Near Infrared Spectroscopy Combining with Chemometrics for Qualitative Identification of Cadmium-Polluted Rice

文献类型： 外文期刊

第一作者： Li Gao-Yang

作者： Li Gao-Yang;Huang Lu-Hong;Su Dong-Lin;Liu Wei;Zhu Xiang-Rong;Li Gao-Yang;Su Dong-Lin;Liu Wei;Shan Yang

作者机构： Hunan Acad Agr Sci, Hunan Food Test & Anal Ctr, Changsha 410125, Hunan, Peoples R China;Cent S Univ, Longping Coll, Grad Sch, Changsha 410125, Hunan, Peoples R China

关键词： Near infrared spectroscopy;Chemometrics;Rice;Cadmium-polluted;Qualitative identification

期刊名称：CHINESE JOURNAL OF ANALYTICAL CHEMISTRY （ 2020影响因子：1.134； 五年影响因子：0.909 ）

ISSN： 0253-3820

年卷期： 2015 年 43 卷 4 期

页码：

收录情况： SCI

摘要： Near-infrared (NIR) diffuse reflectance spectroscopy and chemometrics method were used to discriminate cadmium. polluted rice. The samples set contained 120 spectra of qualified (n=49) and excessive (n=71) was collected and scanned. After optimization, a combination (smoothing coupled with first derivative and mean centering) was utilized as a spectral pretreatment method. Competitive adaptive reweighed sampling (CARS) was adapted to selected 45 key variables, and each band of the variables was assigned. Five modeling methods including partial least squares discriminant analysis (PLS-DA), linear discriminant analysis (LDA), K-nearest neighbor (KNN), soft independent modeling class analog (SIMCA) and principal component analysis. discriminant analysis (PCA-DA) were used and compared. PCA-DA was finally selected as the optimal qualitative model. The accuracy rate of training set and testing set for PCA-DA method was 98.8% and 91.7%, respectively. The results showed that NIR spectroscopy could be used as a rapid, non. destructive and convenient analytical method for primary screening and detecting cadmium. polluted rice.

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