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}
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.