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Predictive geographical authentication of green tea with protected designation of origin using a random forest model

文献类型: 外文期刊

作者: Deng, Xunfei 1 ; Liu, Zhi 1 ; Zhan, Yu 3 ; Ni, Kang 4 ; Zhang, Yongzhi 1 ; Ma, Wanzhu 1 ; Shao, Shengzhi 1 ; Lv, Xiaonan; 1 ;

作者机构: 1.Zhejiang Acad Agr Sci, Hangzhou 310021, Zhejiang, Peoples R China

2.Minist Agr & Rural Affairs China, Key Lab Informat Traceabil Agr Prod, Hangzhou 310021, Zhejiang, Peoples R China

3.Sichuan Univ, Dept Environm Sci & Engn, Chengdu 610065, Sichuan, Peoples R China

4.Chinese Acad Agr Sci, Tea Res Inst, Hangzhou 310008, Zhejiang, Peoples R China

5.GNS Sci, Natl Isotope Ctr, Lower Hutt 5040, New Zealand

关键词: Geographical origin; Green tea; Random forest; Geochemical proxies; Predictive model; Classification

期刊名称:FOOD CONTROL ( 影响因子:5.548; 五年影响因子:5.498 )

ISSN: 0956-7135

年卷期: 2020 年 107 卷

页码:

收录情况: SCI

摘要: Reliable origin authentication methods are critical for protecting high-value food products with designated geographical origins. A total of 623 tea samples were collected from important green tea production regions around China from 2012 to 2016. A Random Forest model (RF) with 19 input predictors (e.g., delta C-13, Mg-24, Rb-85, and Pb-206/Pb-207) was developed. Our RF model not only discriminated Westlake Xihu Longjing green tea (XHLJ) from other regions with an accuracy of 97.6%, but also correctly identified green tea from surrounding regions with an accuracy of 97.9%. The geographical discrimination of tea subsequently harvested in the following years also showed good reliability. Predictive accuracies were higher than 91%. Rb-85, Mg-24, delta C-13 and K-39 were the most important geographical proxies for determining geographical origin of tea with a relative contribution of 20.6%, 12.5%, 12.1% and 7.4%, respectively. This RF model showed higher classification accuracy than other commonly used chemometrics models and provides a new insight into the use of predictive models utilizing historical data for geographical authentication of agricultural products with Protected Designation of Origin (PDO).

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