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A comprehensive multi-omics analysis, integrating proteomics and metabolomics, was employed to elucidate tea-induced stewed beef quality change mechanisms

代谢组学 蛋白质组学 化学 食品科学 红茶 肌球蛋白 生物化学 色谱法 基因
作者
Shiquan Zhang,Duoduo Zhang,Majida Al-Wraikat,Yang Jiao,Yongfeng Liu
出处
期刊:Food Research International [Elsevier]
卷期号:: 114151-114151
标识
DOI:10.1016/j.foodres.2024.114151
摘要

To better understand the functional mechanism of four types of tea (green tea, black tea, jasmine tea, and dark tea) on the quality of stewed beef, changes in quality characteristics, proteomics, and metabolomics were investigated. Adding these four tea types decreased the pH value, L* value, shear force, and hardness of the stewed beef. Among these groups, black tea (BT) significantly improved the tenderness of the stewed beef. They have substantially impacted pathways related to protein oxidative phosphorylation, fatty acid degradation, amino acid degradation, and peroxisomes in stewed beef. The study identified that Myosin-2, Starch binding domain 1, Heat shock protein beta-6, and Myosin heavy chain four are significantly correlated with the quality characteristics of tea-treated stewed beef, making them potential biomarkers. Green tea (GT), black tea (BT), jasmine tea (JT), and dark tea (DT) led to the downregulation of 20, 36, 38, and 31 metabolites, respectively, which are lipids and lipid-like molecules in the stewed beef. The co-analysis of proteomics and metabolomics revealed that differential proteins significantly impacted metabolites associated with carbohydrates, amino acids, lipids, and other nutrients. This study determined the effects of four types of tea on the quality of stewed beef and their underlying mechanisms, providing valuable insights for applying of tea in meat products. At the same time, it can offer new ideas for developing fresh meat products.
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