Values of
\\n\\n
Released this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\\n\\nWe wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
Note: Edited in March 2021
\\n"}]',published:!0,mainMedia:{caption:"Highly Cited",originalUrl:"/media/original/117"}},components:[{type:"htmlEditorComponent",content:'IntechOpen is proud to announce that 191 of our authors have made the Clarivate™ Highly Cited Researchers List for 2020, ranking them among the top 1% most-cited.
\n\nThroughout the years, the list has named a total of 261 IntechOpen authors as Highly Cited. Of those researchers, 69 have been featured on the list multiple times.
\n\n\n\nReleased this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\n\nWe wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
Note: Edited in March 2021
\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:"6972",leadTitle:null,fullTitle:"Soybean for Human Consumption and Animal Feed",title:"Soybean for Human Consumption and Animal Feed",subtitle:null,reviewType:"peer-reviewed",abstract:"Soybean is the main oilseed crop worldwide, a staple crop for protein-rich food and feed as well as a significant source of nutraceutical compounds with many different medical benefits. Soybean for Human Consumption and Animal Feed highlights the state of research in soybean nutritional attributes as well as science-based approaches defining the future of soybean for human consumption and animal feed. Over seven chapters, this book presents a comprehensive picture of the potential of soybean for human and animal diets and health as well as quality stock for pharmaceutical and functional food industries with an emphasis on the importance of genetic improvement of soybean germplasm in enhancing healthy and safe properties of final soy products.",isbn:"978-1-83881-019-1",printIsbn:"978-1-83881-018-4",pdfIsbn:"978-1-83881-020-7",doi:"10.5772/intechopen.73719",price:119,priceEur:129,priceUsd:155,slug:"soybean-for-human-consumption-and-animal-feed",numberOfPages:160,isOpenForSubmission:!1,isInWos:1,isInBkci:!1,hash:"4bc6f95dc8630c9a8be84bb46286c445",bookSignature:"Aleksandra Sudarić",publishedDate:"December 2nd 2020",coverURL:"https://cdn.intechopen.com/books/images_new/6972.jpg",numberOfDownloads:5221,numberOfWosCitations:13,numberOfCrossrefCitations:9,numberOfCrossrefCitationsByBook:2,numberOfDimensionsCitations:25,numberOfDimensionsCitationsByBook:2,hasAltmetrics:1,numberOfTotalCitations:47,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"June 5th 2019",dateEndSecondStepPublish:"December 25th 2019",dateEndThirdStepPublish:"February 23rd 2020",dateEndFourthStepPublish:"May 13th 2020",dateEndFifthStepPublish:"July 12th 2020",currentStepOfPublishingProcess:5,indexedIn:"1,2,3,4,5,6",editedByType:"Edited by",kuFlag:!1,featuredMarkup:null,editors:[{id:"21485",title:"Dr.",name:"Aleksandra",middleName:null,surname:"Sudarić",slug:"aleksandra-sudaric",fullName:"Aleksandra Sudarić",profilePictureURL:"https://mts.intechopen.com/storage/users/21485/images/system/21485.jpg",biography:"Dr. Aleksandra Sudarić was born in Osijek, Croatia. She received an MSc in Plant Genetics and Breeding in 1996 from the University of Zagreb and a PhD in Plant Breeding in 1999 from the University of Osijek. Dr. Sudarić is a senior research scientist at the Agricultural Institute Osijek (Croatia), Department for Breeding and Genetics of Industrial Plants where she studies the breeding and seed production of soybean. She is presently coordinator of the soybean breeding program at the Institute. In addition, she completed the training for application of DNA-based marker technology at the University of Guelph in Guelph (Canada). Her main research interests are in the genetic improvement of quantity and quality characteristics of soybean and soybean adaptation to mega-environments. Dr. Sudarić has authored more than 100 papers (scientific, professional, and popular), several book chapters, books, and manuscripts about soybean as well as developed twenty-six soybean varieties.",institutionString:"Agricultural Institute Osijek",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"4",totalChapterViews:"0",totalEditedBooks:"2",institution:{name:"Agricultural Institute Osijek",institutionURL:null,country:{name:"Croatia"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"36",title:"Food Science",slug:"food-science"}],chapters:[{id:"73415",title:"Introductory Chapter: Soybean - Quality and Utilization",doi:"10.5772/intechopen.93942",slug:"introductory-chapter-soybean-quality-and-utilization",totalDownloads:525,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:null,signatures:"Aleksandra Sudarić",downloadPdfUrl:"/chapter/pdf-download/73415",previewPdfUrl:"/chapter/pdf-preview/73415",authors:[{id:"21485",title:"Dr.",name:"Aleksandra",surname:"Sudarić",slug:"aleksandra-sudaric",fullName:"Aleksandra Sudarić"}],corrections:null},{id:"69396",title:"Soybean Amino Acids in Health, Genetics, and Evaluation",doi:"10.5772/intechopen.89497",slug:"soybean-amino-acids-in-health-genetics-and-evaluation",totalDownloads:1340,totalCrossrefCites:0,totalDimensionsCites:6,hasAltmetrics:1,abstract:"Soybean is an important source of protein and amino acids for humans and livestock because of its well-balanced amino acid profile. This chapter outlines the strengths and weaknesses of soybean as a complete amino acid source as well as the relative importance of individual amino acids. Special attention is paid to the sulfur-containing amino acids, methionine and cysteine. Breeding and genetic engineering efforts are summarized to highlight previous accomplishments in amino acid improvement and potential avenues for future research. Agronomic properties and processing methods that affect amino acid levels in soybean food and feed are also explained. A brief introduction into current amino acid evaluation techniques is provided. By understanding the complexities of amino acids in soybean, protein quality for humans and livestock can be maximized.",signatures:"William Monte Singer, Bo Zhang, M.A. Rouf Mian and Haibo Huang",downloadPdfUrl:"/chapter/pdf-download/69396",previewPdfUrl:"/chapter/pdf-preview/69396",authors:[{id:"308970",title:"Mr.",name:"William",surname:"Singer",slug:"william-singer",fullName:"William Singer"},{id:"309005",title:"Dr.",name:"Bo",surname:"Zhang",slug:"bo-zhang",fullName:"Bo Zhang"},{id:"310776",title:"Dr.",name:"M.A. Rouf",surname:"Mian",slug:"m.a.-rouf-mian",fullName:"M.A. Rouf Mian"},{id:"310777",title:"Dr.",name:"Haibo",surname:"Huang",slug:"haibo-huang",fullName:"Haibo Huang"}],corrections:null},{id:"69807",title:"Improving Seed Quality of Soybean Suitable for Growing in Europe",doi:"10.5772/intechopen.89922",slug:"improving-seed-quality-of-soybean-suitable-for-growing-in-europe",totalDownloads:990,totalCrossrefCites:3,totalDimensionsCites:7,hasAltmetrics:0,abstract:"The potential of soybean for food, feed, and pharmaceutical industry arises from the composition of its seed. Since European countries import 95% of the annual demand for soybean grains, meal, and oil, causing an enormous trade deficit, the governments in Europe had started to introduce additional incentives to stimulate soybean cropping. To rebalance the sources of soybean supply in the future, production must be followed by continuous research to create varieties that would make European soybean more appealing to the processing industry and profitable enough to satisfy European farmers. This chapter is giving an overview of the European soybean seed quality research and an insight into soybean seed quality progress made at the Agricultural Institute Osijek, Croatia. The studies presented are mainly considering maturity groups suitable for growing in almost all European regions. The most important traits of soybean seed quality discussed are protein content and amino acid composition, oil content and fatty acid composition, soluble sugars, and isoflavones. Defining quality traits facilitates the parental selection in breeding programs aiming to improve the added value properties of final soybean products and enables the exchange of materials between different breeding and research institutions to introduce diversity, which is a prerequisite for genetic advance.",signatures:"Aleksandra Sudarić, Maja Matoša Kočar, Tomislav Duvnjak, Zvonimir Zdunić and Antonela Markulj Kulundžić",downloadPdfUrl:"/chapter/pdf-download/69807",previewPdfUrl:"/chapter/pdf-preview/69807",authors:[{id:"21485",title:"Dr.",name:"Aleksandra",surname:"Sudarić",slug:"aleksandra-sudaric",fullName:"Aleksandra Sudarić"},{id:"311324",title:"Dr.",name:"Maja",surname:"Matoša