systems (AMESE), a senior member of the IEEE, and a board member of many institutions. 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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. 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Thus proteomics, an area of research that detects all protein forms expressed in an organism, including splice isoforms and post-translational modifications, is more suitable than genomics for a comprehensive understanding of the biochemical processes that govern life. The most common proteomics applications are currently in the clinical field for the identification, in a variety of biological matrices, of biomarkers for diagnosis and therapeutic intervention of disorders. From the comparison of proteomic profiles of control and disease or different physiological states, which may emerge, changes in protein expression can provide new insights into the roles played by some proteins in human pathologies. Understanding how proteins function and interact with each other is another goal of proteomics that makes this approach even more intriguing. Specialized technology and expertise are required to assess the proteome of any biological sample. Currently, proteomics relies mainly on mass spectrometry (MS) combined with electrophoretic (1 or 2-DE-MS) and/or chromatographic techniques (LC-MS/MS). MS is an excellent tool that has gained popularity in proteomics because of its ability to gather a complex body of information such as cataloging protein expression, identifying protein modification sites, and defining protein interactions. 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