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基于稳定同位素和多元素分析及多元建模的中国甜樱桃()地理起源追溯

Geographical origin traceability of sweet cherry () in China using stable isotope and multi-element analysis with multivariate modeling.

作者信息

Wang Shuanghui, Chen Piao, Liu Yuchao, Chen Chang, Tian Jing, Liu Zhi, Li Bin, Mei Xianxian, Chen Youlan, Zhang Yue, Li Chenghao, Xu Can, Gong Hansheng

机构信息

College of Agriculture and Biotechnology, Hunan University of Humanities, Science and Technology, Loudi 417000, China.

Qinghai Light Industry Research Institute Co., Ltd, Xining 810016, China.

出版信息

Food Chem X. 2024 May 16;23:101477. doi: 10.1016/j.fochx.2024.101477. eCollection 2024 Oct 30.

DOI:10.1016/j.fochx.2024.101477
PMID:39669898
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11637194/
Abstract

The deliberately origin mislabeling of sweet cherry causes significantly disruptions to market integrity and consumers' trust. In this study, 153 cherry samples from five provinces in China and the corresponding irrigation water and soil samples were collected. 5 stable isotope ratios (δC, δN, δH, δO, Sr/Sr) and 8 multi-element contents (Na, Mg, P, K, Ca, Fe, Zn, Se) of cherry were determined by EA-IRMS and ICP-MS to study isotopic fractionation and elemental enrichment mechanisms for origin traceability. The results show the δH and δO of cherry exhibit a strong correlated with its irrigation water (r > 0.85), while δN, Sr/Sr, Fe, Zn and Se contents are related to its cultivated soil (r > 0.75), and the δC is related to the local microclimate. ANOVA reveals that the regional differences of δC, δH, δO, Sr/Sr as well as Na, Mg, Ca contents of cherry are significant ( < 0.05), and are important geographical indicators. Various multivariate modeling methods, HCA, PLS-DA, and LDA, were employed with the overall accuracy exceeding 90%. This strategy provides an effective mean to verify the label authenticity of cherry origin in Chinese market.

摘要

甜樱桃故意产地误标会严重扰乱市场诚信和消费者信任。本研究采集了中国五个省份的153份樱桃样品以及相应的灌溉水和土壤样品。通过元素分析仪-同位素比值质谱仪(EA-IRMS)和电感耦合等离子体质谱仪(ICP-MS)测定了樱桃的5种稳定同位素比值(δC、δN、δH、δO、Sr/Sr)和8种多元素含量(Na、Mg、P、K、Ca、Fe、Zn、Se),以研究用于产地溯源的同位素分馏和元素富集机制。结果表明,樱桃的δH和δO与其灌溉水呈现出很强的相关性(r > 0.85),而δN、Sr/Sr、Fe、Zn和Se含量与其种植土壤有关(r > 0.75),δC与当地小气候有关。方差分析表明,樱桃的δC、δH、δO、Sr/Sr以及Na、Mg、Ca含量的区域差异显著(< 0.05),是重要的地理指标。采用了多种多元建模方法,即层次聚类分析(HCA)、偏最小二乘判别分析(PLS-DA)和线性判别分析(LDA),总体准确率超过90%。该策略为验证中国市场上樱桃产地标签的真实性提供了一种有效手段。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/370d/11637194/0b2367f85316/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/370d/11637194/32820e0d9955/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/370d/11637194/097fa99c318c/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/370d/11637194/1602d856e127/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/370d/11637194/0b2367f85316/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/370d/11637194/32820e0d9955/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/370d/11637194/097fa99c318c/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/370d/11637194/1602d856e127/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/370d/11637194/0b2367f85316/gr4.jpg

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