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新疆红枣营养品质与稳定同位素及矿物元素特征产地溯源比较
引用本文:何伟忠,赵多勇,范盈盈,王成,刘志.新疆红枣营养品质与稳定同位素及矿物元素特征产地溯源比较[J].核农学报,2021,35(5):1099-1112.
作者姓名:何伟忠  赵多勇  范盈盈  王成  刘志
作者单位:1新疆农业科学院农业质量标准与检测技术研究所/农业农村部农产品质量安全风险评估实验室/新疆农产品质量安全重点实验室,新疆 乌鲁木齐 830091;2新疆农业科学院科研管理处,新疆 乌鲁木齐 830091;3浙江省农业科学院农产品质量标准研究所/农业农村部农产品信息溯源重点实验室,浙江 杭州 310021
基金项目:新疆维吾尔自治区重点实验室开放课题(2015KL023、2019D04013),新疆维吾尔自治区天山英才计划(新人社函[2017]711号),新疆维吾尔自治区天山雪松计划(2018XS15)
摘    要:为开发基于营养品质、稳定同位素及矿物元素分析的不同产地新疆红枣地理标志产品溯源新方法,本研究采集了2016年新疆不同产区(若羌、和田、阿克苏、麦盖提等15个县市)97个红枣种植地块的50份灰枣和47份骏枣样本,测定其果肉中13类营养品质指标(蛋白质、还原糖、自由氨基酸、总黄酮等),稳定碳、氮、氢、氧同位素比率(δ13C、δ15N、δ2H和δ18O)及21种微量矿物元素含量(Na、Mg、K、Fe和Zn等)用于其产地溯源分析与建模。采用单因素方差(one-way ANOVA)法比较不同产区间营养品质、稳定同位素比率及矿物元素特征的差异,利用偏最小二乘判别分析(PLS-DA)分别对两类红枣内在品质特征建立产地判别模型,对比其溯源准确度。结果表明,红枣稳定同位素及矿物元素产地特征差异比营养品质特征更明显,溯源判别准确度得到明显提升。灰枣和骏枣营养品质参数建模总体判别准确度分别为86.00%和85.11%,稳定同位素及矿物元素参数判别准确度分别为94.12%和95.74%,且两种地理标志保护的红枣品牌(若羌灰枣和和田玉枣)产地判别准确度高达100%,而其他产地误判为这两个产地红枣的概率为0%。因此,该策略有望作为新疆红枣产地溯源与地理标志农产品保护的可靠技术。

关 键 词:新疆红枣  地理标志产品(PGI)  营养品质  稳定同位素及矿物元素  产地溯源  
收稿时间:2019-10-17

Comparison of the Nutrient Quality,Stable Isotope and Multi-Element Characteristics of Xinjiang Jujube for Origin Traceability
HE Weizhong,ZHAO Duoyong,FAN Yingying,WANG Cheng,LIU Zhi.Comparison of the Nutrient Quality,Stable Isotope and Multi-Element Characteristics of Xinjiang Jujube for Origin Traceability[J].Acta Agriculturae Nucleatae Sinica,2021,35(5):1099-1112.
Authors:HE Weizhong  ZHAO Duoyong  FAN Yingying  WANG Cheng  LIU Zhi
Abstract:This study aimed to develop new different origin traceability methods for Xinjiang protected geographical indication(PGI) jujube products using nutrient quality, stable isotope and multi-element characteristics. 50 Hui jujube and 47 Jun jujube samples were collected from 97 fields in 15 farming regions of Xinjiang province (Charkhlik, Khotan, Aksu and Markit, etc.). 13 nutrient quality indexes (protein, reducing sugar, free amino acids, total flavonoids, etc.), isotope ratios of stable carbon, nitrogen, hydrogen, oxygen(δ13C, δ15N, δ2H, δ18O), and 21 trace element contents (Na, Mg, K, Fe and Zn, etc.) were determined. One-way ANOVA was applied for the difference comparison of single nutrient quality, stable isotope and multi-element characteristics (P<0.05) of jujubes between regions. Partial least squares-discriminant analysis (PLS-DA) modeling of these two kinds of signatures showed that stable isotope and multi-element of jujubes were more significantly different than nutrient quality, which can improve the discriminant accuracies of origin traceability. The discriminant accuracies using nutrient indexes were just 86.00% and 85.11% for Hui jujube and Jun jujube, while they can be improved to 94.12% and 95.74% using stable isotope and multi-element signatures, respectively. Notably, the accuracies for two PGI jujubes (Charkhlik Hui jujube and Khotan Jun jujube) were up to 100%, and the mis-discriminant probability was 0%. Therefore, this strategy maybe promising to be a reliable tool for origin traceability of Xinjiang PGI jujube products.
Keywords:Xinjiang jujube  protected geographical indication(PGI)  nutrient quality  stable isotope and multi-element  origin traceability  
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