New cellulose crystallinity estimation method that differentiates between organized and crystalline phases.
Identifieur interne : 000D71 ( Main/Exploration ); précédent : 000D70; suivant : 000D72New cellulose crystallinity estimation method that differentiates between organized and crystalline phases.
Auteurs : Umesh P. Agarwal [États-Unis] ; Sally A. Ralph [États-Unis] ; Richard S. Reiner [États-Unis] ; Carlos Baez [États-Unis]Source :
- Carbohydrate polymers [ 1879-1344 ] ; 2018.
Abstract
A new method is proposed for estimation of cellulose crystallinity (CrI) based on 93 cm-1 Raman band in spectra of cellulose I materials. In this method (93-Raman), CrI was determined based on regression that was developed using the ratios of peak-heights of the 93 and 1096 cm-1 Raman bands (I93/I1096). For calibration purposes, a set of eight samples, all derived from cotton microcrystalline cellulose Whatman CC31 were selected. When the peak intensity ratios (I93/I1096) were plotted against the calculated CrIs of the calibration set samples, the plot showed an excellent linear correlation (R2 = 0.9888). The 93-Raman method was used to estimate crystallinities of a number of cellulose materials including poplar wood samples that were hydrothermally treated at various temperatures. The wood 93-Raman CrI data showed that the method is able to differentiate between organized and crystalline phases of cellulose, a capability lacking in many other CrI estimation methods.
DOI: 10.1016/j.carbpol.2018.03.003
PubMed: 29628247
Affiliations:
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Ralph</name><affiliation wicri:level="1"><nlm:affiliation>Fiber and Chemical Sciences Research, USDA FS, Forest Products Laboratory, 1 Gifford Pinchot Drive, Madison, WI, 53726-2398, United States.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Fiber and Chemical Sciences Research, USDA FS, Forest Products Laboratory, 1 Gifford Pinchot Drive, Madison, WI, 53726-2398</wicri:regionArea><wicri:noRegion>53726-2398</wicri:noRegion></affiliation></author><author><name sortKey="Reiner, Richard S" sort="Reiner, Richard S" uniqKey="Reiner R" first="Richard S" last="Reiner">Richard S. Reiner</name><affiliation wicri:level="1"><nlm:affiliation>Fiber and Chemical Sciences Research, USDA FS, Forest Products Laboratory, 1 Gifford Pinchot Drive, Madison, WI, 53726-2398, United States.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Fiber and Chemical Sciences Research, USDA FS, Forest Products Laboratory, 1 Gifford Pinchot Drive, Madison, WI, 53726-2398</wicri:regionArea><wicri:noRegion>53726-2398</wicri:noRegion></affiliation></author><author><name sortKey="Baez, Carlos" sort="Baez, Carlos" uniqKey="Baez C" first="Carlos" last="Baez">Carlos Baez</name><affiliation wicri:level="1"><nlm:affiliation>Fiber and Chemical Sciences Research, USDA FS, Forest Products Laboratory, 1 Gifford Pinchot Drive, Madison, WI, 53726-2398, United States.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Fiber and Chemical Sciences Research, USDA FS, Forest Products Laboratory, 1 Gifford Pinchot Drive, Madison, WI, 53726-2398</wicri:regionArea><wicri:noRegion>53726-2398</wicri:noRegion></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2018">2018</date><idno type="RBID">pubmed:29628247</idno><idno type="pmid">29628247</idno><idno type="doi">10.1016/j.carbpol.2018.03.003</idno><idno type="wicri:Area/Main/Corpus">000E87</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000E87</idno><idno type="wicri:Area/Main/Curation">000E87</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000E87</idno><idno type="wicri:Area/Main/Exploration">000E87</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">New cellulose crystallinity estimation method that differentiates between organized and crystalline phases.</title><author><name sortKey="Agarwal, Umesh P" sort="Agarwal, Umesh P" uniqKey="Agarwal U" first="Umesh P" last="Agarwal">Umesh P. Agarwal</name><affiliation wicri:level="1"><nlm:affiliation>Fiber and Chemical Sciences Research, USDA FS, Forest Products Laboratory, 1 Gifford Pinchot Drive, Madison, WI, 53726-2398, United States. Electronic address: uagarwal@fs.fed.us.