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近红外漫反射光谱法测定天然纤维素浆粕聚合度
引用本文:易英,宋春风,袁洪福,谢锦春,杜俊琪,李效玉.近红外漫反射光谱法测定天然纤维素浆粕聚合度[J].光谱学与光谱分析,2014,34(9):2372-2376.
作者姓名:易英  宋春风  袁洪福  谢锦春  杜俊琪  李效玉
作者单位:1. 北京化工大学有机无机复合材料国家重点实验室,碳纤维与功能高分子教育部重点实验室,北京化工大学材料学院,北京 100029
2. 北京化工大学化学工程学院,北京 100029
基金项目:国家科技支撑计划项目(2011BAE11B01)资助
摘    要:提出一种采用近红外光谱测定天然纤维素(棉、木)浆粕聚合度的方法。实验收集了195个天然纤维素浆粕样品,采用GB/T 9107-1999方法测定了其聚合度,对样品进行粉碎预处理后,放入旋转杯中采集相应的近红外漫反射光谱。通过化学计量学偏最小二乘方法(PLS)将聚合度数据与近红外光谱关联,分别建立了棉木浆粕混合样品、棉浆粕样品和木浆粕样品的聚合度定量模型。最优模型相关系数分别为0.980,0.993,和0.886,预测均方根误差(RMSEP)分别为147,143和53。研究了近红外方法精密度和准确性。结果表明棉浆粕和木浆粕分类模型预测准确性优于混合模型,且其预测精密度符合国标(GB)方法要求。另外,采用主成分分析方法建立了棉浆粕和木浆粕的识别模型,结果表明该模型可以有效识别棉浆粕和木浆粕。该方法操作简单、分析速度快,能够满足天然纤维素浆粕聚合度在线检测要求,为实现清洁制浆新工艺聚合度在线监控目标提供了理论和技术依据。

关 键 词:漫反射近红外光谱  天然纤维素浆粕  聚合度  清洁制浆工艺    
收稿时间:2013/9/2

Determination of Degree of Polymerization of Natural Cellulose Pulp Using Near-Infrared Diffuse Reflectance Spectroscopy
YI Ying;SONG Chun-feng;YUAN Hong-fu;XIE Jin-chun;DU Jun-qi;LI Xiao-yu.Determination of Degree of Polymerization of Natural Cellulose Pulp Using Near-Infrared Diffuse Reflectance Spectroscopy[J].Spectroscopy and Spectral Analysis,2014,34(9):2372-2376.
Authors:YI Ying;SONG Chun-feng;YUAN Hong-fu;XIE Jin-chun;DU Jun-qi;LI Xiao-yu
Institution:1. Key Laboratory of Carbon Fiber and Functional Polymers, Ministry of Education, State Key Laboratory of Organic and Inorganic Composites, College of Materials Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China2. College of Chemical Engineering, Beijing University of Chemical Technology, Beijing 100029, China
Abstract:A new method of near-infrared (NIR) diffuse reflectance spectroscopy is proposed to rapidly determine the degree of polymerization (DP) of natural cellulose (cotton and wood) pulp produced by a new clean pulping process. One hundred and ninety five samples were collected and their DP data were determined by standard method GB/T 9107—1999. The spectroscopy measurement method of the samples was studied and their near-infrared diffuse reflectance spectra were collected. The quantitative DP calibration models of one mixed cotton & wood and two separate cotton and wood pulps were established by partial least squares (PLS). The optimum models were developed using the spectra pretreated by derivative, autoscaling and mean-centering, and their performance is as follows: correlation coefficient of 0.980, 0.993 and 0.886, and RMSEP of 147, 143 and 53, respectively. The accuracy of NIR method was also studied. The results show that the accuracy of the two separate models of cotton and wood is better than that of the mixed model, and the precision of the two separate models is better than that of GB/T9107—1999. The identification model of cotton and wood was also established using principal component analysis (PCA). The result shows that the spectra of cotton and wood pulp have obvious difference, and the model can identify successfully the two kinds of pulp. The result indicates that the new NIR method is feasible to realize the on-line analysis of polymerization degree of natural cellulose pulp with its advantage of rapidness and easy operation.
Keywords:Near-infrared diffuse reflectance spectroscopy  Natural cellulose pulp  Degree of polymerization  Clean pulping process
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