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《Journal of Anhui Agricultural Sciences》 2008-17
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Application of Correlation Analysis of Multi-component Technology in the Near-infrared Detection

CHEN Bin et al(College of Food and Biological Engineering,Jiangsu University,Zhenjiang,Jiangsu 212013)  
With the theory of signal analysis of the related technology,correlation analysis of the three components of polyester-cotton-wool samples and the two components of cotton-wool were conducted.The cotton-wool information of three components samples were extracted and quantitative analysis of wool was studied.22 samples were chosen in 31 samples to Constitute NIR(Near Infrared,NIR) correction model based on the partial least squares(PLS)method.And the remaining 9 samples were forecasted.The results showed that the predicted relative mean square deviation and correlation coefficients rose from 3.557 5 and 0.985 5 to 2.783 5 and 0.987 6,respectively,by using correlation analysis.Test proved that the correlation analysis of multi-component technology could extract the NIR spectral information in complex mixed samples,which created condition for the establishment of higher precision correction model.
【Fund】: 浙江省科技计划重点项目(2004C21043)
【CateGory Index】: O657.33
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