光谱学与光谱分析 |
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NIR Analysis of Textile Natural Raw Material |
ZHOU Ying,XU Hui-rong*,YING Yi-bin |
College of Biosystems Engineering and Food Science,Zhejiang University,Hangzhou 310029,China |
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Abstract 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.
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Received: 2007-09-26
Accepted: 2007-12-28
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Corresponding Authors:
XU Hui-rong
E-mail: hrxu@zju.edu.cn
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