可追溯性
化学计量学
计算机科学
复杂度
质量(理念)
优势和劣势
数据科学
生化工程
食品质量
认证(法律)
管理科学
风险分析(工程)
工程类
化学
机器学习
业务
食品科学
社会科学
哲学
软件工程
认识论
社会学
计算机安全
作者
Jorgelina Zaldarriaga Heredia,Marcelo Wagner,Florencia Cora Jofré,Marianela Savio,Silvana M. Azcarate,José M. Camiña
标识
DOI:10.1080/10408398.2022.2055527
摘要
Food products, especially those with high value-added, are commonly subjected to strict quality controls, which are of paramount importance, especially for attesting to some peculiar features related, for instance, to their geographical origin and/or the know-how of their producers. However, the sophistication of fraudulent practices requires a continuous update of analytical platforms. Different analytical techniques have become extremely appealing since the instrumental analysis tools evolution has substantially improved the capability to reveal and understand the complexity of food. In light of this, multi-elemental composition has been successful implemented solving a plethora of food authentication and traceability issues. In the last decades, it has existed an ever-increasing trend in analysis based on spectrometry analytical platforms in order to obtain a multi-elemental profile that combined with chemometrics have been noteworthy analytical methodologies able to solve these problems. This review provides an overview of published reports in the last decade (from 2011 to 2021) on food authentication and quality control from their multi-element composition in order to evaluate the state-of-the-art of this field and to identify the main characteristics of applied analytical techniques and chemometric data treatments that have permit achieve accurate discrimination/classification models, highlighting the strengths and the weaknesses of these methodologies.
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