Zhou Ying, Xu Hui-rong, Ying Yi-bin
College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310029, China.
Guang Pu Xue Yu Guang Pu Fen Xi. 2008 Dec;28(12):2804-7.
NIR technology has gained more and more attention of researchers because of its advantage of simplicity, quickness and non destructive property of detection. And combined with chemometrics method, it could remedy some disadvantages such as overlapping of peaks and feebleness of information. Now, NIR has been applied in many fields such as medicine and chemical industry. Textile is an important part in human life. With the development of society, people pay more attention to this field. Using microscope to discriminate textile fibre by man and using solution method to detect content of fibre are two main detection methods in textile national standards. These methods of discrimination demand a lot of training and practical experience. At the same time, many artificial factors in the process may result in different examination results of the same sample. In addition, they are time-consuming (6 hours on average) and not suitable for large quantity of sample detection. Therefore, doubtless finding another more quickly and nondestructive way to complete detection of textile fibre makes great sense. Compared with microscope method and chemical method, NIR technical could decrease test time down to about 30 seconds. Because the structure of natural fibre is more complex than artificial fibre, NIR application in this field is much more difficult and demands more experience. So many researches were done by experts domestically and abroad in this field. The scope of these researches includes differentiation of foreign substance in natural fibre such as wool, cotton, and silk; prediction of natural fibre content such as residual grease content, mean fibre diameter (MFD) and moisture content. The present paper focuses mainly on the application of NIR in the textile industry, especially the analysis of textile natural raw material, including discrimination of natural fibre variety and detection of foreign fibre.
近红外（NIR）技术因其检测具有简便、快速、无损的优点而越来越受到研究人员的关注。并且与化学计量学方法相结合，它可以弥补一些缺点，如峰重叠和信息微弱。如今，近红外已应用于医学和化工等许多领域。纺织品是人类生活中的一个重要组成部分。随着社会的发展，人们越来越关注这个领域。在纺织品国家标准中，人工使用显微镜鉴别纺织纤维和使用溶液法检测纤维含量是两种主要的检测方法。这些鉴别方法需要大量的培训和实践经验。同时，该过程中的许多人为因素可能导致对同一样品的检测结果不同。此外，它们耗时较长（平均6小时），不适合大量样品检测。因此，无疑找到另一种更快速且无损的方法来完成纺织纤维的检测具有重要意义。与显微镜法和化学法相比，近红外技术可将测试时间缩短至约30秒。由于天然纤维的结构比人造纤维更复杂，近红外在该领域的应用更加困难，需要更多经验。因此，国内外专家在该领域进行了许多研究。这些研究的范围包括鉴别天然纤维（如羊毛、棉花和丝绸）中的异物；预测天然纤维含量，如残留油脂含量、平均纤维直径（MFD）和水分含量。本文主要关注近红外在纺织工业中的应用，特别是纺织天然原材料的分析，包括天然纤维种类的鉴别和外来纤维的检测。
