通过同位素比质谱法和多元素分析相结合的方法溯源榛子产品

JSFA reports Pub Date : 2023-12-06 DOI:10.1002/jsf2.171
Giuseppe Sammarco, Mattia Rossi, Michele Suman, D. Cavanna, Laura Viotto, Piero Pettenà, Chiara Dall'Asta, Paola Iacumin
{"title":"通过同位素比质谱法和多元素分析相结合的方法溯源榛子产品","authors":"Giuseppe Sammarco, Mattia Rossi, Michele Suman, D. Cavanna, Laura Viotto, Piero Pettenà, Chiara Dall'Asta, Paola Iacumin","doi":"10.1002/jsf2.171","DOIUrl":null,"url":null,"abstract":"Raw and processed hazelnut commodities are often the subject of fraudulent geographical declarations. Italian products are the main target of these illegal activities as their quality is high and certified, and the prices are bigger. Isotope ratio mass spectrometry (IRMS) could play a key role in origin discrimination. The present study aims to assess the provenience of Italian hazelnuts, by analysing relative isotopic ratios of carbon and oxygen.Method development is performed by evaluating samples' repeatability, reproducibility, and robustness. The results are reproducible and robust, having acceptable standard deviations. One‐way ANOVA demonstrates the significant statistical difference between Italian and non‐Italian samples. Furthermore, a data fusion approach, with inductively coupled plasma–optical emission spectroscopy (ICP‐OES) and inductively coupled plasma‐mass spectrometry (ICP‐MS), permitted to build multivariate statistical models to confirm the differences of geographical provenience. A design of experiment (DoE) is created to sample correctly, considering factors such as variety, processing, and peel percentage.N=96 hazelnut lots, from Italy, Turkey, Georgia, and Azerbaijan, are analysed for the geographical assessment: this strategy demonstrates promising potentialities, as food isotopic abundances reflect ground and climate‐related features, typical of precise locations.This article is protected by copyright. All rights reserved.","PeriodicalId":93795,"journal":{"name":"JSFA reports","volume":"65 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Hazelnut products traceability through combined Isotope Ratio Mass Spectrometry and Multi‐elemental Analysis\",\"authors\":\"Giuseppe Sammarco, Mattia Rossi, Michele Suman, D. Cavanna, Laura Viotto, Piero Pettenà, Chiara Dall'Asta, Paola Iacumin\",\"doi\":\"10.1002/jsf2.171\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Raw and processed hazelnut commodities are often the subject of fraudulent geographical declarations. Italian products are the main target of these illegal activities as their quality is high and certified, and the prices are bigger. Isotope ratio mass spectrometry (IRMS) could play a key role in origin discrimination. The present study aims to assess the provenience of Italian hazelnuts, by analysing relative isotopic ratios of carbon and oxygen.Method development is performed by evaluating samples' repeatability, reproducibility, and robustness. The results are reproducible and robust, having acceptable standard deviations. One‐way ANOVA demonstrates the significant statistical difference between Italian and non‐Italian samples. Furthermore, a data fusion approach, with inductively coupled plasma–optical emission spectroscopy (ICP‐OES) and inductively coupled plasma‐mass spectrometry (ICP‐MS), permitted to build multivariate statistical models to confirm the differences of geographical provenience. A design of experiment (DoE) is created to sample correctly, considering factors such as variety, processing, and peel percentage.N=96 hazelnut lots, from Italy, Turkey, Georgia, and Azerbaijan, are analysed for the geographical assessment: this strategy demonstrates promising potentialities, as food isotopic abundances reflect ground and climate‐related features, typical of precise locations.This article is protected by copyright. All rights reserved.\",\"PeriodicalId\":93795,\"journal\":{\"name\":\"JSFA reports\",\"volume\":\"65 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-12-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"JSFA reports\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1002/jsf2.171\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"JSFA reports","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/jsf2.171","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

生的和加工过的榛子商品经常是欺骗性地理申报的对象。意大利的产品质量高,有认证,价格也高,是这些非法活动的主要目标。同位素比质谱法(IRMS)可以在产地鉴别中发挥关键作用。本研究旨在通过分析碳和氧的相对同位素比率来评估意大利榛子的来源。方法开发是通过评估样品的可重复性、再现性和稳健性来进行的。结果重现性强,具有可接受的标准偏差。单因素方差分析显示了意大利和非意大利样本之间的显著统计差异。此外,利用电感耦合等离子体光学发射光谱(ICP‐OES)和电感耦合等离子体质谱(ICP‐MS)的数据融合方法,可以建立多元统计模型来确认地理产地的差异。在考虑品种、加工和果皮率等因素的情况下,建立了正确取样的实验设计(DoE)。对来自意大利、土耳其、格鲁吉亚和阿塞拜疆的N=96个榛子地块进行了地理评估分析:这一策略显示了良好的潜力,因为食物同位素丰度反映了地面和气候相关的特征,具有精确位置的典型特征。这篇文章受版权保护。版权所有。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Hazelnut products traceability through combined Isotope Ratio Mass Spectrometry and Multi‐elemental Analysis
Raw and processed hazelnut commodities are often the subject of fraudulent geographical declarations. Italian products are the main target of these illegal activities as their quality is high and certified, and the prices are bigger. Isotope ratio mass spectrometry (IRMS) could play a key role in origin discrimination. The present study aims to assess the provenience of Italian hazelnuts, by analysing relative isotopic ratios of carbon and oxygen.Method development is performed by evaluating samples' repeatability, reproducibility, and robustness. The results are reproducible and robust, having acceptable standard deviations. One‐way ANOVA demonstrates the significant statistical difference between Italian and non‐Italian samples. Furthermore, a data fusion approach, with inductively coupled plasma–optical emission spectroscopy (ICP‐OES) and inductively coupled plasma‐mass spectrometry (ICP‐MS), permitted to build multivariate statistical models to confirm the differences of geographical provenience. A design of experiment (DoE) is created to sample correctly, considering factors such as variety, processing, and peel percentage.N=96 hazelnut lots, from Italy, Turkey, Georgia, and Azerbaijan, are analysed for the geographical assessment: this strategy demonstrates promising potentialities, as food isotopic abundances reflect ground and climate‐related features, typical of precise locations.This article is protected by copyright. All rights reserved.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Issue Information Changes in the freshness of freshwater Japanese icefish (Salangichthys microdon) during chilled and super-chilled storage Effect of drying methods and variety on the chemical composition, functional, and microbial properties of date flour Issue Information Issue Information
×
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:481959085
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