Kočar",slug:"maja-matosa-kocar",fullName:"Maja Matoša Kočar"},{id:"311331",title:"Dr.",name:"Tomislav",surname:"Duvnjak",slug:"tomislav-duvnjak",fullName:"Tomislav Duvnjak"},{id:"311332",title:"Dr.",name:"Zvonimir",surname:"Zdunić",slug:"zvonimir-zdunic",fullName:"Zvonimir Zdunić"},{id:"311333",title:"Dr.",name:"Antonela",surname:"Markulj Kulundžić",slug:"antonela-markulj-kulundzic",fullName:"Antonela Markulj Kulundžić"}],corrections:null},{id:"72688",title:"Respiratory Health Risks from Exposure to Dust from Soybean and Its Products",doi:"10.5772/intechopen.92839",slug:"respiratory-health-risks-from-exposure-to-dust-from-soybean-and-its-products",totalDownloads:755,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:1,abstract:"Soybean and its processed forms have become an increasingly important part of agriculture, where they are widely used as an animal feedstuff and in an extensive range of human food products. This entails transportation from producer countries, largely the USA and South America, to importer destinations such as the EU and China. Soya is recognised as a dietary allergen, containing a number of identified allergenic proteins. Inhaled soya dust generated by occupational activities also causes respiratory health problems. Reports of “asthma epidemics” in harbour cities identified ill health in the community but were related to occupational activities of unloading/loading bulk soya without appropriate dust control measures. Inhaled allergens in already-sensitised individuals can cause a range of allergic symptoms in the eyes, nose, and respiratory tract, including occupational asthma (OA). Soybean dust can also cause health problems related to lung irritancy. Endotoxin and fungal contamination associated with soya are also potential respiratory hazards. This chapter reviews published data on ill health and symptoms from airborne exposure to allergens in dust from soybean and derivative products and the levels of exposure to dust and major allergens from a range of occupational activities. Other potential health hazards associated with soybean, such as endotoxin and fungal contamination, are also highlighted.",signatures:"Howard J. Mason",downloadPdfUrl:"/chapter/pdf-download/72688",previewPdfUrl:"/chapter/pdf-preview/72688",authors:[{id:"317237",title:"Dr.",name:"Howard",surname:"Mason",slug:"howard-mason",fullName:"Howard Mason"}],corrections:null},{id:"72429",title:"The Potential Impacts of Soy Protein on Fish Gut Health",doi:"10.5772/intechopen.92695",slug:"the-potential-impacts-of-soy-protein-on-fish-gut-health",totalDownloads:592,totalCrossrefCites:6,totalDimensionsCites:12,hasAltmetrics:1,abstract:"Soy protein is the major source of protein as fishmeal replacement in fish feed because of its worldwide availability and low price. However, the presence of high carbohydrate content along with saponins, lectins, and phytates can have a negative impact on fish gut health. Based on the literature and our lab studies, dietary soybean meal can cause a dose-dependent type of distal intestine inflammation called enteritis in commercial fish species including salmonids. This leads to reduced absorptive capacity, increased mucus secretion, hyperpermeability, and leucocyte infiltration in the lamina propria and submucosa, also inducing the pro-inflammatory cytokine genes expression, including Il-1β, Il-8, and Tnf-α. In addition, dietary soy may alter the composition and population of the gut microbiota via providing nutrients and energy that preferentially support the growth of some gut bacteria. This chapter summarizes the current knowledge of the effects of soy protein on the enteritis and gut microbiota.",signatures:"Vikas Kumar, Md. Sakhawat Hossain, Janice A. Ragaza and Marina Rubio Benito",downloadPdfUrl:"/chapter/pdf-download/72429",previewPdfUrl:"/chapter/pdf-preview/72429",authors:[{id:"310392",title:"Prof.",name:"Vikas",surname:"Kumar",slug:"vikas-kumar",fullName:"Vikas Kumar"},{id:"310393",title:"MSc.",name:"Marina",surname:"Benito",slug:"marina-benito",fullName:"Marina Benito"},{id:"318034",title:"Dr.",name:"Md. Sakhawat",surname:"Hossain",slug:"md.-sakhawat-hossain",fullName:"Md. Sakhawat Hossain"},{id:"318035",title:"Dr.",name:"Janice",surname:"Ragaza",slug:"janice-ragaza",fullName:"Janice Ragaza"}],corrections:null},{id:"68701",title:"Nondestructive Evaluation of Inoculation Effects of AMF and Bradyrhizobium japonicum on Soybean under Drought Stress From Reflectance Spectroscopy",doi:"10.5772/intechopen.88673",slug:"nondestructive-evaluation-of-inoculation-effects-of-amf-and-em-bradyrhizobium-japonicum-em-on-soybea",totalDownloads:574,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"Precise estimation of leaf chlorophyll content (LCC) and leaf water content (LWC) of soybean, using remote sensing technology, provides a new avenue for the nondestructive evaluation of inoculation effects of arbuscular mycorrhizal fungi (AMF) and Bradyrhizobium japonicum (BJ) on soybean growth condition. In this study, a series of pot experiments were conducted in the greenhouse, soybean inoculated with Glomus intraradices (G.i, one of AMF species), G.i and BJ, and non-inoculation were planted under drought stress (DS) and normal irrigation (NI) conditions. Leaf spectra and LCC and LWC were measured on the 28th and 56th days after inoculation. Two new simple ratio (SR) indices, derived from the first derivative spectral reflectance at λ1 nm (Dλ1) and the raw spectral reflectance at λ2 nm (Rλ2), were developed to estimate LCC and LWC. The results indicate that under DS, plants inoculated with G.i had higher LCC and LWC than the non-inoculated plants, followed by the counterparts co-inoculated with G.i and BJ. Linear estimation models, established by the D650/Rred edge and D1680/R680, achieved great improved accuracy for quantifying LCC and LWC of soybean under inoculation and drought stress treatments, with determination of coefficient of 0.63 and 0.76, respectively.",signatures:"Weiping Kong, Yinli Bi, Wenjiang Huang, Lingli Tang, Chuanrong Li and Lingling Ma",downloadPdfUrl:"/chapter/pdf-download/68701",previewPdfUrl:"/chapter/pdf-preview/68701",authors:[{id:"247987",title:"Prof.",name:"Wenjiang",surname:"Huang",slug:"wenjiang-huang",fullName:"Wenjiang Huang"},{id:"250651",title:"Dr.",name:"Weiping",surname:"Kong",slug:"weiping-kong",fullName:"Weiping Kong"},{id:"308543",title:"Dr.",name:"Yinli",surname:"Bi",slug:"yinli-bi",fullName:"Yinli Bi"}],corrections:null},{id:"73649",title:"Soybean (Glycine max (L.) Merr.) Production in the Cameroonian Cotton Basin between the Dynamics of Structuring an Agricultural Value Chain and Sustainability Issues",doi:"10.5772/intechopen.93981",slug:"soybean-em-glycine-max-em-em-l-em-em-merr-em-production-in-the-cameroonian-cotton-basin-between-the-",totalDownloads:448,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"Over the past ten years, the Cameroonian cotton front, in the Sudano-Sahelian region, has experienced dynamics in soybean production, resulting in significant changes in agro-systems. From a simple hut culture not referenced in regional agricultural statistics, since 2010, soybean ranks 2nd in legumes cultivated after peanuts, followed by cowpea and voandzou, yet culturally and economically more adopted by the populations. The rapid development of cultivated areas from 6,705 ha in 2008 to 15,020 ha in 2018 is indicative of the enthusiasm shown by farmers for this speculation which, despite the almost lack of supervision on the part of public authorities, now structures a real value chain with challenges for improving farmers’ incomes, in a space where more than 80% of working people live from agricultural activities. The objective of this research is therefore to analyse the sustainability challenges of a productive and market dynamics built around speculation subject to strong demands of international competitiveness. 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Renna, Rodrigo Garcia, Jesica Ramirez and Roberto M.\nMiatello",authors:[{id:"192616",title:"Dr.",name:"Nicolás",middleName:null,surname:"Renna",fullName:"Nicolás Renna",slug:"nicolas-renna"},{id:"202536",title:"Dr.",name:"Rodrigo",middleName:"Damián",surname:"García",fullName:"Rodrigo García",slug:"rodrigo-garcia"},{id:"202537",title:"Dr.",name:"Jesica",middleName:null,surname:"Ramirez",fullName:"Jesica Ramirez",slug:"jesica-ramirez"},{id:"202539",title:"Dr.",name:"Roberto M.",middleName:null,surname:"Miatello",fullName:"Roberto M. Miatello",slug:"roberto-m.