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Modeling of stable isotope and multi-element compositions of jujube (Ziziphus jujuba Mill.) for origin traceability of protected geographical indication (PGI) products in Xinjiang, China

文献类型： 外文期刊

作者： Wang, Cheng 1 ; He, Wei-Zhong 1 ; Zhao, Duo-Yong 1 ; Liu, Zhi 2 ; Fan, Ying-ying 1 ; Tian, Wei-Na 1 ; Wu, Wen-Liang 4 ; R 1 ;

作者机构： 1.Xinjiang Acad Agr Sci, Inst Qual Stand & Testing Technol Agroprod, Urumqi 830091, Peoples R China

2.Hunan Univ Humanities Sci & Technol, Coll Agr & Biotechnol, Loudi 417000, Peoples R China

3.Minist Agr & Rural Affairs, Agr Prod Qual & Safety Risk Assessment Lab, Urumqi 830091, Peoples R China

4.China Agr Univ, Coll Resources & Environm Sci, Beijing 100193, Peoples R China

5.Natl Isotope Ctr, GNS Sci, 30 Gracefield Rd, Lower Hutt 5040, New Zealand

关键词： PGI jujube; Food composition analysis; OPLS-DA modeling; Food safety; Food integrity

期刊名称：JOURNAL OF FOOD COMPOSITION AND ANALYSIS （ 影响因子：4.556； 五年影响因子：4.89 ）

ISSN： 0889-1575

年卷期： 2020 年 92 卷

页码：

收录情况： SCI

摘要： Jujube is widely grown in Xinjiang province, China, including two high-value PGI products, Charkhlik Hui jujube and Khotan Jun jujube. Origin mislabeling and substitution of PGI jujube by inferior products seriously harms their reputation and has potential food safety risks. In this study, stable isotope (delta C-13, delta N-15, delta H-2, delta O-18) and elemental (Na, Mg, Al, P, K, Ca, Ti, Cr, Mn, Fe, Co, Ni, Cu, Zn, As, Sr, Mo, Cd, Sb, Ba, Pb) compositions of jujube from five different regions across Xinjiang province were analyzed by orthogonal partial least squares-discriminant analysis (OPLS-DA) to verify the geographical origin of jujube and authenticate PGI products. A total of 167 Hui jujube and 156 Jun jujube samples, together with their associated soils were collected annually from 2013 to 2018. The regional, varietal and inter-annual differences of stable isotope and elemental compositions of jujube and their correlation with soil values were analyzed using one-way ANOVA and multivariate statistics. The discriminant accuracies of OPLS-DA modeling for both Hui and Jun jujube samples collected in 2016 were higher than 90 %. Over a longer five-year (from 2013 to 2018), the discriminant accuracies decreased slightly, but were still acceptable at 85 % and 75 % for the two varieties. The most important variables for discrimination models were Na, Al, Ba, and delta C-13 for Hui jujube, delta O-18 and delta N-15 for Jun jujube, respectively. The study show that this strategy holds good promise as a tool to combat mislabeling and fraudulent conduct and has the ability to protect PGI jujube produced in Xinjiang province.

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