Qualitative Determination of the Components of Textile Products Using near Infrared Spectroscopy

Dong-min Wang, Furong Huang, Huacai Chen, Shangzhong Jin, Xingdan Chen
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Abstract

In the paper, A total of 40 pure or two-mixed textile weaves were prepared and classification of these samples was introduced using near infrared spectroscopy (NIRS), all textile samples are selected among four classes, which are Cotton-Terylene, Cotton-Polyurethane, Cotton and Terylene, according to theirs components. Near infrared diffuse reflectance spectra of the samples were collected, Mahalanobis distance was used to discriminate the samples coupled with principle components analysis (PCA), the results showed that near infrared spectroscopy could determine which class one textile weave belongs to easily comparing with traditional methods. In addition, the expectation of the further research on qualitative determination of textile products by NIR technology was discussed in the end of this paper.
近红外光谱法定性测定纺织产品成分
本文共制备了40种纯纺或双纺织物,并介绍了近红外光谱(NIRS)对这些织物样品的分类,将所有纺织品样品按成分分为棉-涤纶、棉-聚氨酯、棉和涤纶四类。采集样品的近红外漫反射光谱,利用马氏距离结合主成分分析(PCA)对样品进行判别,结果表明,与传统方法相比,近红外光谱法可以很容易地确定织物属于哪一类。最后,对近红外技术在纺织产品定性分析方面的进一步研究进行了展望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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