-miatello"}]},{id:"53018",title:"Tumor Angiogenesis: A Focus on the Role of Cancer Stem Cells",slug:"tumor-angiogenesis-a-focus-on-the-role-of-cancer-stem-cells",signatures:"Keiko Fujita and Masumi Akita",authors:[{id:"26281",title:"Prof.",name:"Masumi",middleName:null,surname:"Akita",fullName:"Masumi Akita",slug:"masumi-akita"},{id:"192582",title:"Dr.",name:"Keiko",middleName:null,surname:"Fujita",fullName:"Keiko Fujita",slug:"keiko-fujita"}]},{id:"53461",title:"VEGF-Mediated Signal Transduction in Tumor Angiogenesis",slug:"vegf-mediated-signal-transduction-in-tumor-angiogenesis",signatures:"Lucia Napione, Maria Alvaro and Federico Bussolino",authors:[{id:"193680",title:"Ph.D.",name:"Lucia",middleName:null,surname:"Napione",fullName:"Lucia Napione",slug:"lucia-napione"},{id:"196917",title:"Dr.",name:"Maria",middleName:null,surname:"Alvaro",fullName:"Maria Alvaro",slug:"maria-alvaro"},{id:"196992",title:"Prof.",name:"Federico",middleName:null,surname:"Bussolino",fullName:"Federico Bussolino",slug:"federico-bussolino"}]},{id:"54103",title:"Noncoding RNAs in Lung Cancer Angiogenesis",slug:"noncoding-rnas-in-lung-cancer-angiogenesis",signatures:"Ioana Berindan-Neagoe, Cornelia Braicu, Diana Gulei, Ciprian\nTomuleasa and George Adrian Calin",authors:[{id:"193102",title:"Dr.",name:"Ioana",middleName:null,surname:"Berindan-Neagoe",fullName:"Ioana Berindan-Neagoe",slug:"ioana-berindan-neagoe"},{id:"193316",title:"Dr.",name:"Cornelia",middleName:null,surname:"Braicu",fullName:"Cornelia Braicu",slug:"cornelia-braicu"},{id:"193317",title:"Dr.",name:"Ciprian",middleName:null,surname:"Tomuleasa",fullName:"Ciprian Tomuleasa",slug:"ciprian-tomuleasa"},{id:"193318",title:"BSc.",name:"Diana",middleName:null,surname:"Gulei",fullName:"Diana Gulei",slug:"diana-gulei"},{id:"193319",title:"Prof.",name:"George Adrian",middleName:null,surname:"Calin",fullName:"George Adrian Calin",slug:"george-adrian-calin"}]},{id:"53402",title:"Recent Advances in Angiogenesis Assessment Methods and their Clinical Applications",slug:"recent-advances-in-angiogenesis-assessment-methods-and-their-clinical-applications",signatures:"Imran Shahid, Waleed H. AlMalki, Mohammed W. AlRabia,\nMuhammad Ahmed, Mohammad T. Imam, Muhammed K. Saifullah\nand Muhammad H. Hafeez",authors:[{id:"188219",title:"Prof.",name:"Imran",middleName:null,surname:"Shahid",fullName:"Imran Shahid",slug:"imran-shahid"},{id:"191256",title:"Prof.",name:"Waleed",middleName:null,surname:"Almalki",fullName:"Waleed Almalki",slug:"waleed-almalki"},{id:"191259",title:"Dr.",name:"Muhammad",middleName:null,surname:"Hassan Hafeez",fullName:"Muhammad Hassan Hafeez",slug:"muhammad-hassan-hafeez"},{id:"195198",title:"Prof.",name:"Muhammad",middleName:null,surname:"Ahmed",fullName:"Muhammad Ahmed",slug:"muhammad-ahmed"},{id:"195199",title:"MSc.",name:"Muhammed",middleName:null,surname:"Saifullah",fullName:"Muhammed Saifullah",slug:"muhammed-saifullah"},{id:"195200",title:"Prof.",name:"Mohammad",middleName:null,surname:"Imam",fullName:"Mohammad Imam",slug:"mohammad-imam"},{id:"195201",title:"Prof.",name:"Mohammed",middleName:null,surname:"Al Rabia",fullName:"Mohammed Al Rabia",slug:"mohammed-al-rabia"}]},{id:"53313",title:"Novel Methods to Study Angiogenesis Using Tissue Explants",slug:"novel-methods-to-study-angiogenesis-using-tissue-explants",signatures:"Tomoko Takahashi, Keiko Fujita and Masumi Akita",authors:[{id:"26281",title:"Prof.",name:"Masumi",middleName:null,surname:"Akita",fullName:"Masumi Akita",slug:"masumi-akita"},{id:"192582",title:"Dr.",name:"Keiko",middleName:null,surname:"Fujita",fullName:"Keiko Fujita",slug:"keiko-fujita"},{id:"192585",title:"MSc.",name:"Tomoko",middleName:null,surname:"Takahashi",fullName:"Tomoko Takahashi",slug:"tomoko-takahashi"}]},{id:"53219",title:"Therapeutic Angiogenesis: Foundations and Practical Application",slug:"therapeutic-angiogenesis-foundations-and-practical-application",signatures:"Pavel Igorevich Makarevich and Yelena Viktorovna Parfyonova",authors:[{id:"75221",title:"Prof.",name:"Yelena",middleName:null,surname:"Parfyonova",fullName:"Yelena Parfyonova",slug:"yelena-parfyonova"},{id:"192434",title:"Dr.",name:"Pavel",middleName:null,surname:"Makarevich",fullName:"Pavel Makarevich",slug:"pavel-makarevich"}]},{id:"53828",title:"Platelet Lysate to Promote Angiogenic Cell Therapies",slug:"platelet-lysate-to-promote-angiogenic-cell-therapies",signatures:"Scott T. Robinson and Luke P. Brewster",authors:[{id:"193297",title:"Dr.",name:"Luke",middleName:null,surname:"Brewster",fullName:"Luke Brewster",slug:"luke-brewster"},{id:"193532",title:"Dr.",name:"Scott",middleName:null,surname:"Robinson",fullName:"Scott Robinson",slug:"scott-robinson"}]},{id:"53483",title:"Anti-VEGF Therapy in Cancer: A Double-Edged Sword",slug:"anti-vegf-therapy-in-cancer-a-double-edged-sword",signatures:"Victor Gardner, Chikezie O. Madu and Yi Lu",authors:[{id:"40915",title:"Dr.",name:"Yi",middleName:null,surname:"Lu",fullName:"Yi Lu",slug:"yi-lu"},{id:"195224",title:"Mr.",name:"Victor",middleName:null,surname:"Gardner",fullName:"Victor Gardner",slug:"victor-gardner"},{id:"195226",title:"Dr.",name:"Chikezie",middleName:null,surname:"Madu",fullName:"Chikezie Madu",slug:"chikezie-madu"}]},{id:"53575",title:"Antiangiogenic Therapy for Hepatocellular Carcinoma",slug:"antiangiogenic-therapy-for-hepatocellular-carcinoma",signatures:"Kosuke Kaji and Hitoshi Yoshiji",authors:[{id:"192883",title:"Dr.",name:"Kosuke",middleName:null,surname:"Kaji",fullName:"Kosuke Kaji",slug:"kosuke-kaji"},{id:"195636",title:"Prof.",name:"Hitoshi",middleName:null,surname:"Yoshiji",fullName:"Hitoshi Yoshiji",slug:"hitoshi-yoshiji"}]},{id:"53335",title:"MCAM and its Isoforms as Novel Targets in Angiogenesis Research and Therapy",slug:"mcam-and-its-isoforms-as-novel-targets-in-angiogenesis-research-and-therapy",signatures:"Jimmy Stalin, Lucie Vivancos, Nathalie Bardin, Françoise Dignat-\nGeorge and Marcel Blot-Chabaud",authors:[{id:"192897",title:"Dr.",name:"Jimmy",middleName:null,surname:"Stalin",fullName:"Jimmy Stalin",slug:"jimmy-stalin"},{id:"195979",title:"Ms.",name:"Lucie",middleName:null,surname:"Vivancos",fullName:"Lucie Vivancos",slug:"lucie-vivancos"},{id:"195980",title:"Prof.",name:"Nathalie",middleName:null,surname:"Bardin",fullName:"Nathalie Bardin",slug:"nathalie-bardin"},{id:"195981",title:"Prof.",name:"Francoise",middleName:null,surname:"Dignat-George",fullName:"Francoise Dignat-George",slug:"francoise-dignat-george"},{id:"195982",title:"Dr.",name:"Marcel",middleName:null,surname:"Blot-Chabaud",fullName:"Marcel Blot-Chabaud",slug:"marcel-blot-chabaud"}]}]}],publishedBooks:[{type:"book",id:"2038",title:"Coronary Artery Disease",subtitle:"Current Concepts in Epidemiology, Pathophysiology, Diagnostics and Treatment",isOpenForSubmission:!1,hash:"55361f89e408a849c1153253684afe45",slug:"coronary-artery-disease-current-concepts-in-epidemiology-pathophysiology-diagnostics-and-treatment",bookSignature:"David Gaze",coverURL:"https://cdn.intechopen.com/books/images_new/2038.jpg",editedByType:"Edited by",editors:[{id:"71983",title:"Dr.",name:"David C.",surname:"Gaze",slug:"david-c.-gaze",fullName:"David C. 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Gaze"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"266",title:"Advances in the Diagnosis of Coronary Atherosclerosis",subtitle:null,isOpenForSubmission:!1,hash:"d1b79102630c8528027d0f1f92042d32",slug:"advances-in-the-diagnosis-of-coronary-atherosclerosis",bookSignature:"Suna F. Kiraç",coverURL:"https://cdn.intechopen.com/books/images_new/266.jpg",editedByType:"Edited by",editors:[{id:"51494",title:"Prof.",name:"Suna",surname:"Kirac",slug:"suna-kirac",fullName:"Suna Kirac"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}],publishedBooksByAuthor:[{type:"book",id:"638",title:"Acute Coronary Syndromes",subtitle:null,isOpenForSubmission:!1,hash:"8547f825b8a052fc1ddea251e4531f81",slug:"acute-coronary-syndromes",bookSignature:"Mariano E. Brizzio",coverURL:"https://cdn.intechopen.com/books/images_new/638.jpg",editedByType:"Edited by",editors:[{id:"58249",title:"Dr.",name:"Mariano",surname:"Brizzio",slug:"mariano-brizzio",fullName:"Mariano Brizzio"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}]},onlineFirst:{chapter:{type:"chapter",id:"80010",title:"Phase Transitions and Structure of Liquid Crystalline Cellulose Ether Solutions in a Magnetic Field and in Its Absence",doi:"10.5772/intechopen.101451",slug:"phase-transitions-and-structure-of-liquid-crystalline-cellulose-ether-solutions-in-a-magnetic-field-",body:'Matter can exist in the following phase states: crystalline, amorphous (liquid), gaseous, and liquid crystalline. The substances in the different phase states exhibit the different spatial arrangements of structural elements (molecules, atoms, ions).
