啤酒新型鲜味肽成味机理的探究:HPLC-Q-TOF-MS结合风味感知、分子对接和分子动力学模拟

IF 4.6 2区 农林科学 Q2 CHEMISTRY, APPLIED Journal of Food Composition and Analysis Pub Date : 2025-05-01 Epub Date: 2025-02-07 DOI:10.1016/j.jfca.2025.107338
He Huang , Yiyuan Chen , Jiaxin Hong , Xin Yuan , Wenjing Tian , Dongrui Zhao , Baoguo Sun , Jinyuan Sun , Jihong Wu , Mingquan Huang , Xiaotao Sun
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引用次数: 0

摘要

本研究旨在从啤酒中鉴定新的鲜味肽,并阐明鲜味感知的机制。HPLC-Q-TOF-MS鉴定了啤酒中的多肽。随后,通过鲜味活性预测和分子对接,共鉴定出9个新的鲜味肽,分别为DVVF、EAAGL、TEALA、HDVDFH、LGLDGF、LPEGAF、VDAMVH、TEYSPGP和LVLPGELAK。风味感知分析表明,9种多肽均表现出鲜味感知,鲜味识别阈值在0.179 ~ 0.449 mmol/L之间,其中LVLPGELAK的阈值最低,鲜味表达最强。通过分子对接和分子动力学模拟,证实了9种多肽均能与鲜味受体T1R1/T1R3形成稳定的配合物,同时也验证了DVVF、HDVDFH、LPEGAF、TEYSPGP和LVLPGELAK具有较强的鲜味感知强度。这些发现为研究啤酒鲜味的表达提供了新的思路,并为理解鲜味机制提供了深刻的理论指导。
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Exploration of the flavor mechanism of novel umami peptides from lager beer: HPLC-Q-TOF-MS combined with flavor perception, molecular docking and molecular dynamics simulation
This study aimed to identify novel umami peptides in lager beer and elucidated the mechanisms of umami perception. HPLC-Q-TOF-MS identified the peptides in lager beer. Subsequently, a total of 9 novel umami peptides were identified through umami activity prediction and molecular docking, namely DVVF, EAAGL, TEALA, HDVDFH, LGLDGF, LPEGAF, VDAMVH, TEYSPGP, and LVLPGELAK. Flavor perception analysis indicated that all 9 peptides exhibited umami perception, with umami recognition thresholds ranging from 0.179 to 0.449 mmol/L, where LVLPGELAK had the lowest threshold and the strongest expression of umami. Moreover, molecular docking and molecular dynamics simulations confirmed that all 9 peptides could form stable complexes with umami receptor T1R1/T1R3, while also verifying the relatively stronger umami perception intensity of DVVF, HDVDFH, LPEGAF, TEYSPGP, and LVLPGELAK. These findings provided new insights into the expression of umami flavor in lager beer and offered profound theoretical guidance for understanding umami mechanisms.
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来源期刊
Journal of Food Composition and Analysis
Journal of Food Composition and Analysis 工程技术-食品科技
CiteScore
6.20
自引率
11.60%
发文量
601
审稿时长
53 days
期刊介绍: The Journal of Food Composition and Analysis publishes manuscripts on scientific aspects of data on the chemical composition of human foods, with particular emphasis on actual data on composition of foods; analytical methods; studies on the manipulation, storage, distribution and use of food composition data; and studies on the statistics, use and distribution of such data and data systems. The Journal''s basis is nutrient composition, with increasing emphasis on bioactive non-nutrient and anti-nutrient components. Papers must provide sufficient description of the food samples, analytical methods, quality control procedures and statistical treatments of the data to permit the end users of the food composition data to evaluate the appropriateness of such data in their projects. The Journal does not publish papers on: microbiological compounds; sensory quality; aromatics/volatiles in food and wine; essential oils; organoleptic characteristics of food; physical properties; or clinical papers and pharmacology-related papers.
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