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A Comparison of Vibrational Spectroscopic Methods for Analyzing Wool/Polyester Textile Blends

机译:振动光谱法分析羊毛/聚酯纺织混合物的比较

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摘要

Vibrational spectroscopic techniques of FT-Raman, mid-infrared attenuated total reflectance, mid-infrared diffuse reflectane, and near infrared diffuse reflectane are investigated for the quantitative analysis of wool/polyester textile blends. Data sets based on undyed fabric samples are anlayzed using both classicla least squares and partial least squares approaches. The PLS calibrations based on the ATR and first derivative NIR data are superior with standard errors of cross validation less than 1.5. A validation set consisting of samples extremetly different from those in the training set gieves standard errors of prediction of 5.2 and 2.4, respectively. These models are used to analyze blended batts and washed fabric sampels. Useful results can be obtained independent of such parameters as sample structure and coloration. The complementary nature of these techniques makestheir combination valuable as an industrial quality control, monitoring, and trouble shooting tool.
机译:研究了FT-拉曼光谱,中红外衰减全反射率,中红外漫反射烷和近红外漫反射烷的振动光谱技术,用于定量分析羊毛/聚酯纺织混合物。使用经典最小二乘法和偏最小二乘方法对基于未染色织物样本的数据集进行分析。基于ATR和一阶导数NIR数据的PLS校准具有更高的优势,交叉验证的标准误差小于1.5。一个由与训练集中的样本极为不同的样本组成的验证集分别提供了5.2和2.4的预测标准误差。这些模型用于分析混纺棉絮和水洗的织物样品。可以独立于样品结构和颜色等参数获得有用的结果。这些技术的互补性质使它们的组合具有作为工业质量控制,监视和故障排除工具的价值。

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