The crystalline phase state is characterized by a three-dimensional long-range order in arrangement of atoms or molecules. Long-range orientational order is an order observed over distances hundreds and thousands of times larger than the size of the molecules and can exist in one, two, or three dimensions.
The amorphous phase state (liquid phase state) is characterized by a short-range orientational order, i.e., an order observed over distances commensurate with molecular size. In the vicinity of any given molecule, its neighbors can be ordered but at a small distance from the molecule. The amorphous phase state is attributed to all liquids (excluding mercury) as well as glass and other solid noncrystalline substances.
In a gaseous phase state, there is no order in the spatial arrangement of structural elements.
The term “liquid crystal” is a contradiction in itself. The crystals are considered to be anisotropic solids showing usually very low deformations even under high mechanical stress. On the other hand, the fluids are able to flow, and they exhibit isotropic optical properties. Meanwhile, over a hundred years ago, it was found [1] that some organic substances in melt, that is they are able to flow, exhibit anisotropic optical properties (birefringence). Such a substance was first described in 1888 by F. Reinitzer [2], Professor of the Botanic School of Graz University of Technology (Austria). He examined the physiological activity of cholesterol, the chemical formula for which had not yet been determined. In the course of his studies, F. Reinitzer synthesized cholesterol derivatives and determined their melting temperatures. He found that cholesteryl benzoate under melting at 145.5°C turned into a cloudy liquid and after further heating, turned into transparent melt at 178.5°C. The refractive indices of the cloudy melt measured in two perpendicular directions were different, which proved its anisotropic properties. Therefore, F. Reinitzer assumed that the turbid melt included two substances. F. Reinitzer tried to separate the substances, but he could not, and so he sent a cholesteryl benzoate sample for examination to physicist, Prof. Lehmann, who lived in Dresden. Prof. Lehmann examined the sample with a polarizing microscope and concluded that the turbid melt did not comprise two different liquids but presented a single liquid crystal [3]. Thus, it was Lehmann who introduced the term “liquid crystal.” In 1890, he discovered liquid crystals of ammonium oleate, para-azoxyanisole, and para-azoxyphenetole.
The nature of a liquid crystalline (LC) phase state is as follows: some substances, as soon as they reach the temperature at which the three-dimensional lattice disintegrates, do not exhibit the direct transition to isotropic liquid but hold intermolecular order. In LC systems the order is not three-dimensional but, according to Gray, one- or two-dimensional, i.e., the regularity is partially destroyed, but the long-range orientational order always remains in one or two directions. Such behavior determines, on the one hand, an essential fluidity (ability for irreversible deformation) and, on the other hand, a demonstration of anisotropic physical properties in contrast to liquids possessing a short-range order.
Further detailed study of LC substances revealed that the crystal-liquid crystalline transition and consequent liquid crystalline-liquid (amorphous) transition are phase transitions of the first order and that the liquid crystals are in a special phase state, which is neither conventional crystalline nor amorphous phase state.
Liquid crystalline state is a thermodynamically stable phase state at which the matter exhibits the stable anisotropic physical properties of crystalline solids and the fluidity typical for liquids [4].
As liquid crystal exists between crystalline and amorphous phase states, it is called “mesomorphic phase” (“mesos” in Greek means middle, intermediate). The term “mesomorphic phase” or “mesophase” was introduced by Friedel in 1922.
The majority of liquid crystals have an enantiotropic mesophase, i.e., they appear upon both the melting of a crystalline solid and the cooling of a melt. However, some liquid crystals possess a monotropic mesophase appearing only upon cooling [5].
The main cause of matter transition to a liquid crystalline phase state, as soon as the melting point is achieved, is the asymmetric molecule structure. All matters demonstrating the transition to mesophase consist of the elongated molecules. At
As mentioned above, the liquid crystalline systems demonstrate one- and two-dimensional orders [1]. A one-dimensional order of molecules means only a long-range orientation order along the molecule axes (Figure 1).
Nematic mesophase [
The gravity center of individual molecules is not coordinated relative to each other, and molecules can have a casual azimuthal deviation from the main axis. Such a structure is called nematic. Nematic systems are the first type of liquid crystal. For example,
The patterns of so-called cholesteric systems are more ordered in comparison to nematic liquid crystals (Figure 2).
Cholesteric mesophase [
Their structure is a combination of parallel nematic layers where the direction of axes of molecules within each following layer is turned on a certain angle concerning the direction of molecule axes in the previous layer. Thus, a helix appears with a pitch that can be of several hundreds of nanometers. The equidistant arrangement of parallel layers and constant helix pitch allow the formal classification of this type of structure as two-dimensional; however, the molecule orientation within the layers is of a nematic nature due to which the cholesteric liquid crystals are sometimes referred to as a variant of the nematic phase. The cholesteric liquid crystals are so called because they are the complex esters of cholesterol, mainly:
where R is the residue of relevant acid. But the complex esters of cholesterol are not the only representatives of cholesteric structure. A cholesteric mesophase is characteristic to other compounds, for example, 4′-(4-methoxybenzyl idenamin)aril cinnamate over a range of temperatures from 82 to 102°C [5]:
All such compounds contain asymmetric (chiral) atoms of carbon. Chiral properties give rise to the formation of a cholesteric mesophase. If the mesogenic compound is able to form a nematic phase and its molecules are chiral, then a cholesteric mesophase appears. This is proved by the fact that an addition to the nematic of a small amount of the cholesteric or chiral compound, which is not mesogenic, transfers the latter to the cholesteric. It should be noted that when changing the external conditions, the helix pitch may alter by discrete quantities up to infinity. Under such conditions, the cholesteric liquid crystal-nematic liquid crystalline transition is observed.
The smectic liquid crystals are the most ordered. They represent two-dimensional liquid crystals: the centers of molecule mass are located in layers, but the director
Smectic A mesophase [
These liquid crystals are usually referred to smectic A, which is the most commonly found among smectic liquid crystals. The typical example of A smectic is ethyl ester of n-nitrooxybenzoic acid (ENB) [5]:
within temperatures from 114 to 120°C.
The thickness of layers is usually equal to the length of molecules of mesogen and the majority of the smectics exhibits such property. But for some smectics, the layer thickness is less than the molecular length or exceeds it. This is determined by the peculiarities of molecular structure.
For example, the layer thickness of 4-cyano-4′-
exceeds the molecule length by 1.4 times. In this case, a double-layered structure seems to exist and as such molecules within one layer enter the gaps between the molecules of the other layer.
