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Title: New cellulose crystallinity estimation method that differentiates between organized and crystalline phases

Source: Carbohydrate Polymers. 190: 262-270.

Author(s)Agarwal, Umesh P.; Ralph, Sally A.; Reiner, Richard S.; Baez, Carlos

Publication Year: 2018  View PDF »

Category: Journal Articles
Associated Research Project(s):   FPL-4709-3B

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.

Keywords: Cellulose crystallinity; Raman spectroscopy; Low frequency; Organized; Crystalline; Hydrothermal; Wood

Publication Review Process: Formally Refereed

File size: 1,024 kb(s)

Date posted: 08/08/2018

This publication is also viewable on Treesearch:  view
RITS Product ID: 90935
Current FPL Scientist associated with this product
Agarwal, Umesh P.
Research Chemist

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