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Research on Error Reduction of Path Change of Liquid Samples Based on Near Infrared Trans-Reflective Spectra Measurement

文献类型： 外文期刊

作者： Wang Ya-hong 1 ; Dong Da-ming 1 ; Zhou Ping 2 ; Zheng Wen-gang 1 ; Ye Song 2 ; Wang Wen-zhong 1 ;

作者机构： 1.Beijing Acad Agr & Forestry Sci, Beijing Res Ctr Intelligent Equipment Agr, Beijing 100097, Peoples R China

2.Guilin Univ Elect Technol, Sch Elect Engn & Automat, Guilin 541004, Peoples R China

关键词： Near infrared spectroscopy;Optical path;Pretreatment;Partial least squares

期刊名称：SPECTROSCOPY AND SPECTRAL ANALYSIS （ 影响因子：0.589； 五年影响因子：0.504 ）

ISSN： 1000-0593

年卷期： 2014 年 34 卷 10 期

页码：

收录情况： SCI

摘要： Based on sucrose solution as the research object, this paper measured the trans-reflective spectrum of sucrose solution of different concentration by the technique of near infrared spectrum in three optical path (4, 5, 6 mm). Five kinds of pretreatment method (vector normalization, baseline offset correction, multiplicative scatter correction, standard normal variate transformation, a derivative) were used to eliminate the influence of the optical path difference, and to establish model of the calibration set in combination with the PLS(Partial Least Squares)method. Five kinds of pretreatment method could restrain the interference of light path in varying degrees. Compared with the PLS model of original spectra, the model of multiple scattering correction combined with PLS method is the optimal model. The results of quantitative analysis of original spectra: the number of principal component PC=6, the determination coefficient R-2 = 0.891 278, the determination coefficient of cross validation R-CV(2) = 0.888 374, root mean square error of calibration RMSEC = 1.704%, root mean square error of cross validation RMSECV = 1.827%; The results of quantitative analysis of spectra after MSC pretreatment: the number of principal component PC=3, the determination coefficient R-2 = 0.987 535, the determination coefficient of cross validation R-CV(2) = 0.983 343, root mean square error of calibration RMSEC=0.89%, root mean square error of cross validation RMSECV=1.05%. The correlation coefficient of the prediction set is as much as 0.976 22. root mean square error of prediction is 0.01, lesser than 0.014 36. The results show that the MSC can eliminate the influence of optical path difference, improve the prediction precision and improve the stability.

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