The smectics with non-ordered layers are called
Smectic
They are commonly classified into smectic
within the temperatures from 114.1 to 172.5°C, where the smectic
In such structures, the director processes around the cone from one layer to the next. Such a structure is similar to cholesteric.
Liquid crystals appearing upon cooling or heating by individual matters are called thermotropic. Liquid crystals resulting from the dissolution of matters are called lyotropic.
In [4], the mesogenic compounds are classified into the following groups based on their chemical structure:
aromatic compounds without bridge groups;
heteroaromatic compounds without bridge groups;
aromatic compounds with one bridge group;
aromatic compounds with several similar bridge groups;
aromatic compounds with different bridge groups;
stilbene, amides of carbon acid, derivatives of hydrazine and glyoxal;
aromatic carbon acids;
carbonic acid salts and ammonium salts;
alicyclic and aliphatic compounds.
Following the above classification, the various chemical fragments used in synthesis of mesogenic compounds are listed below (
often used:
seldom used:
If one and the same substance has both nematic and smectic phases, the temperature of a smectic phase is always lower than the temperature of a nematic phase. Upon heating or cooling of the matter with the symmetrical molecules, the phase transitions from crystalline solids (CS) to isotropic liquids (IL) occur according to the scheme:
Transition temperatures are repeatable and reversible in case of enantiotropic transitions. Matters with optically active molecules exhibit the phase transitions according to the following scheme:
The specifics of polymers include both nonequilibrium states and manifestations of features, typical of an LC state, when the polymer is in an amorphous but not in a mesomorphous state. The majority of flexible chain polymers are subjected to orientational stretching during their manufacturing. If this is followed by a glass transition of the polymer system, the orientational order remains practically infinitely long. The resulting structure is nonequilibrium since after prolonged heating and slow cooling down to the original temperature, the system exhibits a clear tendency to disorder through weakening anisotropic properties [1].
The difference in phase transitions between the low-molecular matters and polymers should be assumed not in the special thermodynamic behavior of mesophase but rather in the kinetics of these transformations. The higher speed of phase transitions in low-molecular systems is quite clear as well as the lower speed of such transformations in polymers. These general properties of polymer systems and transitions to LC state and especially the liquid crystalline-crystalline solid transition, such as direct amorphous-crystalline solid transition, can be accompanied by such long periods of induction that they are not comparable to internal observation.
It should be noted that the rigid-chain polymers that most probably form the liquid crystals due to the high geometric anisotropy of molecules melt at temperatures higher than the temperatures of their intensive thermal destruction. Thus, polymers (with few exceptions) are unlikely to produce thermotropic LC systems. Apparently, this allowed Ph.H. Geil to consider the formation of only lyotropic liquid crystals though at present, thermotropic high-molecular LC systems are also known; for example, the melt of polypropylene, hydroxypropyl cellulose, as well as system based on block copolymers [5, 6, 7, 8].
The appearance of a mesophase in polymer systems is caused by the following [1]:
The ordering caused by the interaction of rather long side groups (side chains) in polymers.
The ordering caused by the interaction of homogeneous sequences (blocks) in block соpolymers.
The ordering caused by the molecule rigidity. The distribution of rigid macromolecules in melts and solutions cannot be random. The polymer systems with rigid macromolecules exhibit a spontaneous transition to ordered states, which do not achieve a three-dimensional order; they are limited by the one- or two-dimensional order.
The degree of orientational order is mainly determined by the flexibility of macromolecules, which is measured by Khun’s segment
Polymer | |||
---|---|---|---|
Poly-γ-benzyl-l-glutamate | 240 | 33–330 | 0.88–0.38 |
Polybutyl isocyanate | 100 | 15–150 | 0.76–0.19 |
Poly-hlorohexyl isocyanate | 48 | 24–240 | 0.57–0.10 |
Poly-para-benzamide | 110 | 5.5–55 | 0.45–0.18 |
Poly-para-phenyleneterephthalamide | 65 | 5.5–55 | 0.46–0.13 |
Poly-para-amide-hydrazide | 45 | 5.5–55 | 0.39–0.09 |
Poly-meta-phenylenisophthalamide | 5 | 5.9–59 | 0.1–0.01 |
DNA | 90 | 58.3–583 | 0.72–0.17 |
Double-chain polyphenylensiloxan | 20 | 31–310 | 0.34–0.04 |
Cellulose nitrate | 23 | 17.3–173 | 0.37–0.05 |
Ethyl cellulose | 20 | 14–140 | 0.33–0.05 |
Cellulose phenylcarbanilate | 16 | 23–230 | 0.28–0.04 |
Polystyrene | 2 | 12–120 | 0.04–0.004 |
Polyethylene | 2 | 3.3–33 | 0.04–0.004 |
Polymethylmethacrylate | 2 | 12–120 | 0.04–0.004 |
Values of
Table 1 shows that with an increase in the flexibility of macromolecules (reduction of Khun’s segment size) and in the polymer molecular mass, the value of the intermolecular orientation order decreases. It is important to emphasize that the transitions of the rigid-chain polymers into the LC state usually occur in solutions rather than in melts.
Low-molecular-mass liquid crystals exhibit a good orientation in the magnetic and electric fields. In general, this is associated with the anisotropy of diamagnetic susceptibility Δχ or dielectric permittivity Δε parallel and perpendicular to the long axis of molecules. The molecules of LC substances are ordered so that the direction with the higher values of χ (or ε) is parallel to a vector of field intensity [1]. However, the behavior of polymer LC systems in the force fields has not been studied enough.
The theory of the interaction of diamagnetic macromolecules with a magnetic field is in the development stage [9, 10, 11, 12, 13]. If such a macromolecule is placed in a magnetic field, then the force acting on it will cause it to rotate. This is due to the magnetic anisotropy of the molecule, depending on the magnetic anisotropy of chemical bonds. In these systems, an orientation of chains proceeds cooperatively. The magnetic field leads to the orientation of macromolecular domains in a certain predominant direction that depends on the sign of diamagnetic susceptibility anisotropy ∆χM for this polymer. Domains are taken to mean the anisotropic associates of macromolecules. The diamagnetic moment appearing at the domain can be written as [9, 10]:
where V is domain volume, μ0 is a magnetic constant of vacuum, B is a vector of magnetic induction, ξ is an angle between the direction
Interaction of external magnetic field with the domain having the magnetic moment μ increases energy of magnetic field by value of Emag. Orientation is observed when
secondly, the volume of the particle must be greater than the critical value.
where μ0 is the magnetic constant of vacuum,
third, the medium should be low viscosity.
The influence of the magnetic field on the liquid crystals was studied by Mayer [14] and de Gennes [15]. They examined the behavior of a cholesteric liquid crystal under magnetic field and found that at the critical intensity
where
The theory has been checked for the lyotropic PBG liquid crystals in a number of solvents [16, 17]. According to Miller et al. [18], the molecules of liquid crystals are oriented parallel to the magnetic field lines. This orientation is related to the anisotropy of the magnetic susceptibility of molecules, which in turn is associated with the anisotropy of their structure. The effect of a magnetic field on the properties of polymer systems is discussed in [19, 20, 21, 22, 23, 24, 25, 26, 27, 28].
Since 2006, researchers of the Chair of Macromolecular Compounds, Ural State University investigate the effect of magnetic field on the phase transitions, structure and rheological properties of liquid crystalline solutions of cellulose ethers [12, 13, 29, 30, 31, 32, 33, 34, 35, 36].
A qualitative approach to examination of the solutions of rigid-chain polymers with rigid rod-shaped molecules reveals that an independent position (a random orientation) of each molecule is possible only in relatively diluted solutions. As the number of macromolecules in the given volume of solution increases, the probability of the random orientation of the rigid rod-shaped molecules decreases, and as soon as the polymer concentration reaches a certain critical value, the further increase in the number of molecules in the volume proves to be impossible without the relative ordering of part of them. Thus, it should be followed by separation in two phases, one of which exhibits ordered macromolecules and the other that ensures that molecules are randomly oriented relative to each other. As the concentration of polymer continues to increase, the share of the ordered phase grows, and eventually the system becomes one-phased again while all macromolecules are relatively ordered [1, 14, 29, 30, 31, 32, 33, 34, 35, 36, 37].
The first molecular theory of nematic ordering was offered by Onsager in 1949 [38] for a solution of long rigid cylindrical rod-shaped molecules of length
orientation order in solutions of long rigid rod-shaped molecules is a phase transition of the first order occurring at a low concentration of rod-shaped molecules in solution (φ2
at φ2 < φ2
order parameter
Another approach to solving the problem of LC ordering in the solution of rigid rod-shaped molecules was developed by Flory in 1956 based on the lattice theory of solutions [39]. He introduced the following equation to describe free energy change:
where φ1 and φ2 are the volume fractions of solvent and polymer, respectively;
As a result of the minimization of free energy of the system Δ
Based on Flory’s theory, a phase diagram of rigid-chain polymer solution was constructed.
