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非靶向代谢组学方法在食品真实性研究中的应用:展示生物标志物的综述。

Untargeted metabolomic approaches in food authenticity: A review that showcases biomarkers.

机构信息

Univ. Nimes, UPR CHROME, Rue du Dr G. Salan, 30021 Nimes Cedex 1, France; Phytocontrol, 180 Rue Philippe Maupas, 30035 Nîmes Cedex 1, France.

Univ. Nimes, UPR CHROME, Rue du Dr G. Salan, 30021 Nimes Cedex 1, France.

出版信息

Food Chem. 2023 Jan 1;398:133856. doi: 10.1016/j.foodchem.2022.133856. Epub 2022 Aug 5.

Abstract

The assessment of food authenticity is a topic that gained a lot of interest at the international level. This term includes misidentification of variety, origin, production system, processing but also adulteration. These frauds all have an analytical component, and research tends to offer new analytical solutions to manage them. One of them is non-targeted approaches, which get around the limitations of targeted analysis by detecting the unexpected. A wide range of products are studied such as wine, rice, olive oil, spices, and honey among the top five. Geographic origin is by far the fraud with the most attention. The main reason is probably the complexity to consider terroir effect and every other variable to determine an area of production. This review offers an overview of the potential of non-targeted analysis to assess food authenticity. These results also illustrate the capability to look for environmental terroir markers that could be cross-matrixes.

摘要

食品真实性评估是一个在国际层面上引起广泛关注的话题。这一术语包括品种、来源、生产体系、加工的错误识别,以及掺假。这些欺诈行为都有分析成分,研究倾向于提供新的分析解决方案来管理它们。其中之一是非靶向方法,它通过检测意外情况来绕过靶向分析的局限性。研究范围广泛,包括葡萄酒、大米、橄榄油、香料和蜂蜜等前五大类产品。地理来源是迄今为止受到关注最多的欺诈行为。主要原因可能是考虑风土因素和其他变量来确定生产区域的复杂性。本文综述了非靶向分析评估食品真实性的潜力。这些结果还说明了寻找可以跨基质的环境风土标志物的能力。

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