The Application of Classical Least Square Algorithm in the Quantitative Analysis of Lime in Wheat Flour by ATR-MIR Spectroscopy

文献类型： 外文期刊

第一作者： Wang, Dong

作者： Wang, Dong;Wang, Jihua;Wang, Dong;Han, Donghai;Wang, Dong;Ma, Zhihong;Pan, Ligang;Zhao, Liu;Han, Ping;Wang, Jihua

作者机构：

关键词： Classical Least Square;Attenuate Total Reflection;Mid-Infrared Spectroscopy;Wheat Flour;Lime

期刊名称：COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE V, PT II

ISSN： 1868-4238

年卷期： 2012 年 369 卷

页码：

收录情况： SCI

摘要： In this thesis, classical least square (CLS) regression was applied in the attenuate total reflection mid-infrared (ATR-MIR) spectra data processing of lime in wheat flour to develop the corrected peak height model of the raw spectra, the corrected peak area model of the raw spectra, the corrected peak height model of the 2nd derivative spectra and the corrected peak area model of the 2nd derivative spectra respectively. The result indicated that the correlation coefficients of the four models mentioned above are 0.9648, 0.9696, -0.9646 and -0.9599 respectively. F-test result indicated that a very remarkable correlation exists between the estimated and specified values of the calibration set and external validation set. The detection limits of the four models mentioned above are 3.51 %, 3.21 %, 3.51 % and 3.69 % respectively, which can fulfill the demand for the rapid quality safe screening of wheat flour in the market. This method, to some extent, can provide some references for not only the design and manufacturing of the special MIR instrument for the quality safe control of wheat flour in the market but also the quantitative determination of banned additives in wheat flour.

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[1]The Application of CLS Algorithm in the Quantitative Analysis of Lime in Wheat Flour by NIR Spectroscopy. Wang, Dong,Ma, Zhihong,Pan, Ligang,Zhao, Liu,Han, Ping,Wang, Jihua. 2012

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