The limits of the separation region in the case of athermic solution at
Flory’s lattice theory, despite its artificial character, can be successfully applied to the solving of a number of certain problems when other approaches require too complicated computations. The examples of phase diagrams based on experimental results are given below.
The phase diagram of PBG-DMF systems, experimentally found by Miller et al. [40] by methods of polarizing microscopy, viscometry, and nuclear magnetic resonance (NMR), exhibits the rather close agreement with Flory’s theoretical diagram as shown in Figure 5. The experimental diagram represents a dashed region having been defined with low accuracy (Figure 6) [40]. According to Flory’s calculations, this region testifies to the coexistence of two anisotropic phases.
Phase diagram for a system of rigid-chain polymer-solvent based on Flory’s theory (dashed line shows a deviation from the theoretical behavior corresponding to the temperature effect on the phase composition).
Phase diagram of poly-y-benzyl-
In the diagram of poly-carbobenzoxylysine-DMF system (Figure 7) [40], the narrow region of the coexistence of isotropic and anisotropic phases is observed, which becomes broader only at very low temperature values. Though the rather high freezing point of DMF prevents obtaining experimental values in the region where the compositions of coexisting phases approach pure solvent and pure polymer correspondingly, the tendency toward transition to this area is quite obvious.
Phase diagram of polycarbobenzoxylysine-DMF system [
The diagram in Figure 8 was obtained by Iovleba et al. [41]. One can see that it represents the part of the theoretical diagram associated with the narrow region of the coexistence of isotropic and anisotropic phases.
Phase diagram of poly-p-benzamid (PBA)-dimethylacetamide (DMAc) systems (+3% mass. LiCl) [
The phase diagrams were constructed for the following systems: PBA-DMAc [42], PBG-benzyl alcohol [43], PPTA (poly-p-phenylene terephtalamid)-H2SO4-water [44], PBG-m-cresol [45], соpolymer of p-phenylenediamine with terephthalic acid-H2SO4, and соpolymer of p-phenylene-diamine with 4,4′-(diphenyl dicarbonic) acid-H2SO4 [46], PBG-dichlorine acetic acid [47].
While examining polymer LC systems, one cannot but refer to the studies dedicated to exploring the LC states of cellulose and its derivatives [48]. Cellulose is one of the most widespread natural polymers used intensively in various industries. The liquid crystalline state in solutions and melts of several cellulose derivatives was discovered in the 1980s. A number of studies of molecular structure of cellulose and its derivatives revealed that they have a helical conformation in the ordered regions being stabilized by intermolecular hydrogen bonds. If during the dilution of the aforesaid polymers the intermolecular H-bonds remain, the molecules continue to be rigid-chained and therefore are able to produce the ordered structures and form a mesophase. If during the dilution the intermolecular H-bonds are disrupted, the macromolecules become flexible and as a result cease to be ordered. Thus, to maintain the LC solution of cellulose and its derivatives, so-called chiral forming solvents are used to disrupt only the intermolecular H-bonds (DMF, DMAC, 1,4-dioxane, chlorinated hydrocarbons) [48].
Figures 9 and 10 show the phase diagrams of solutions of cellulose derivatives.
Segment of the phase diagram of the cellulose tricarbonylate-methyl ethyl ketone system [
Phase diagram of the hydroxypropyl cellulose (HPC)-water system [
Systematic studies of liquid crystalline phase transitions in solutions of cellulose esters were carried out at the polymer chair of Ural Federal University [12, 13, 29, 30, 31, 32, 33, 34, 35, 36]. The objects of this study were hydroxypropyl cellulose (HPC) of the Klucel-JF trademark (Hercules, United States); cyanoethyl cellulose (CEC), cyanoethylnitrocellulose (CENC), cyanoethyl, hydroxyethyl cellulose (CEHEC), and methyl cellulose (MC) (Institute of Macromolecular Compounds, Russian Academy of Sciences, Russia); and hydroxyethyl cellulose (HEC) and ethyl cellulose (EC) (Hercules-Aqualon and ACROS–USA). Their characteristics are presented in Table 2.
According to [39], the critical volume fraction of a polymer φ* at which the LC phase is formed is related to the asymmetry of a macromolecule
Figure 11 shows the boundary curves for the HPC-1-DMAA, HPC-3-DMAA, HPC-1-ethanol, HPC-2-ethanol, HPC-3-ethanol, HEC-1-water, and HEC-3-water systems. These curves separate transparent isotropic solutions (I) from opalescent anisotropic solutions (II) (ω2 is the mass fraction of the polymer). It is shown that a rise in polymer molecular mass leads to a shift of the boundary curve to the region of lower concentrations. It should be noted that the Flory’ theory does not consider influence of the chemical structure of polymer and solvent molecules on phase LC transitions.
Boundary curves of (1) HEC-4 (
Figure 12 illustrates the data on phase transitions for the HPC-1-DMF and EC-1-DMF systems [52]. It is seen that the boundary curve of the EC-1-DMF system is in the region of lower concentrations than the boundary curve of the HPC-1-DMF system. Replacing the branched hydroxylpropyl radical with the ethyl radical enhances interaction between the units of neighboring macromolecules of the EC polymer, thereby facilitating formation of the LC phase. A lower polarity of EC-1 molecules worsens interaction with the polar DMF solvent.
Boundary curves of (1) EC-1(
Figure 13 shows the boundary curves of the EC-1-ethanol, EC-1-DMF, HPC-ethanol, and HPC-2-DMSO systems. It is shown, that, as for DMF solutions in Figure 12, in the case of ethanol solutions, the replacement of the hydroxypropyl radical with the ethyl radical in cellulose ether units causes a decrease in the concentration of formation of the LC phase.
Boundary curves of (1) EC-1(
A similar dependence is shown for the EC-1-DMF and HPC-2-DMSO systems. The boundary curves for the HPC-ethanol, HPC-DMAA, and HPC-DMSO systems change with temperature (Figures 11–13). At high temperatures the thermal motion of the molecules can disturb the liquid-crystalline order. Consequently, a high concentration of the polymer is required to retain the liquid-crystalline order. The boundary curves of the HEC-water (Figure 11), EC-DMF, and EC-ethanol systems (Figure 13) do not depend on temperature and are located in the region of lower concentrations. It is caused by a strong interchain interaction and a higher packing density of these macromolecules. The linear ethyl and hydroxyethyl radicals in the units of neighboring macromolecules can produce a denser packing with each other than the branched propyl radicals of HPC [53, 54]. The IR study of cellulose ether films showed [55] the formation of intra- and intermolecular hydrogen bonds with different strengths. It was shown that HEC is a more associated polymer than CEC and CEHEC. CEC is a less associated compound. CEHEC occupies the intermediate position. Methyl cellulose is also associated but to a lesser extent. As a result, large supramolecular particles are formed in EC and HEC solutions, which do not decompose under heating (Table 3).
Cellulose ether | Molecular mass | Degree of substitution, α |
---|---|---|
HPC-1 | 3.0 | |
HPC-2 | 3.3 | |
HPC-3 | 3.0 | |
HPC-4 | 3.0 | |
CEC | 2.6 | |
HEC-1 | 2.5 | |
HEC-2 | 2.5 | |
HEC-3 | 2.5 | |
HEC-4 | 2.5 | |
EC-1 | 2.6 | |
EC-2 | 1.5 | |
CENC | [η] = 2.79 dL/g (DMAA, | 0.19 |
MC | 2.0 | |
CEHEC | 2.0 |
Characteristics of research objects.
System (ω2 = 0.05) | ( | |
---|---|---|
CEC-DMAA | 110 | 60 |
CEC-DMF | 300 | 60 |
HPC-1-ethanol | 320 | 64 |
HPC-1-water | 180 | 64 |
HEC-1-water | 1780 | 45 |
HEC-1-DMF | 2480 | 45 |
HEC-2-DMF | 1600 | 51 |
HEC-2-DMAA | 1800 | 51 |
EC-2-DMAA | 580 | 80 |
Diameters
The value of
Figure 14 shows the boundary curves of the CENC-DMAA, CENC-DMF, CEC-DMF, and CEC-DMAA systems. It is shown that, in the CENC solutions, the LC order appears at a lower concentration of the polymer. The introduction of a nitro group into CEC chain units increases the rigidity of chains; so the degree of asymmetry of macromolecules grows and the LC phase is formed at lower concentrations of the polymer.
