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[利用近红外漫反射光谱法测定天然纤维素纸浆的聚合度]

[Determination of degree of polymerization of natural cellulose pulp using near-infrared diffuse reflectance spectroscopy].

作者信息

Yi Ying, Song Chun-Feng, Yuan Hong-Fu, Xie Jin-Chun, Du Jun-Qi, Li Xiao-Yu

出版信息

Guang Pu Xue Yu Guang Pu Fen Xi. 2014 Sep;34(9):2372-6.

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.

摘要

提出了一种近红外(NIR)漫反射光谱的新方法,用于快速测定通过新型清洁制浆工艺生产的天然纤维素(棉花和木材)纸浆的聚合度(DP)。收集了195个样品,并通过标准方法GB/T 9107-1999测定其DP数据。研究了样品的光谱测量方法,并收集了它们的近红外漫反射光谱。通过偏最小二乘法(PLS)建立了一种棉木混合浆以及两种单独的棉浆和木浆的定量DP校准模型。使用经过导数、自动缩放和均值中心化预处理的光谱开发了最佳模型,其性能如下:相关系数分别为0.980、0.993和0.886,RMSEP分别为147、143和53。还研究了近红外方法的准确性。结果表明,两种单独的棉浆和木浆模型的准确性优于混合模型,且两种单独模型的精密度优于GB/T9107-1999。还使用主成分分析(PCA)建立了棉浆和木浆的识别模型。结果表明,棉浆和木浆的光谱有明显差异,该模型能够成功识别这两种纸浆。结果表明,这种新的近红外方法具有快速、操作简便的优点,可实现天然纤维素纸浆聚合度的在线分析。

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