第34卷，第12期 2014年12月
光谱学与光谱分析 Spectroscopy and Spectral Analysis
Vol. 34,No.12 -pp3246-3252
December,2014
Non-Destructive and Fast Identification of Cotton-Polyester Blend Fabrics by the Portable Near-Infrared Spectrometer
LI Wen-xia', LI Feng',ZHAO Guo-liang',TANG Shi-jun", LIU Xiao-ying 1 . School of Material Science and Engineering , Beijing Institute of Fashion and Technology , Beijing100029 , China 2 . General Logistics Department Quartermaster Equipment Institute of People's Liberation Army , Beijing 100010 , China Abstract A series of 376 cotton-polyester (PET ) blend fabries were studied by a portable near-infrared (NIR) spectrometer , A NIR semi-quantitative-qualitative calibration model was established by Partial Least Squares(PLS) method combined with qualitative identification coefficient . In this process , PLS method in a quantita-tive analysis was used as a correction method , and the qualitative identification coefficient was set by the con-tent of cotton and polyester in blend fabrics . Cotton-polyester blend fabrics were identified qualitatively by the model and their relative contents were obtained quantitatively , the model can be used for semi-quantitative identification analysis . In the course of establishing the model , the noise and baseline drift of the spectra were eliminated by Savitzky-Golay (S-G) derivative . The influence of waveband selection and different pre-process-ing method was also studied in the qualitative calibration model . The major absorption bands of 1o0% cotton samples were in the 1 400~1 600 nm region, and the one for 100% polyester were around 1 600~1 800 nm the absorption intensity was enhancing with the content increasing of cotton or polyester . Therefore , the cot-ton-polyester's major absorption region was selected as the base waveband , the optimal waveband (1 1o0 ~ 2 500 nm) was found by expanding the waveband in two directions (the correlation coefficient was 0. 6 , and wave-point number was 934 ). The validation samples were predicted by the calibration model , the results showed that the model evaluation parameters was optimum in the 1 100~2 500 nm region , and the combina-tion of S-G derivative + multiplicative scatter correction (MSC ) and mean centering was used as the pre-process-ing method . RC (relational coefficient of calibration ) value was O. 978, RP (relational coefficient of prediction ) value was 0. 940 , SEC (standard error of calibration ) value was 1, 264 , SEP (standard error of prediction ) val-ue was 1, 590, and the sample's recognition accuracy was up to 93. 4% . It showed that the cotton-polyester
blend fabrics could be predicted by the semi-quantitative-qualitative calibration model KeywordsCotton-polyester blend fabrics ; NIRS ; Semi-quantitative-qualitative ; PLS
中图分类号：0657.3
Introduction
文献标识码：A
DOI:10, 3964/i.issn.1000-0593(2014)12-3246-07
tile waste. Meanwhile, military uniforms upgrades in recent years , the post consumer uniforms are up to dozens of thou-sand tons annually . The environment is seriously affected by
With the improvement of people's living standards , more and more pressure has been made to the environment by tex -Received : 2013-11-20 ; aceepted : 2014-03-15
these textile wastes . Therefore, the recycling of the waste textiles is imminent today ."Supporting the recycling of waste
Foundation item : the National High Technology Research and Development Program of China (the "863" Program )(2012A A063006 ), and Sci-
ence and Technology Transfer and Industrialization Projects of Beijing M unicipal Education Commission -Recycling of the Tex-tile Wastes in Beijing (131105)
Biography : LI Wen-xia, Female , (1966—), Master , Associate Professor , w hich main research area is focus on the applying of near-infrared
and mid-infrared spectrum
e-mail : liwenxia307@ 163 .com