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一种新的纤维素结晶度估计方法,可以区分有序相和结晶相。

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

机构信息

Fiber and Chemical Sciences Research, USDA FS, Forest Products Laboratory, 1 Gifford Pinchot Drive, Madison, WI, 53726-2398, United States.

Fiber and Chemical Sciences Research, USDA FS, Forest Products Laboratory, 1 Gifford Pinchot Drive, Madison, WI, 53726-2398, United States.

出版信息

Carbohydr Polym. 2018 Jun 15;190:262-270. doi: 10.1016/j.carbpol.2018.03.003. Epub 2018 Mar 5.

DOI:10.1016/j.carbpol.2018.03.003
PMID:29628247
Abstract

A new method is proposed for estimation of cellulose crystallinity (CrI) based on 93 cm 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 Raman bands (I/I). For calibration purposes, a set of eight samples, all derived from cotton microcrystalline cellulose Whatman CC31 were selected. When the peak intensity ratios (I/I) were plotted against the calculated CrIs of the calibration set samples, the plot showed an excellent linear correlation (R = 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.

摘要

提出了一种基于纤维素 I 材料光谱中 93cm Raman 带估计纤维素结晶度(CrI)的新方法。在该方法(93-Raman)中,基于开发的使用 93 和 1096cm Raman 带峰高比(I/I)的回归来确定 CrI。为了校准目的,选择了一组 8 个均源自棉微晶纤维素 Whatman CC31 的样品。当将峰强度比(I/I)与校准集样品的计算 CrI 作图时,该图显示出极好的线性相关性(R=0.9888)。93-Raman 方法用于估计包括经不同温度水热处理的杨木样品在内的多种纤维素材料的结晶度。木材的 93-Raman CrI 数据表明,该方法能够区分纤维素的有组织和结晶相,而许多其他 CrI 估计方法则缺乏这种能力。

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