Geographical origin identification, heavy metal contamination evaluation, and risk assessment of oysters from different regions based on multi-element fingerprinting

Yuan-sheng Guo , Tian-tian Zuo , Hong-yu Jin , Jing Liu , Xian-long Cheng , Feng Wei
{"title":"Geographical origin identification, heavy metal contamination evaluation, and risk assessment of oysters from different regions based on multi-element fingerprinting","authors":"Yuan-sheng Guo ,&nbsp;Tian-tian Zuo ,&nbsp;Hong-yu Jin ,&nbsp;Jing Liu ,&nbsp;Xian-long Cheng ,&nbsp;Feng Wei","doi":"10.1016/j.prmcm.2025.100700","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Oysters are one of the most important marine biological resources worldwide, with high nutritional and medicinal value. Enhancing the traceability of oyster products can provide crucial information to improve their quality and safety. <em><strong>Methods:</strong></em> This study focuses on oysters from three different production areas. Multi-element analysis was conducted to establish a multi-element fingerprint for oysters from various regions by ICP-MS. Combined with chemometric methods such as Hierarchical Cluster Analysis (HCA) and Principal Component Analysis (PCA), the study aims to trace the geographic origin of the oysters. Additionally, single-factor pollution index and the Nemerow Index were employed to assess the heavy metal contamination levels in oysters from different regions. Based on these findings, a risk assessment was conducted according to industry guidelines to evaluate the potential health risks to humans from consuming oysters from different production areas.</div></div><div><h3>Results</h3><div>Chemometric analysis revealed that oyster samples from different production areas clustered into distinct groups with significant difference. The elements Na, Rb, Sn, and Fe were identified as the primary factors responsible for these differences. Additionally, a comprehensive evaluation of heavy metal contamination in oysters from various regions was conducted using both the single-factor pollution index method and the Nemerow composite index method, providing insight into their contamination levels. Based on these results, a risk assessment strategy was applied to evaluate the edible safety of the oysters. The findings indicated that, except for some oyster samples from the northeastern region, which posed certain health risks, oysters from other areas were found to have acceptable health risk levels.</div></div><div><h3>Conclusion</h3><div>This approach effectively distinguishes the geographical origin of oysters and scientifically assess both heavy metal contamination and health risks, offering valuable strategies for the safety risk assessment of oysters and other traditional Chinese medicines.</div></div>","PeriodicalId":101013,"journal":{"name":"Pharmacological Research - Modern Chinese Medicine","volume":"17 ","pages":"Article 100700"},"PeriodicalIF":0.0000,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pharmacological Research - Modern Chinese Medicine","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2667142525001241","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/9/29 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Background

Oysters are one of the most important marine biological resources worldwide, with high nutritional and medicinal value. Enhancing the traceability of oyster products can provide crucial information to improve their quality and safety. Methods: This study focuses on oysters from three different production areas. Multi-element analysis was conducted to establish a multi-element fingerprint for oysters from various regions by ICP-MS. Combined with chemometric methods such as Hierarchical Cluster Analysis (HCA) and Principal Component Analysis (PCA), the study aims to trace the geographic origin of the oysters. Additionally, single-factor pollution index and the Nemerow Index were employed to assess the heavy metal contamination levels in oysters from different regions. Based on these findings, a risk assessment was conducted according to industry guidelines to evaluate the potential health risks to humans from consuming oysters from different production areas.

Results

Chemometric analysis revealed that oyster samples from different production areas clustered into distinct groups with significant difference. The elements Na, Rb, Sn, and Fe were identified as the primary factors responsible for these differences. Additionally, a comprehensive evaluation of heavy metal contamination in oysters from various regions was conducted using both the single-factor pollution index method and the Nemerow composite index method, providing insight into their contamination levels. Based on these results, a risk assessment strategy was applied to evaluate the edible safety of the oysters. The findings indicated that, except for some oyster samples from the northeastern region, which posed certain health risks, oysters from other areas were found to have acceptable health risk levels.

Conclusion

This approach effectively distinguishes the geographical origin of oysters and scientifically assess both heavy metal contamination and health risks, offering valuable strategies for the safety risk assessment of oysters and other traditional Chinese medicines.
基于多元素指纹图谱的不同地区牡蛎产地识别、重金属污染评价及风险评估
牡蛎是世界上最重要的海洋生物资源之一,具有很高的营养和药用价值。加强牡蛎产品的可追溯性可以为提高牡蛎产品的质量和安全提供重要信息。方法:本研究以三个不同产区的牡蛎为研究对象。采用ICP-MS建立了不同产地牡蛎的多元素指纹图谱。结合化学计量学方法,如层次聚类分析(HCA)和主成分分析(PCA),该研究旨在追踪牡蛎的地理起源。此外,采用单因素污染指数和Nemerow指数对不同地区牡蛎重金属污染水平进行了评价。根据这些发现,根据行业准则进行了风险评估,以评估食用来自不同生产区的牡蛎对人类的潜在健康风险。结果不同产地的牡蛎呈明显的聚类,聚类差异显著。元素Na, Rb, Sn和Fe被确定为造成这些差异的主要因素。此外,采用单因素污染指数法和Nemerow复合指数法对不同地区牡蛎的重金属污染进行了综合评价,了解了不同地区牡蛎的污染程度。在此基础上,采用风险评估策略对牡蛎的食用安全性进行了评价。调查结果表明,除了来自东北地区的一些牡蛎样本构成一定的健康风险外,其他地区的牡蛎被发现具有可接受的健康风险水平。结论该方法可有效区分生蚝产地,科学评价生蚝重金属污染和健康风险,为生蚝及其他中成药的安全风险评价提供有价值的策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
1.60
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书