Ground-breaking comparison of target stable isotope ratios vs. emerging sesquiterpene fingerprinting for authenticating virgin olive oil origin

IF 9.8 1区 农林科学 Q1 CHEMISTRY, APPLIED Food Chemistry Pub Date : 2025-03-01 DOI:10.1016/j.foodchem.2025.143655
Berta Torres-Cobos, Luana Bontempo, Alberto Roncone, Beatriz Quintanilla-Casas, Maurizio Servili, Francesc Guardiola, Stefania Vichi, Alba Tres
{"title":"Ground-breaking comparison of target stable isotope ratios vs. emerging sesquiterpene fingerprinting for authenticating virgin olive oil origin","authors":"Berta Torres-Cobos, Luana Bontempo, Alberto Roncone, Beatriz Quintanilla-Casas, Maurizio Servili, Francesc Guardiola, Stefania Vichi, Alba Tres","doi":"10.1016/j.foodchem.2025.143655","DOIUrl":null,"url":null,"abstract":"This study presents a pioneering comparison of target stable isotope ratios analysis and sesquiterpene (SH) fingerprinting for authenticating virgin olive oil (VOO) geographical origin. Both methods were selected for being among the most promising targeted and untargeted approaches, respectively. These methods were applied to the same sample set of nearly 400 VOO samples, covering diverse harvest years, cultivars and producers. PLS-DA classification models were developed to differentiate between Italian and non-Italian VOOs, as well as VOOs from three closely located Italian regions. Isotopic models based on bulk δ<sup>13</sup>C, δ<sup>18</sup>O and δ<sup>2</sup>H achieved over 75 % classification accuracy in distinguishing Italian from non-Italian VOOs, while SH fingerprinting outperformed with over 90 % accuracy and greater sensitivity to regional differences, as assessed in external validation. This systematic comparison provides insights into the strengths and weaknesses of each method, and the results will guide future research to enhance their reliability in VOO geographical authentication.","PeriodicalId":318,"journal":{"name":"Food Chemistry","volume":"28 1","pages":""},"PeriodicalIF":9.8000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Food Chemistry","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1016/j.foodchem.2025.143655","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, APPLIED","Score":null,"Total":0}
引用次数: 0

Abstract

This study presents a pioneering comparison of target stable isotope ratios analysis and sesquiterpene (SH) fingerprinting for authenticating virgin olive oil (VOO) geographical origin. Both methods were selected for being among the most promising targeted and untargeted approaches, respectively. These methods were applied to the same sample set of nearly 400 VOO samples, covering diverse harvest years, cultivars and producers. PLS-DA classification models were developed to differentiate between Italian and non-Italian VOOs, as well as VOOs from three closely located Italian regions. Isotopic models based on bulk δ13C, δ18O and δ2H achieved over 75 % classification accuracy in distinguishing Italian from non-Italian VOOs, while SH fingerprinting outperformed with over 90 % accuracy and greater sensitivity to regional differences, as assessed in external validation. This systematic comparison provides insights into the strengths and weaknesses of each method, and the results will guide future research to enhance their reliability in VOO geographical authentication.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
用于鉴定初榨橄榄油原产地的目标稳定同位素比值与新出现的倍半萜指纹图谱的突破性比较
本研究提出了目标稳定同位素比分析和倍半萜(SH)指纹鉴别初榨橄榄油(VOO)地理来源的开创性比较。这两种方法分别被选为最有希望的目标和非目标方法。这些方法应用于近400个VOO样品的同一样本集,涵盖了不同的收获年份、品种和生产者。开发了PLS-DA分类模型来区分意大利和非意大利的VOOs,以及来自三个紧密相连的意大利地区的VOOs。根据外部验证评估,基于体积δ13C、δ18O和δ2H的同位素模型在区分意大利和非意大利voo方面的分类准确率超过75% %,而SH指纹识别的准确率超过90% %,对区域差异的敏感性更高。通过系统比较,可以深入了解每种方法的优缺点,其结果将指导未来的研究,以提高其在VOO地理认证中的可靠性。
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 去求助
来源期刊
Food Chemistry
Food Chemistry 工程技术-食品科技
CiteScore
16.30
自引率
10.20%
发文量
3130
审稿时长
122 days
期刊介绍: Food Chemistry publishes original research papers dealing with the advancement of the chemistry and biochemistry of foods or the analytical methods/ approach used. All papers should focus on the novelty of the research carried out.
期刊最新文献
SSI allelic variation influences grain quality and starch structure in rice subjected to high growth temperatures Multimodal large language models for food safety detection within deep learning frameworks: a review Microwave-assisted subcritical water extraction of antioxidant phenolic compounds from pistachio (Pistacia vera L.) industry waste: Optimization, modeling, and comparison Extraction, characterization, and multi-factor stability assessment of mulberry (Morus nigra) anthocyanins for application as natural food colorants Development and methodological user-validation in industry of a 3D-printed biosensing toolkit for tropane alkaloid detection
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1