Journal
CARBOHYDRATE POLYMERS
Volume 84, Issue 1, Pages 539-549Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.carbpol.2010.12.018
Keywords
Cellulose; CPMAS; NMR; PCA; MCR; Chemometrics
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Funding
- French National Research Agency (ANR) [BLAN08-1_310638]
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Chemometric analyses of C-13 CPMAS NMR spectra (without signal curve-fitting) recorded on celluloses from various origins and by varying the contact time of the cross-polarization process, indicated a direct relation between the crystallinity of cellulose and the PCA scores. The complex exponential increase of CPMAS signals was shown to be directly dependent on the cellulose crystallinity. Estimation of a crystallinity index was possible using the proton spin diffusion time values estimated by adjustment of the experimental NMR spectra obtained while cross-polarization built-up. Calculation of the corresponding lateral dimensions of cellulose crystallites has been carried out taking into account a variable thickness of the microfibrils surface layer. Using a multilinear regression method with a constraint of positivity (MLRC), modeling of the observed spectra of celluloses from various origins has been considered as a linear combination of available NMR spectra of pure forms (I beta, I alpha and amorphous forms). The concentration of these pure forms allowed a crystallinity index to be calculated as well as estimating the proportion of the cellulose I beta allomorph. The proposed procedures based on chemometrics are rapid, robust, even on impure samples. They need no assumption about samples and very few manipulations of the NMR signals (no curve-fitting). (C) 2010 Elsevier Ltd. All rights reserved.
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