Document Detail

Estimation of Cellulose Crystallinity of Lignocelluloses Using Near-IR FT-Raman Spectroscopy and Comparison of the Raman and Segal-WAXS Methods.
MedLine Citation:
PMID:  23241140     Owner:  NLM     Status:  Publisher    
Of the recently developed univariate and multivariate near-IR FT-Raman methods for estimating cellulose crystallinity, the former method was applied to a variety of lignocelluloses: softwoods, hardwoods, wood pulps, and agricultural residues/fibers. The effect of auto-fluorescence on the crystallinity estimation was minimized by solvent-extraction or chemical treatment or both. Additionally, when the roles of lignin and hemicellulose in the Raman crystallinity assessment were investigated it was found that syringyl lignin containing lignocelluloses generated somewhat higher crystallinity whereas presence of hemicellulose reduced the crystallinity. Overall, when auto-fluorescence was minimized and corrections made for hemicellulose and syringyl-lignin contributions, the univariate Raman method performed well and estimated cellulose crystallinity accurately. Moreover, when the Raman and Segal-WAXS methods were compared, we observed that in the absence of significant fluorescence, the Raman method was influenced mostly by hemicellulose and syringyl-lignin, whereas the Segal-WAXS was affected by various types of lignin and hemicellulose. We conclude that the near-IR FT-Raman method with corrections for influences of syringyl lignin and hemicellulose can be used to correctly estimate cellulose crystallinity.
Umesh P Agarwal; Richard R Reiner; Sally A Ralph
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-12-16
Journal Detail:
Title:  Journal of agricultural and food chemistry     Volume:  -     ISSN:  1520-5118     ISO Abbreviation:  J. Agric. Food Chem.     Publication Date:  2012 Dec 
Date Detail:
Created Date:  2012-12-17     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0374755     Medline TA:  J Agric Food Chem     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
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