Boundary curves of (1) CENC-DMAA, (2) CENC-DMF, (3) CEC (
The boundary curves for the aqueous solutions of HPC-1 and HEC-1 are given in Figure 15.
Boundary curves of (1–3) HPC-1(
Obviously that the replacement of the hydroxypropyl radical with the hydroxyethyl one causes a substantial change in the phase diagram: first, the LC phase in HEC solutions is formed at lower concentrations. This is caused by the linear character and a smaller size of the hydroxyethyl radical compared with the hydroxypropyl one. So, interchain interaction is enhanced. Secondly, the LCST is absent in the HEC solutions. HPC contains 10–15% of the crystalline phase and 90–85% of the vitrified cholesteric LC phase [56, 57]. The degree of crystallinity of HEC is almost zero. Structural changes during dissolution of HPC in water may be caused by the melting of crystalline domains and relaxation of the metastable glass-like structure. For HEC, only relaxation of the metastable glass-like structure can be observed. The interactions of HPC with water are determined both by the salvation of macromolecules by water owing to the formation of hydrogen bonds [58] and the “hydrophobic hydration” of water itself [59]. The latter process includes the compaction of water structure during penetration of nonpolar molecules or their fragments into voids in its structure. Methyl and methylene groups of HPC are nonpolar fragments. Therefore, intermolecular distances in water decrease, the interaction between its molecules becomes stronger, the exothermic effect of dissolution grows, and the entropy of mixing decreases [60]. The interactions of both types contribute to the negative enthalpy and entropy of mixing of HPC with water. Phase separation of the HPC-water system during heating may be caused by the melting of the densified water structure around hydrophobic fragments of the polymer [61]. The interactions of HEC with water can also be determined both by the solvation of macromolecules by water and by the “hydrophobic hydration” of water itself. However, since there are no methyl groups in HEC molecules to a lesser extent the LCST is absent for this system.
Figure 16 shows the boundary curves of the HEC-2-DMAA, EC-DMAA, and HPC-1-DMAA systems.
Boundary curves of (1) HEC-2 (
The solutions of HEC, EC, and HPC in DMAA follow the same shift in the boundary curves as water and ethanol solutions because of the reasons described above. The replacement of the hydroxyethyl radical in HEC with the ethyl radical in EC causes the weakening of interaction owing to a decrease in the possible formation of hydrogen bonds and, as a result, owing to a rise in concentration of LC phase formation. Note that the boundary curves for the solutions of HEC and EC are in the region of lower concentrations than the solutions of HPC. This is connected with the presence of bulky branched hydroxypropyl radicals in molecules. The boundary curves for the HEC-1-DMF, CENC-DMF, CE-DMF, and HPC-1-DMF systems are presented in Figure 17. For the solutions of these polymers in DMF, the same regularities as for the solutions in DMAA are observed.
Boundary curves of (
Figures 18–20 show the boundary curves for HPC and CEC solutions. The position of the boundary curves on the composition significantly depends on the solvent nature. The better the solvent, to a lesser degree it deteriorates the initial structure of the polymer. Therefore, the LC phase in solution will form at a higher polymer concentration. A more polar solvent should be better for polar cellulose ethers.
Boundary curves of (1) HPC-1 (
Boundary curves of (1) HPC-2 (
Boundary curves of (1) CEC (
Table 4 compares the second virial coefficients and dipole moments of solvent molecules. An increase in the polarity of solvent molecules entails a rise in second virial coefficients, suggesting the improvement of thermodynamic interaction of the components.
Solvent | Dipole moment, D | |
---|---|---|
DMAA | 7.5 | 3.86 |
Water | 3.1 | 1.68 |
Formamide | 8.4 | 3.7 |
Second virial coefficients and dipole moments of solvent molecules for cellulose acetate solutions [62].
Here and in Figures 19 and 20, I refers to the region of isotropic solutions, and II refers to the region of anisotropic solutions.
Figure 13 shows that the boundary curve of the HPC-2-ethanol system is in the region of lower concentrations than the curve of the HPC-2-DMSO system. This may be caused by different polarities of solvent molecules. The dipole moment of ethanol molecules μ = 1.69 D [63] is lower than the dipole moment of DMSO μ = 3.96 D [63]. A more polar solvent DMSO destroys the initial structure of the polar polymer to a greater extent; therefore the sizes of supramolecular particles decrease and a higher concentration of polymer is needed for formation of the LC order in solutions. A similar behavior is observed for the EC solutions. The dipole moment of DMF molecules μ = 3.81 D [63] is higher than the dipole moment of ethanol molecules μ = 1.69 D, and the LC state forms in the EC -DMF system at a higher polymer concentration. Table 5 compares the thermodynamic parameters of interaction for the cellulose ether-solvent systems and the physical properties of the solvents [60, 63].
Polymer | Solvent | ||
---|---|---|---|
MC | Chloroform | 1.06 | 1400 |
H2O | 1.83 | 1350 | |
Ethanol | 1.69 | 1200 | |
CEC | Chloroform | 1.06 | 1400 |
H2O | 1.83 | 1250 | |
Acetone | 2.85 | 1400 | |
Ethanol | 1.68 | 900 | |
CEHEC | Chloroform | 1.06 | 1400 |
TFAA | 2.28 | 4250 | |
H2O | 1.83 | 1150 | |
Dioxane | 0.45 | 1250 | |
Acetone | 2.85 | 1700 | |
HEC | Chloroform | 1.06 | 1300 |
H2O | 1.83 | 1700 | |
Ethanol | 1.68 | 1050 | |
Dioxane | 0.45 | 300 |
Dipole moments and minimum Gibbs energies of mixing of cellulose ethers with low-molecular-mass liquids.
The dissolving capacity of water is due to the possibility to form hydrogen bonds between its molecules and molecules of polymers. For HEC containing the maximal amount of hydroxyl groups, water is the best solvent.
The good interaction with chloroform and water is characteristic of MC, the least associated polymer with a small nonpolar substituent and unsubstituted hydroxyl groups. CEC and CEHEC containing polar nitrile groups with donor properties [64] have a high affinity for chloroform and a low affinity for water despite the presence of unsubstituted hydroxyl groups. Owing to a high packing density and, as a result, strong interchain interaction, CEC does not dissolve but only limitedly swells in water. This may suggest an insignificant role of hydrogen bonds in dissolving cyanoethylated ethers. This assumption is confirmed by a low affinity of CEC for ethanol. Dioxane being the electron donor for polymer molecules [64] capable of H bonding has a low thermodynamic affinity for HEC and CEHEC.
With some exceptions, the higher the dipole moment of solvent molecules, the more negative the Gibbs energy of mixing, i.e., the better the solubility of the cellulose ethers. Thus, in a first approximation, the dipole moment can be used as an estimate of solvent quality for cellulose ethers.
An important specific task to be solved within the priority direction of science and technology—industry of nanоsystems and materials—as well as in critical technology—nanotechnologies and nanomaterials—is the study of the process of self-assembly of supramolecular systems. Such systems include the solutions of rigid chain polymers, the molecules of which exhibit an ability for self-organization leading to the formation of liquid crystalline phases. Informative methods employed for the research of solution structures are the optical methods: the method of Rayleigh light scattering, the method of dynamic light scattering, the method of measurement of optical density (turbidimetry). The chapter presents the results of the examination of solution structure using the turbidity spectrum method, which makes it possible to determine the size of supramolecular particles in solutions in a wide composition range. The method was introduced by Heller et al. [65, 66, 67] and further developed by Klenin et al. [68]. According to this method, the typical dependence of logarithm of optical density
Figure 21 shows the concentration dependencies of optical density
Concentration dependencies of the optical density for HEC-2-DMF (1) and HEC-1-DMF (2) systems: (I) isotropic solutions, (II) anisotropic solutions.
The concentration dependencies of the calculated average weighted radii of supramolecular particles at 298 K are given in Figure 22. The similar dependences were obtained for the HEC-1-water, HEC-3-water (2), HPC-water HEC-1-DMF, HEC-2-DMF, HEC-2-DMA, and EC-DMAc systems.
