云南民族大学学报（自然科学版）2026，Vol.35Issue(1)：40-51,12.DOI:10.3969/j.issn.1672-8513.2026.01.006
食源性鲜味肽筛选鉴定及生物活性研究进展
Research progress on screening and identification of food-borne umami peptides and their biological activities
摘要
Abstract
Umami peptides represent a novel class of umami substances that have been identified in recent years.These peptides not only exhibit favorable flavor characteristics but also demonstrate advantageous processing traits and biological activities,thus emerging as a focal point of research within the food science and food processing industries.Traditional methods for the separation and identification of umami peptides typically involve the extraction and purification of peptide components,which are often characterized by high costs and low efficiency.However,with the rapid advancements in computer technology,machine learning models that possess high predictive capabilities and accuracy have been implemented in the analysis and prediction of umami peptides.This approach effectively addresses the limitations associated with traditional methods used in the screening and preparation of these peptides.In this paper,we review the latest advancements in the preparation technologies,tasting mechanisms,processing characteristics,and biological activities of umami peptides derived from various food sources.Furthermore,we discuss the prospective applications of machine learning and computer simulation technologies in the high-throughput screening of umami peptides,the mechanisms underlying taste formation,and research into functional activities.Our objective is to provide a valuable reference for the development of preparation technologies,the mechanisms taste formation,and the biological activities of umami peptides.关键词
鲜味肽/虚拟筛选/计算机模拟/呈味机理/生物活性Key words
umami peptide/virtual screening/computer simulation/tasting mechanism/biological activity分类
轻工纺织引用本文复制引用
郑文涛,王玉珠,杨雪,柴云美,李珍珠,沐长青,黄艾祥..食源性鲜味肽筛选鉴定及生物活性研究进展[J].云南民族大学学报（自然科学版）,2026,35(1):40-51,12.基金项目
云南省徐宝才专家工作站(202305AF150132) （202305AF150132）
云南省科技厅科技计划(A3032023245) （A3032023245）
云南省教育厅科学研究基金(2024Y293). （2024Y293）
