Protein‐Flavor Interactions in Plant Protein Food Matrix: Molecular Binding Mechanisms, Influencing Factors, and Modulation Strategies

风味 计算生物学 化学 生化工程 蛋白质-蛋白质相互作用 分类 生物化学 植物生长 合理设计 对接(动物) 计算机科学 蛋白质工程 食品 生物 生物技术 植物蛋白 生物物理学 蛋白质结构 食品加工 计算模型 结构生物学 靶蛋白 分子模型 食品科学 对偶(语法数字) 感觉系统
作者
Xinran Dai,Jiaping Zhang,Zhaoshi Chen,Muhammad Awais,Bei Fan,Marie‐Laure Fauconnier,Liya Liu,Fengzhong Wang
出处
期刊:Comprehensive Reviews in Food Science and Food Safety [Wiley]
卷期号:25 (1): e70318-e70318 被引量:5
标识
DOI:10.1111/1541-4337.70318
摘要

As plant-based diets gain momentum for health, environmental, and ethical reasons, the demand for plant-based protein foods is accelerating. However, a critical barrier to consumer acceptance lies in their flavor profiles, which are often perceived as off-putting due to complex interactions between plant proteins and flavor compounds. While individual interactions have been explored, an integrated understanding of their mechanisms and modulation remains limited. This review synthesizes current knowledge on plant protein-flavor interactions across molecular, physicochemical, and sensory levels. We examine the structural and functional diversity of plant proteins (legumes, cereals, nuts, seeds, and novel sources), categorize their interaction modes (non-covalent and covalent), and assess the impact of intrinsic (e.g. protein conformation, hydrophobicity) and extrinsic factors (e.g. pH, ionic strength, processing). Analytical models such as Scatchard and Hill equations, alongside QSAR and molecular docking approaches, are discussed. We further explore emerging strategies-physical, chemical, biological, and hybrid-for targeted flavor modulation. It is noted that plant protein-flavor interactions play a dual role: enabling flavor retention and protection, but also triggering off-flavors through irreversible binding or volatile entrapment. These interactions vary across protein types, flavors properties and processing conditions, requiring tailored strategies for optimization. For instance, enzymatic hydrolysis, micro-encapsulation, and data-driven protein engineering (leveraging computational tools to design proteins) offer promising solutions. Future progress hinges on combining sensory physiology with computational modeling and structural bioengineering to develop plant-based foods with improved flavor authenticity, stability, and consumer appeal.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
Rosemarry完成签到,获得积分10
刚刚
初遇之时最暖应助wwk采纳,获得10
2秒前
练习者发布了新的文献求助30
3秒前
老实的觅山完成签到,获得积分10
3秒前
tjnusq发布了新的文献求助10
3秒前
4秒前
4秒前
默念完成签到,获得积分10
4秒前
bylee发布了新的文献求助10
4秒前
Saya完成签到 ,获得积分10
4秒前
陈平安发布了新的文献求助10
5秒前
6秒前
微笑的问薇完成签到,获得积分10
8秒前
xyz举报coolru求助涉嫌违规
8秒前
李爱国应助远星依然采纳,获得10
9秒前
AtoPos完成签到 ,获得积分10
10秒前
鹿邑完成签到 ,获得积分10
10秒前
曾祥龙完成签到,获得积分10
10秒前
12秒前
12秒前
13秒前
15秒前
汉堡包应助LBB采纳,获得10
16秒前
d叨叨鱼发布了新的文献求助10
16秒前
爱恋成伤完成签到,获得积分10
16秒前
S39186788完成签到,获得积分10
17秒前
fantastic完成签到,获得积分10
17秒前
tjnusq完成签到,获得积分10
18秒前
Eleven11完成签到,获得积分10
19秒前
秋天的雪发布了新的文献求助10
19秒前
柒年啵啵完成签到 ,获得积分10
20秒前
Wang完成签到,获得积分20
20秒前
xyz举报coolru求助涉嫌违规
20秒前
爆米花应助杨宜璠采纳,获得10
21秒前
ctq完成签到,获得积分10
23秒前
25秒前
Lucas应助立麦采纳,获得10
26秒前
上官若男应助cuncaoxin采纳,获得10
26秒前
菜菜完成签到 ,获得积分10
27秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Molecular Mechanisms of Photosynthesis, 4th Edition 1000
Organic Reactions, Volume 116 1000
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7254398
求助须知:如何正确求助?哪些是违规求助? 8876388
关于积分的说明 18742205
捐赠科研通 6934917
什么是DOI,文献DOI怎么找? 3200122
关于科研通互助平台的介绍 2374783
邀请新用户注册赠送积分活动 2175079