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基于质谱的非靶向和靶向分析方法在食品和农业研究中的指纹图谱和代谢组学分析。

Mass Spectrometry-Based Nontargeted and Targeted Analytical Approaches in Fingerprinting and Metabolomics of Food and Agricultural Research.

机构信息

United States Department of Agriculture, Methods and Application of Food Composition Laboratory, Beltsville Human Nutrition Research Center, Agricultural Research Service, Beltsville, Maryland 20705, United States.

Department of Nutrition and Food Science, University of Maryland, College Park, Maryland 20742, United States.

出版信息

J Agric Food Chem. 2022 Sep 14;70(36):11138-11153. doi: 10.1021/acs.jafc.2c01878. Epub 2022 Aug 23.

Abstract

Mass spectrometry (MS)-based techniques have been extensively applied in food and agricultural research. This review aims to address the advances and applications of MS-based analytical strategies in nontargeted and targeted analysis and summarizes the recent publications of MS-based techniques, including flow injection MS fingerprinting, chromatography-tandem MS metabolomics, direct analysis using ambient mass spectrometry, as well as development in MS data deconvolution software packages and databases for metabolomic studies. Various nontargeted and targeted approaches are employed in marker compounds identification, material adulteration detection, and the analysis of specific classes of secondary metabolites. In the newly emerged applications, the recent advances in computer tools for the fast deconvolution of MS data in targeted secondary metabolite analysis are highlighted.

摘要

基于质谱(MS)的技术已广泛应用于食品和农业研究。本综述旨在介绍基于 MS 的分析策略在非靶向和靶向分析中的进展和应用,并总结了基于 MS 的技术的最新出版物,包括流动注射 MS 指纹图谱、色谱-串联 MS 代谢组学、使用环境质谱的直接分析,以及代谢组学研究中 MS 数据解卷积软件包和数据库的发展。各种非靶向和靶向方法用于鉴定标记化合物、检测物质掺假以及分析特定类别的次生代谢物。在新出现的应用中,突出了用于快速解卷积靶向次生代谢物分析中 MS 数据的计算机工具的最新进展。

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