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《CHINESE JOURNAL OF ANALYTIEAL CHEMISTRY》 2000-06
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Application of Principal Component-All Possible Regression in Quantitative Analysis of Flue-cured Tobacco and Wheat Using Near-Infrared Spectroscopy

Zhang Luda; Shen Xiaonan;Zhao Longlian;Li Junhui (College of Basic Science and Technology,China Agricultural University,Beijing 100094) Zhang Jianping; Xie Wenyan;Shu Ruxin (Shanghai Tobacco (Group)Corporation Thnical Center,Shanghai 200082)  
In this paper, near-infrared spectroscopy quantitative analysis of samples of flue-cured tobacco and wheat is discussed using principal components-all possible regression (PCR-SR).The study shows the calibration models for the determination of total sugare,reducing sugars in flue-cured tobacco and for protein in wheat have good predictive results,and the calculation results of principal component-all possible regression are as good as the results of partial least square method.
【CateGory Index】: O657.3
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