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| 轻涂纸涂层中羧基丁苯胶乳含量的测定 |
| Determination of the SB-latex Content in Coating Layer of Light Weight Coated Paper |
| 收稿日期： |
| DOI：10.11980/j.issn.0254-508X.2013.07.002 |
| 关键词: 轻涂纸 羧基丁苯胶乳 ATR-FTIR PCF PLS GRNN |
| Key Words:LWC paper SB-latex ATR-FTIR PCF PLS GRNN |
| 基金项目:本课题得到天津市科技创新体系及条件平台建设项目（10SYSYJC-28000）的支持。 |
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| 摘要:采用衰减全反射傅里叶变换红外光谱（ATR-FTIR）对涂有不同羧基丁苯胶乳含量的轻涂纸表面进行测定，选取羧基丁苯胶乳在波数为2922 cm-1、1028 cm-1、756 cm-1和699 cm,sup>-1 4处特征吸收峰并使用红外光谱软件计算其峰面积，由此得到不同胶乳含量与这4处吸收峰峰面积之间的关系；分别采用多项式曲线拟合（PCF）、偏最小二乘回归（PLS regression）和广义回归神经网络（GRNN）进行建模，并对3种模型的预测效果进行比较。结果表明，轻涂纸涂层中的ATR-FTIR信息可以用来测定轻涂纸涂层中的羧基丁苯胶乳含量，3种预测模型中，GRNN方法具有最佳的预测效果，偏差最小（最大偏差为-3.39%）。 |
| Abstract:In this paper, the styrene-butadiene latex (SB-latex) contents in the coating layer of light weight coated (LWC) paper were measured by using an attenuated total reflectance-Fourier transform infrared spectroscopy (ATR-FTIR). The peak areas under the specific absorption peaks at 2922 cm-1, 1028 cm-1, 756 cm-1, and 699 cm-1 were calculated, by using the relative software. So the relation between different contents of SB-latex and the peak areas under those four peaks was obtained. Three different models for predicting the SB-latex content in the coating layer of LWC paper were established by applying the polynomial curve fitting (PCF), partial least-squares regression (PLS regression), and generalized regression neural network (GRNN), respectively. The results showed that the attenuated total reflectance-Fourier transform infrared spectral information of the coating layer of LWC paper can be used to determine the SB-latex content in the coating layer. Among these three methods of predicting the content of SB-latex in the coating layer, the GRNN model has the best predicting effect since it has the minimum error, i.e., the maximum error is -3.39%. |
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