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基于代谢组学的植物性食品溯源、品种鉴定和加工:可行性及未来展望。

Metabolomics applications for plant-based foods origin tracing, cultivars identification and processing: Feasibility and future aspects.

机构信息

State Key Laboratory of Food Science and Resource, Nanchang University, Nanchang 30047, China.

State Key Laboratory of Food Science and Resource, Nanchang University, Nanchang 30047, China.

出版信息

Food Chem. 2024 Aug 15;449:139227. doi: 10.1016/j.foodchem.2024.139227. Epub 2024 Apr 4.

DOI:10.1016/j.foodchem.2024.139227
PMID:38599108
Abstract

Metabolomics, the systematic study of metabolites, is dedicated to a comprehensive analysis of all aspects of plant-based food research and plays a pivotal role in the nutritional composition and quality control of plant-based foods. The diverse chemical compositions of plant-based foods lead to variations in sensory characteristics and nutritional value. This review explores the application of the metabolomics method to plant-based food origin tracing, cultivar identification, and processing methods. It also addresses the challenges encountered and outlines future directions. Typically, when combined with other omics or techniques, synergistic and complementary information is uncovered, enhancing the classification and prediction capabilities of models. Future research should aim to evaluate all factors affecting food quality comprehensively, and this necessitates advanced research into influence mechanisms, metabolic pathways, and gene expression.

摘要

代谢组学,即对代谢物进行系统研究,致力于全面分析植物性食品研究的各个方面,在植物性食品的营养成分和质量控制方面发挥着关键作用。植物性食品的化学成分多样,导致其感官特征和营养价值存在差异。本综述探讨了代谢组学方法在植物性食品溯源、品种鉴定和加工方法中的应用。还讨论了所遇到的挑战,并概述了未来的方向。通常情况下,当与其他组学或技术结合使用时,可以发现协同互补的信息,从而增强模型的分类和预测能力。未来的研究应旨在全面评估影响食品质量的所有因素,这需要深入研究影响机制、代谢途径和基因表达。

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