New cellulose crystallinity estimation method that differentiates between organized and crystalline phases.
Identifieur interne : 000E87 ( Main/Corpus ); précédent : 000E86; suivant : 000E88New cellulose crystallinity estimation method that differentiates between organized and crystalline phases.
Auteurs : Umesh P. Agarwal ; Sally A. Ralph ; Richard S. Reiner ; Carlos BaezSource :
- 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
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pubmed:29628247Le document en format XML
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<author><name sortKey="Agarwal, Umesh P" sort="Agarwal, Umesh P" uniqKey="Agarwal U" first="Umesh P" last="Agarwal">Umesh P. Agarwal</name>
<affiliation><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>
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<author><name sortKey="Ralph, Sally A" sort="Ralph, Sally A" uniqKey="Ralph S" first="Sally A" last="Ralph">Sally A. Ralph</name>
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<author><name sortKey="Reiner, Richard S" sort="Reiner, Richard S" uniqKey="Reiner R" first="Richard S" last="Reiner">Richard S. Reiner</name>
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<author><name sortKey="Baez, Carlos" sort="Baez, Carlos" uniqKey="Baez C" first="Carlos" last="Baez">Carlos Baez</name>
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<series><title level="j">Carbohydrate polymers</title>
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<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>
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<Title>Carbohydrate polymers</Title>
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<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>
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<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>
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