Discrimination of Dioscorea species (Chinese yam) using FT-IR integrated with chemometric approach

文献类型： 外文期刊

第一作者： Chen, Jingying

作者： Chen, Jingying;Liu, Baocai;Chen, Ying;Zhang, Wujun;Zhao, Yunqing;Huang, Yingzhen;Yam, Mun Fei;Tew, Wan Yin;Ong, Peng Shun;Yan, Chong Seng;Loh, Hui Wei;Yam, Mun Fei;Chen, Ying;Yam, Mun Fei

作者机构：

关键词： Dioscorea; FT-IR; Chemometric; Classification; Principal Component Analysis; Discriminant analysis

期刊名称：SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY （ 影响因子：4.4； 五年影响因子：3.9 ）

ISSN： 1386-1425

年卷期： 2023 年 303 卷

页码：

收录情况： SCI

摘要： Dioscorea oppositifolia is an important crop and functional food. D. oppositifolia tuber is often adulterated with D. persimilis, D. alata, and D. fordii tuber in the commercial market. This study proposed an integrated Fourier transform infrared spectroscopy (FT-IR) with chemometric approach to differentiate these four Dioscorea species. A total of 107 Dioscorea spp. tuber samples were collected from different locations in China. Principal Component Analysis (PCA), PCA-Class, and Orthogonal Partial Least Square Discriminant Analysis (OPLS-DA) were utilised to classify the FT-IR spectra. In this PCA is unable to differentiate the Dioscorea spp. tuber effectively. However, PCA-Class and OPLS-DA can distinguish spp. these 4 species Dioscorea tuber with high accuracy, sensitivity, and specificity. Additionally, the RMSEE, RMSEP and RMSECV values for OPLS-DA model were low, showing that it is a good model. The combination of FT-IR with the PCA-Class and OPLS-DA is practical in discriminating Dioscorea spp. tubers.

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