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Fiber and Chemical Sciences Research, USDA FS, Forest Products Laboratory, 1 Gifford Pinchot Drive, Madison, WI, 53726-2398</wicri:regionArea><wicri:noRegion>53726-2398</wicri:noRegion></affiliation></author><author><name sortKey="Ralph, Sally A" sort="Ralph, Sally A" uniqKey="Ralph S" first="Sally A" last="Ralph">Sally A. Ralph</name><affiliation wicri:level="1"><nlm:affiliation>Fiber and Chemical Sciences Research, USDA FS, Forest Products Laboratory, 1 Gifford Pinchot Drive, Madison, WI, 53726-2398, United States.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Fiber and Chemical Sciences Research, USDA FS, Forest Products Laboratory, 1 Gifford Pinchot Drive, Madison, WI, 53726-2398</wicri:regionArea><wicri:noRegion>53726-2398</wicri:noRegion></affiliation></author><author><name sortKey="Reiner, Richard S" sort="Reiner, Richard S" uniqKey="Reiner R" first="Richard S" last="Reiner">Richard S. Reiner</name><affiliation wicri:level="1"><nlm:affiliation>Fiber and Chemical Sciences Research, USDA FS, Forest Products Laboratory, 1 Gifford Pinchot Drive, Madison, WI, 53726-2398, United States.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Fiber and Chemical Sciences Research, USDA FS, Forest Products Laboratory, 1 Gifford Pinchot Drive, Madison, WI, 53726-2398</wicri:regionArea><wicri:noRegion>53726-2398</wicri:noRegion></affiliation></author><author><name sortKey="Baez, Carlos" sort="Baez, Carlos" uniqKey="Baez C" first="Carlos" last="Baez">Carlos Baez</name><affiliation wicri:level="1"><nlm:affiliation>Fiber and Chemical Sciences Research, USDA FS, Forest Products Laboratory, 1 Gifford Pinchot Drive, Madison, WI, 53726-2398, United States.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Fiber and Chemical Sciences Research, USDA FS, Forest Products Laboratory, 1 Gifford Pinchot Drive, Madison, WI, 53726-2398</wicri:regionArea><wicri:noRegion>53726-2398</wicri:noRegion></affiliation></author></analytic><series><title level="j">Carbohydrate polymers</title><idno type="eISSN">1879-1344</idno><imprint><date when="2018" type="published">2018</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">A new method is proposed for estimation of cellulose crystallinity (CrI) based on 93 cm<sup>-1</sup> Raman band in spectra of cellulose I materials. In this method (93-Raman), CrI was determined based on regression that was developed using the ratios of peak-heights of the 93 and 1096 cm<sup>-1</sup> Raman bands (I<sub>93</sub>/I<sub>1096</sub>). For calibration purposes, a set of eight samples, all derived from cotton microcrystalline cellulose Whatman CC31 were selected. When the peak intensity ratios (I<sub>93</sub>/I<sub>1096</sub>) were plotted against the calculated CrIs of the calibration set samples, the plot showed an excellent linear correlation (R<sup>2</sup> = 0.9888). The 93-Raman method was used to estimate crystallinities of a number of cellulose materials including poplar wood samples that were hydrothermally treated at various temperatures. The wood 93-Raman CrI data showed that the method is able to differentiate between organized and crystalline phases of cellulose, a capability lacking in many other CrI estimation methods.</div></front></TEI><pubmed><MedlineCitation Status="PubMed-not-MEDLINE" Owner="NLM"><PMID Version="1">29628247</PMID><DateCompleted><Year>2018</Year><Month>04</Month><Day>18</Day></DateCompleted><DateRevised><Year>2018</Year><Month>04</Month><Day>18</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1879-1344</ISSN><JournalIssue CitedMedium="Internet"><Volume>190</Volume><PubDate><Year>2018</Year><Month>Jun</Month><Day>15</Day></PubDate></JournalIssue><Title>Carbohydrate polymers</Title><ISOAbbreviation>Carbohydr Polym</ISOAbbreviation></Journal><ArticleTitle>New cellulose crystallinity estimation method that differentiates between organized and crystalline phases.