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利用红外光谱法对漂白硫酸盐浆中半纤维素进行多变量分析

Multivariate Analysis of Hemicelluloses in Bleached Kraft Pulp Using Infrared Spectroscopy.

作者信息

Chen Zhiwen, Hu Thomas Q, Jang Ho Fan, Grant Edward

机构信息

Department of Chemistry, University of British Columbia, Vancouver, BC, Canada.

Pulp, Paper and Bio-products Division, FPInnovations, Vancouver, BC, Canada.

出版信息

Appl Spectrosc. 2016 Dec;70(12):1981-1993. doi: 10.1177/0003702816675363. Epub 2016 Oct 28.

Abstract

The hemicellulose composition of a pulp significantly affects its chemical and physical properties and thus represents an important process control variable. However, complicated steps of sample preparation make standard methods for the carbohydrate analysis of pulp samples, such as high performance liquid chromatography (HPLC), expensive and time-consuming. In contrast, pulp analysis by attenuated total internal reflection Fourier transform infrared spectroscopy (ATR FT-IR) requires little sample preparation. Here we show that ATR FT-IR with discrete wavelet transform (DWT) and standard normal variate (SNV) spectral preprocessing offers a convenient means for the qualitative and quantitative analysis of hemicelluloses in bleached kraft pulp and alkaline treated kraft pulp. The pulp samples investigated include bleached softwood kraft pulps, bleached hardwood kraft pulps, and their mixtures, as obtained from Canadian industry mills or blended in a lab, and bleached kraft pulp samples treated with 0-6% NaOH solutions. In the principal component analysis (PCA) of these spectra, we find the potential both to differentiate all pulps on the basis of hemicellulose compositions and to distinguish bleached hardwood pulps by species. Partial least squares (PLS) multivariate analysis gives a 0.442 wt% root mean square errors of prediction (RMSEP) for the prediction of xylan content and 0.233 wt% RMSEP for the prediction of mannan content. These data all support the idea that ATR FT-IR has a great potential to rapidly and accurately predict the content of xylan and mannan for bleached kraft pulps (softwood, hardwood, and their mixtures) in industry. However, the prediction of xylan and mannan concentrations presented a difficulty for pulp samples with modified cellulose crystalline structure.

摘要

纸浆的半纤维素组成显著影响其化学和物理性质,因此是一个重要的过程控制变量。然而,复杂的样品制备步骤使得纸浆样品碳水化合物分析的标准方法,如高效液相色谱法(HPLC),既昂贵又耗时。相比之下,采用衰减全内反射傅里叶变换红外光谱法(ATR FT-IR)进行纸浆分析所需的样品制备很少。在此我们表明,结合离散小波变换(DWT)和标准正态变量(SNV)光谱预处理的ATR FT-IR为漂白硫酸盐浆和碱处理硫酸盐浆中半纤维素的定性和定量分析提供了一种便捷手段。所研究的纸浆样品包括从加拿大工业工厂获得或在实验室混合的漂白针叶木硫酸盐浆、漂白阔叶木硫酸盐浆及其混合物,以及用0 - 6%氢氧化钠溶液处理的漂白硫酸盐浆样品。在这些光谱的主成分分析(PCA)中,我们发现既有潜力根据半纤维素组成区分所有纸浆,也有潜力按树种区分漂白阔叶木浆。偏最小二乘法(PLS)多变量分析对木聚糖含量预测的预测均方根误差(RMSEP)为0.442 wt%,对甘露聚糖含量预测的RMSEP为0.233 wt%。这些数据均支持ATR FT-IR在工业上具有快速准确预测漂白硫酸盐浆(针叶木、阔叶木及其混合物)中木聚糖和甘露聚糖含量的巨大潜力这一观点。然而,对于具有改性纤维素晶体结构的纸浆样品,木聚糖和甘露聚糖浓度的预测存在困难。

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