Multivariate discrimination of Chinese vinegars using multi-element: Implications for origin traceability and dietary safety
文献类型：期刊论文
| 作者 | Li, Min1,2; Zhang, Qian1,2; Han, Guilin3,4; Liang, Tao1,2; Liu, Jinrong1; Wang, Daobing5,6; Zhong, Qiding5,6 |
| 刊名 | JOURNAL OF FOOD COMPOSITION AND ANALYSIS
 |
| 出版日期 | 2025-09-01 |
| 卷号 | 145页码:107807 |
| 关键词 | Geographical origin Elements Vinegar PLS-DA LDA |
| ISSN号 | 0889-1575 |
| DOI | 10.1016/j.jfca.2025.107807 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | The authenticity of geographical indications of famous vinegars is crucial for maintaining market order and consumer confidence. In this study, 60 vinegar samples were collected from four renowned Chinese vinegar, including Shanxi aged vinegar, Baoning vinegar, Zhenjiang fragrant vinegar, and Fujian Monascus vinegar, and were analyzed for 18 multi-mineral elements. Significant variations in elemental composition were observed, with Fujian Monascus vinegar exhibiting the lowest elemental content. Fermentation methods (liquid-state vs. solid-state) significantly influenced mineral composition, with liquid-state fermentation resulting in lower mineral levels. Principal component analysis (PCA) revealed strong positive correlations among specific elements (e.g., B, K, Ca, Mg, Al, Mn, Se, Cd, Ba, Mo, Co, and Ni), suggesting their primary origin from raw grain ingredients. Both linear discriminant analysis (LDA) and partial least squares-discriminant analysis (PLS-DA) identified key classification markers, including Cd, B, Na, Pb, V, As, and Mo. LDA demonstrated superior machine learning performance, achieving classification accuracies of 96.7 % for the training set and 90 % for the validation set. A health risk assessment confirmed that daily vinegar consumption does not pose a heavy metalrelated health risk. This study establishes an effective methodology for vinegar authentication and confirms its safety, providing valuable insights for quality control and traceability. |
| URL标识 | 查看原文 |
| WOS关键词 | CLASSIFICATION ; METALS |
| WOS研究方向 | Chemistry ; Food Science & Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001500916300001 |
| 出版者 | ACADEMIC PRESS INC ELSEVIER SCIENCE |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/214590]  |
| 专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
| 通讯作者 | Zhang, Qian |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China; 3.China Univ Geosci Beijing, State Key Lab Geomicrobiol & Environm Changes, Beijing 100083, Peoples R China; 4.China Univ Geosci Beijing, Inst Earth Sci, Beijing 100083, Peoples R China; 5.State Adm Market Regulat, Technol Innovat Ctr Light Ind Consumpt Goods Qual, Beijing 100015, Peoples R China; 6.Sinolight Inspect & Certificat Taiyuan Co Ltd, Taiyuan 030400, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Min,Zhang, Qian,Han, Guilin,et al. Multivariate discrimination of Chinese vinegars using multi-element: Implications for origin traceability and dietary safety[J]. JOURNAL OF FOOD COMPOSITION AND ANALYSIS,2025,145:107807. |
| APA | Li, Min.,Zhang, Qian.,Han, Guilin.,Liang, Tao.,Liu, Jinrong.,...&Zhong, Qiding.(2025).Multivariate discrimination of Chinese vinegars using multi-element: Implications for origin traceability and dietary safety.JOURNAL OF FOOD COMPOSITION AND ANALYSIS,145,107807. |
| MLA | Li, Min,et al."Multivariate discrimination of Chinese vinegars using multi-element: Implications for origin traceability and dietary safety".JOURNAL OF FOOD COMPOSITION AND ANALYSIS 145(2025):107807. |
入库方式： OAI收割
来源：地理科学与资源研究所
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