Strontium isotopes in food traceability: Mechanisms, applications, and integration with machine learning
文献类型：期刊论文
| 作者 | Qiao, Nan3; Zhang, Qian2; Han, Guilin1,3 |
| 刊名 | FOOD CHEMISTRY
 |
| 出版日期 | 2026-04-30 |
| 卷号 | 509页码:148594 |
| 关键词 | Strontium isotopes Food traceability Machine learning Geographical indication Provenance |
| ISSN号 | 0308-8146 |
| DOI | 10.1016/j.foodchem.2026.148594 |
| 产权排序 | 2 |
| 文献子类 | Review |
| 英文摘要 | Food provenance is crucial to ensuring authenticity, safety, and quality throughout the global supply chain. Strontium (Sr) isotopes have emerged as a robust tool due to their strong link with geological backgrounds and their stability during food processing. This review systematically summarizes advances in applying Sr isotope ratios to diverse food categories, such as primary crops, livestock, and processed products, and highlights the stability and discriminatory power of Sr isotopes across both raw and processed matrices. However, the complexity of multi-element datasets and overlapping isotopic ranges necessitates advanced computational approaches. We therefore emphasize the integration of Sr isotopes with machine learning (ML) algorithms, such as PCA, LDA, SVM, and HCA, which have significantly improved classification accuracy. Collectively, the synergistic use of Sr isotopes and ML offers a powerful framework for building reliable and data-driven food traceability systems, advancing both scientific understanding and practical applications in global food authentication. |
| URL标识 | 查看原文 |
| WOS关键词 | GEOGRAPHICAL ORIGIN ; STABLE-ISOTOPE ; MULTIELEMENT COMPOSITION ; PRECISE DETERMINATION ; SR-87/SR-86 RATIO ; ABUNDANCE RATIOS ; PROVENANCE ; WINE ; SIGNATURES ; SOIL |
| WOS研究方向 | Chemistry ; Food Science & Technology ; Nutrition & Dietetics |
| 语种 | 英语 |
| WOS记录号 | WOS:001706483800001 |
| 出版者 | ELSEVIER SCI LTD |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/221275]  |
| 专题 | 管理部门_平台基建处_理化分析中心 |
| 通讯作者 | Zhang, Qian |
| 作者单位 | 1.China Univ Geosci Beijing, Frontiers Sci Ctr Deep Time Digital Earth, Beijing 100083, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; 3.China Univ Geosci Beijing, Inst Earth Sci, State Key Lab Geomicrobiol & Environm Changes, Beijing 100083, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Qiao, Nan,Zhang, Qian,Han, Guilin. Strontium isotopes in food traceability: Mechanisms, applications, and integration with machine learning[J]. FOOD CHEMISTRY,2026,509:148594. |
| APA | Qiao, Nan,Zhang, Qian,&Han, Guilin.(2026).Strontium isotopes in food traceability: Mechanisms, applications, and integration with machine learning.FOOD CHEMISTRY,509,148594. |
| MLA | Qiao, Nan,et al."Strontium isotopes in food traceability: Mechanisms, applications, and integration with machine learning".FOOD CHEMISTRY 509(2026):148594. |
入库方式： OAI收割
来源：地理科学与资源研究所
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