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基于代谢组学的冷藏蔬菜新鲜度鉴定方法探索

Exploration of Freshness Identification Method for Refrigerated Vegetables Based on Metabolomics.

作者信息

Meng Zixuan, Zhang Haichao, Wang Jing, Ai Lianfeng, Kang Weijun

机构信息

School of Public Health, Hebei Medical University, Shijiazhuang 050017, China.

Shijiazhuang Customs Technology Center, Shijiazhuang 050051, China.

出版信息

Metabolites. 2024 Dec 1;14(12):665. doi: 10.3390/metabo14120665.

Abstract

: The rapid development of refrigerated transportation technology for fresh vegetables has extended their shelf life. Some vegetables may appear undamaged on the surface, but their freshness may have decreased, often resulting in the phenomenon of passing off inferior vegetables as good. It is very important to establish a detection method for identifying and assessing the freshness of vegetables. : Therefore, based on metabolomics methods, this study innovatively employed UHPLC-Q-Exactive Orbitrap MS and GC-MS techniques to investigate the metabolites in the refrigerated storage of four vegetables, namely chard ( var. cicla L), lettuce ( var. ramose Hort.), crown daisy ( (L.) Cass. ex Spach), and tomato ( L.), exploring key biomarkers for assessing their freshness. UPLC-TQ MS was used for the quantitative analysis of key metabolites. : The results showed that arginine biosynthesis and the metabolism of alanine, aspartate, and glutamate are key pathways in vegetable metabolism. Four key metabolites were selected from chard, five from lettuce, three from crown daisy, and five from tomato. : Comparing the content of substances such as alanine and arginine can help infer the freshness and nutritional value of the vegetables, providing important references for detecting spoilage, determining storage time, and improving transportation conditions. This research holds significant relevance for the vegetable transportation industry.

摘要

新鲜蔬菜冷藏运输技术的快速发展延长了它们的保质期。有些蔬菜表面可能看起来没有受损,但它们的新鲜度可能已经下降,常常导致以次充好的现象。建立一种用于识别和评估蔬菜新鲜度的检测方法非常重要。因此,本研究基于代谢组学方法,创新性地采用超高效液相色谱-四极杆-静电场轨道阱质谱仪(UHPLC-Q-Exactive Orbitrap MS)和气相色谱-质谱联用仪(GC-MS)技术,研究了四种蔬菜,即叶用甜菜(var. cicla L)、生菜(var. ramose Hort.)、茼蒿((L.) Cass. ex Spach)和番茄(L.)冷藏储存过程中的代谢产物,探索评估其新鲜度的关键生物标志物。超高效液相色谱-三重四极杆质谱仪(UPLC-TQ MS)用于关键代谢产物的定量分析。结果表明,精氨酸生物合成以及丙氨酸、天冬氨酸和谷氨酸的代谢是蔬菜代谢的关键途径。从叶用甜菜中筛选出4种关键代谢产物,从生菜中筛选出5种,从茼蒿中筛选出3种,从番茄中筛选出5种。比较丙氨酸和精氨酸等物质的含量有助于推断蔬菜的新鲜度和营养价值,为检测蔬菜变质、确定储存时间以及改善运输条件提供重要参考。本研究对蔬菜运输行业具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0fb/11676421/7be403bbd535/metabolites-14-00665-g001.jpg

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