Sr isotopes and REEs fingerprints coupled with machine learning for the traceability of cereal vinegars
文献类型：期刊论文
| 作者 | Zhang, Qian1,4; Li, Min1,4; Han, Guilin2,3 |
| 刊名 | FOOD RESEARCH INTERNATIONAL
 |
| 出版日期 | 2026-05-01 |
| 卷号 | 231页码:118777 |
| 关键词 | Sr isotopes Vinegar authenticity Geographical traceability Chemometric analysis Multi-element fingerprinting |
| ISSN号 | 0963-9969 |
| DOI | 10.1016/j.foodres.2026.118777 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | The geographical origin of vinegar is becoming increasingly important for food authenticity, yet effective traceability tools remain underdeveloped. This study evaluates the potential of strontium isotopes (87Sr/86Sr) and rare earth elements (REEs) as multi-element geochemical fingerprints to differentiate four representative Chinese cereal vinegars. The 87Sr/86Sr ratios of vinegar were determined as 0.71064 f 0.00054, 0.71156 f 0.00040, 0.71206 f 0.00065, and 0.70910 f 0.00014 for Shanxi, Sichuan, Jiangsu, and Fujian, respectively. These signatures largely reflected the bioavailable Sr from local geological backgrounds, with the exception of Fujian vinegar, which showed an isotopic shift associated with some non-local raw materials used in liquid-state brewing. REE contents exhibited strong internal coherence and significant correlations with both Sr content and 87Sr/86Sr ratios, indicating their shared provenance-related controls. Multivariate chemometric analyses demonstrated the high discriminatory capability of combined elemental and isotopic markers. Principal component analysis (PCA) provided a preliminary separation, whereas linear discriminant analysis (LDA) and random forest (RF) models achieved markedly higher classification accuracy, with LDA attaining 100% recognition accuracy and RF achieving 88.89% on the test set. This study confirms that the integrated application of 87Sr/86Sr, REEs, and machine learning models offers a reliable and highly discriminative strategy for verifying the geographical origin of vinegars. |
| URL标识 | 查看原文 |
| WOS关键词 | GEOGRAPHICAL ORIGIN ; WINE VINEGARS |
| WOS研究方向 | Food Science & Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001703701700001 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/221274]  |
| 专题 | 管理部门_平台基建处_理化分析中心 |
| 通讯作者 | Han, Guilin |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; 2.China Univ Geosci Beijing, Inst Earth Sci, Beijing 100083, Peoples R China 3.China Univ Geosci Beijing, State Key Lab Biogeol & Environm Geol, Beijing 100083, Peoples R China; 4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Zhang, Qian,Li, Min,Han, Guilin. Sr isotopes and REEs fingerprints coupled with machine learning for the traceability of cereal vinegars[J]. FOOD RESEARCH INTERNATIONAL,2026,231:118777. |
| APA | Zhang, Qian,Li, Min,&Han, Guilin.(2026).Sr isotopes and REEs fingerprints coupled with machine learning for the traceability of cereal vinegars.FOOD RESEARCH INTERNATIONAL,231,118777. |
| MLA | Zhang, Qian,et al."Sr isotopes and REEs fingerprints coupled with machine learning for the traceability of cereal vinegars".FOOD RESEARCH INTERNATIONAL 231(2026):118777. |
入库方式： OAI收割
来源：地理科学与资源研究所
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