</ArticleTitle><Pagination><MedlinePgn>262-270</MedlinePgn></Pagination><ELocationID EIdType="pii" ValidYN="Y">S0144-8617(18)30259-5</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.carbpol.2018.03.003</ELocationID><Abstract><AbstractText>A new method is proposed for estimation of cellulose crystallinity (CrI) based on 93 cm<sup>-1</sup> Raman band in spectra of cellulose I materials. In this method (93-Raman), CrI was determined based on regression that was developed using the ratios of peak-heights of the 93 and 1096 cm<sup>-1</sup> Raman bands (I<sub>93</sub>/I<sub>1096</sub>). For calibration purposes, a set of eight samples, all derived from cotton microcrystalline cellulose Whatman CC31 were selected. When the peak intensity ratios (I<sub>93</sub>/I<sub>1096</sub>) were plotted against the calculated CrIs of the calibration set samples, the plot showed an excellent linear correlation (R<sup>2</sup> = 0.9888). The 93-Raman method was used to estimate crystallinities of a number of cellulose materials including poplar wood samples that were hydrothermally treated at various temperatures. The wood 93-Raman CrI data showed that the method is able to differentiate between organized and crystalline phases of cellulose, a capability lacking in many other CrI estimation methods.</AbstractText><CopyrightInformation>Published by Elsevier Ltd.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Agarwal</LastName><ForeName>Umesh P</ForeName><Initials>UP</Initials><AffiliationInfo><Affiliation>Fiber and Chemical Sciences Research, USDA FS, Forest Products Laboratory, 1 Gifford Pinchot Drive, Madison, WI, 53726-2398, United States. Electronic address: uagarwal@fs.fed.us.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ralph</LastName><ForeName>Sally A</ForeName><Initials>SA</Initials><AffiliationInfo><Affiliation>Fiber and Chemical Sciences Research, USDA FS, Forest Products Laboratory, 1 Gifford Pinchot Drive, Madison, WI, 53726-2398, United States.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Reiner</LastName><ForeName>Richard S</ForeName><Initials>RS</Initials><AffiliationInfo><Affiliation>Fiber and Chemical Sciences Research, USDA FS, Forest Products Laboratory, 1 Gifford Pinchot Drive, Madison, WI, 53726-2398, United States.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Baez</LastName><ForeName>Carlos</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>Fiber and Chemical Sciences Research, USDA FS, Forest Products Laboratory, 1 Gifford Pinchot Drive, Madison, WI, 53726-2398, United States.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2018</Year><Month>03</Month><Day>05</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Carbohydr Polym</MedlineTA><NlmUniqueID>8307156</NlmUniqueID><ISSNLinking>0144-8617</ISSNLinking></MedlineJournalInfo><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Cellulose crystallinity</Keyword><Keyword MajorTopicYN="N">Crystalline</Keyword><Keyword MajorTopicYN="N">Hydrothermal</Keyword><Keyword MajorTopicYN="N">Low frequency</Keyword><Keyword MajorTopicYN="N">Organized</Keyword><Keyword MajorTopicYN="N">Raman spectroscopy</Keyword><Keyword MajorTopicYN="N">Wood</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2017</Year><Month>12</Month><Day>05</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2018</Year><Month>02</Month><Day>27</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2018</Year><Month>03</Month><Day>02</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2018</Year><Month>4</Month><Day>10</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2018</Year><Month>4</Month><Day>10</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2018</Year><Month>4</Month><Day>10</Day><Hour>6</Hour><Minute>1</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">29628247</ArticleId><ArticleId IdType="pii">S0144-8617(18)30259-5</ArticleId><ArticleId IdType="doi">10.1016/j.carbpol.2018.03.003</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>États-Unis</li></country></list><tree><country name="États-Unis"><noRegion><name sortKey="Agarwal, Umesh P" sort="Agarwal, Umesh P" uniqKey="Agarwal U" first="Umesh P" last="Agarwal">Umesh P. Agarwal</name></noRegion><name sortKey="Baez, Carlos" sort="Baez, Carlos" uniqKey="Baez C" first="Carlos" last="Baez">Carlos Baez</name><name sortKey="Ralph, Sally A" sort="Ralph, Sally A" uniqKey="Ralph S" first="Sally A" last="Ralph">Sally A. Ralph</name><name sortKey="Reiner, Richard S" sort="Reiner, Richard S" uniqKey="Reiner R" first="Richard S" last="Reiner">Richard S. Reiner</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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