Improved Discrimination for Brassica Vegetables Treated with Agricultural Fertilizers Using a Combined Chemometric Approach
文献类型: 外文期刊
第一作者: Yuan, Yuwei
作者: Yuan, Yuwei;Hu, Guixian;Zhang, Yongzhi;Xu, Xiahong;Shao, Shengzhi;Zhu, Jiahong;Wang, Qiang;Yuan, Yuwei;Hu, Guixian;Zhang, Yongzhi;Xu, Xiahong;Shao, Shengzhi;Zhu, Jiahong;Wang, Qiang;Chen, Tianjin;Zhao, Ming;Li, Yong;Rogers, Karyne M.
作者机构:
关键词: stable isotope;multielement;Brassica chinensis;chemometric;linear discriminant analysis (LDA)
期刊名称:JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY ( 影响因子:5.279; 五年影响因子:5.269 )
ISSN:
年卷期:
页码:
收录情况: SCI
摘要: Multielement and stable isotope (delta C-13, delta N-15, delta H-2, delta O-18, Pb-207/Pb-206, and Pb-208/Pb-206) analyses were combined to provide a new chemometric approach to improve the discrimination between organic and conventional Brassica vegetable production. Different combinations of organic and conventional fertilizer treatments were used to demonstrate this authentication approach using Brassica chinensis planted in experimental test pots. Stable isotope analyses (delta N-15 and delta C-13) of B. chinensis using elemental analyzer isotope ratio mass spectrometry easily distinguished organic and chemical fertilizer treatments. However, for low-level application fertilizer treatments, this dual isotope approach became indistinguishable over time. Using a chemometric approach (combined isotope and elemental approach), organic and chemical fertilizer mixes and low-level applications of synthetic and organic fertilizers were detectable in B. chinensis and their associated soils, improving the detection limit beyond the capacity of individual isotopes or elemental characterization. LDA shows strong promise as an improved method to discriminate genuine organic Brassica vegetables from produce treated with chemical fertilizers and could be used as a robust test for organic produce authentication.
分类号: R15`S
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