Concentration dependencies of the sizes of light scattering particles for the systems: CEC-DMF (1), CEC-DMAc (2), HPC-1-ethanol (3). (1′, 2′, 3′) the phase boundaries [
According to Table 3 and Figure 22 for the systems: CEC-DMAc, CEC-DMF, HPC-ethanol, HPC-1-water, HEC-3-water at polymer concentration of up to ω2 ≈ 0.05, the diameters of light scattering particles do not exceed 320 nm, for the EC-DMAA system, they are of 580 nm and for the HEC-1-water, HEC-1-DMF, HEC-2-DMF, and HEC-2-DMAc systems, they vary from 1600 to 2500 nm. The calculated values (
The sharpest increase of particle sizes is observed in the LC phase. It should be noted that for all studied systems, the rw = f(ω2) curves exhibit a horizontal section in a certain concentration range indicating the constant size of supramolecular particles. The obtained data made it possible to suggest the following mechanism of self-assembly of cellulose ester macromolecules preceding LC transition. In diluted solutions there exist associates, including several macromolecules. Within the concentration range up to ω2 ≈ 0.05, supramolecular particles of a stable-sized “packet” are formed. The term “packet” has been used in physics for a long time. For example, the wave packet is a certain summation of waves limited spatially and by time. Thus, in quantum mechanics, the description of a particle as a wave packet contributed to the acceptance of statistic interpretation of the square of absolute value of wave function.
Here the term “packet” means a stable supramolecular particle with essentially stable dimensions, which is a nuclei of the new LC phase. These supramolecular particles contain both polymers and conjugated solvents. As is shown in Figure 22, in the region of moderately concentrated solutions, the “packet” dimensions remain virtually unchanged within a certain concentration range, depending on the system. As the concentration of polymer in solutions further increases, the number of packets also increases while their size does not change. The transition of the system to a fully LC state is induced by the aggregation of packets with the formation of large particles thousands of nanometers in size. It is obvious that these large particles include a great number of macromolecules.
To study the influence of magnetic field on the size of supramolecular particles, a cell with the polymer solution was placed in a gap between the electromagnet poles and kept at a field intensity of 9 kOe for 50 min. The optical density was measured within 5–10 min after the magnetic field was turned off.
It was shown that the EC-DMAc, HEC-1-DMF, and HEC-1-water systems exhibit an increase in optical density after magnetic-field treatment. The increase in the optical density of solutions is indicative of the occurrence of an additional association of macromolecules because they are oriented by their axes concerning lines of magnetic field.
It was revealed that the magnetic field leads to the increase in the radii of light-scattering particles in solutions. The concentration dependences of the sizes of supramolecular particles for the EC-DMAc, HEC-1-DMF, and HEC-1-water systems are presented in Figures 23–25.
Concentration dependence of radii of light-scattering particles in the EC-DMAc system: (1) before and (2) after magnetic-field treatment. H = 9 kOe [
Concentration dependencies of radii of light-scattering particles in the HEC-1-DMF system: (1) before and (2) after magnetic-field treatment. H = 9 kOe [
Concentration dependencies of radii of light-scattering particles in the HEC-1-water system: (1) before and (2) after magnetic-field treatment. H = 9 kOe [
Experiments in the magnetic field were performed using a setup generating a constant magnetic field with a strength up 15 kOe [12]. A sealed ampoule with a polymer solution, which was transparent at elevated temperatures, was placed into a gap between magnet poles. The vector of the magnetic field strength was directed normal to the solution layer (∼5-mm thick). The solution was cooled using a thermostating jacket, and the onset temperature of opalescence development was recorded. This temperature
The phase diagrams were obtained under magnetic field for the systems: HPC-ethanol, HPC-DMAc, HPC-water, CEC-DMAc, CEC-DMF, PBG-DMF. The LC solutions of the cellulose esters exhibited the increase in the temperature of phase LC transition in the magnetic field and the preservation of the increased temperature for many hours after the magnetic field was switched off. This means that the cellulose ether-solvent systems are the “systems with memory.” Figures 26–28 show the results of the experiments [12].
Time dependence of
Time dependencies of
Time dependence of
It is observed that the magnetic field increases the temperature of LC phase transition. On the basis of the data from other studies, it seems to be induced by the change in the liquid crystalline type, in particular, by the LC cholesteric → LC nematic phase transition.
Figures 26–28 show that in the course of the time, the phase LC transition temperature increased by the magnetic field goes back down to the initial value (prior to the exposure to magnetic field). This means that the thermal motion destroys the field-induced orientation of macromolecules. The higher the temperature of thermostatic control of the solutions, the more intensive the thermal movement and the faster the recovery of the initial structure of solutions.
The boundary curves of the cellulose ether-solvent systems in the magnetic field are presented in Figures 29–32 [12] (I is the region of isotropic solutions, II is the region of anisotropic solutions).
Boundary curves of HPC-1-ethanol.
Boundary curves of CEC-DMF system.
Boundary curves of CEC-DMAс system.
Boundary curves of HPC-1-water.
Figures 29–32 show that the magnetic field leads to the boundary curve shift to the region of the higher temperatures. Thus, the anisotropic (II) region extends and isotropic region (I) gets narrow, and in the case of the HPC-1-water system, the region of amorphous phase separation becomes narrow. The observed effects are related to the change in macromolecule orientation under a magnetic field.
The shift of the boundary curves of the studied systems depends on the intensity of the magnetic field and polymer concentration, as discussed below.
Figure 33 shows the diagrams of Δ
Dependence Δ
The similar behavior is observed for all given systems (except for the HPC-1-water system): the greater the intensity of the magnetic field, the more the macromolecule orientation and the higher the temperature of the LC phase transition. For the HPC-1-water system, the inverse dependence is observed: the higher the value of
The effect of the polymer concentration on magnetic-field-induced changes in phase transition temperatures is due to two factors: (1) as concentration increases, the number of macromolecules capable of orientation in the magnetic field grows; as a consequence, the temperature of the phase LC transition should increase; (2) polymer concentration growth leads to the increase in viscosity and in the interchain interaction that hampers the development of the orientation processes and weakens the impact of the magnetic field. In general, the dependence of ∆
It should be noted that for the solutions of the lower-molecular-weight sample HPC, the value of ∆Т is significantly larger. This proves the better orientation of smaller molecules in the magnetic field, which coincides with the results of the other studies (Figure 34) [12].
Concentration dependence of Δ
The solutions of cellulose derivatives exhibit the formation of the cholesteric liquid crystals [1]. The exposure of solutions in magnetic field induces the transition of the cholesteric liquid crystal to the forced nematic liquid crystal. And such transition has a threshold character with the critical intensity of the magnetic field
System | −χ·107 |
---|---|
HPC-1 | 18.1 |
HPC-1-DMAc (ω2 = 0.5) | 6.9 |
HPC-1-water (ω2 = 0.5) | 3.4 |
HPC-1-СН3СООН (ω2 = 0.3) | 71.3 |
CEC | 5.3 |
CEC-DMAc (ω2 = 0.5) | 6.7 |
Magnetic susceptibility of the systems.
All calculated values of χ are negative. Therefore, the studied systems show the diamagnetic properties that agree with their chemical structure. The value of
Plot of Δ
Plot of Δ
Figure 35 explicitly shows that the smaller the HPC molecules, the better they are oriented in the magnetic field and the higher the Δ
System | ||
---|---|---|
HPC-DMAc | 0.34 | 2.2 |
CEC-DMAc | 0.28 | 2.0 |
Calculated values for
The classification of liquid crystals is considered. The phase diagrams of the polymer-solvent systems with liquid crystalline phase separation are described. It has been shown that, as the molecular mass of cellulose ether increases, the boundary curve separating the isotropic region from the anisotropic one on the phase diagram shifts to the region of higher temperatures and lower concentrations of the polymer. The replacement of the hydroxypropyl radical in cellulose ether units with ethyl or hydroxyethyl radicals leads to a decrease in the concentration of LC phase formation. The introduction of nitro groups into the units of CEC chains increases the rigidity of chains; therefore the degree of asymmetry of macromolecules grows and the LC phase is formed at lower concentrations of the polymer. The higher the polarity of solvent molecules, the more negative the Gibbs energy of mixing and the higher the second virial coefficients, that is, the better the interaction between the components. Thus, in a first approximation, the dipole moment can be used as an estimate of solvent quality for cellulose ethers. The rigid macromolecules orient easily in the external fields. This results in: the type of liquid crystal changes from the cholesteric to the nematic one; the domain structure is formed in the solutions; the concentration dependency of Δ
The processes of self-assembly of nanomolecules are most intensive in the solutions of rigid-chain polymers. This process has a “packet” mechanism. In diluted solutions there exist isolated macromolecules, which, within the concentrations of 2–5% (depending on the polymer molecular weight), form supramolecular particles: “packets,” which remain stable (do not change dimensions) in a sufficiently wide range (from 10 to 30%). With a further increase in the polymer concentration, the number of packets (nuclei of the new LC-phase) increases while their sizes are conserved. The system transition to the fully LC state is caused by the aggregation of packets and the formation of large particles.
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