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Study on Application of NIR Spectral Information Screening in Identification of Maca Origin

文献类型： 外文期刊

作者： Wang Yuan-zhong 1 ; Zhao Yan-li 1 ; Zhang Ji 1 ; Jin Hang 1 ;

作者机构： 1.Yunnan Acad Agr Sci, Inst Med Plants, Kunming 650200, Peoples R China

关键词： Lepidium meyenii Walp.;NIR spectroscopy;Identification;Spectral information screening;Model population analysis

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： 2016 年 36 卷 2 期

页码：

收录情况： SCI

摘要： (GA) and subwindow permutation analysis (SPA). The spectral variable information filtered was evaluated by model population analysis (MPA). The results showed that RMSECV (SPA) > RMSECV (CARS) > RMSECV (MC-UVE) > RMSECV (GA), were 2. 14, 2. 05, 2. 02, and 1. 98, and the spectral variables were 250, 240, 250 and 70, respectively. According to the spectral variable filtered, partial least squares discriminant analysis (PLS-DA) was used to build the model, with random selection of 97 samples as training set, and the other 40 samples as validation set. The results showed that, R-2 : GA>MC-UVE>CARS> SPA, RMSEC and RMSEP: GA

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