Yugen Li, Qiuyu Zhang, Xinxin Liu, Xinyu Bian, Jinchen Li, Nan Meng, Mengyao Liu, Mingquan Huang, Baoguo Sun, Jiming Li
{"title":"Flavor Interactions in Wine: Current Status and Future Directions From Interdisplinary and Crossmodal Perspectives","authors":"Yugen Li, Qiuyu Zhang, Xinxin Liu, Xinyu Bian, Jinchen Li, Nan Meng, Mengyao Liu, Mingquan Huang, Baoguo Sun, Jiming Li","doi":"10.1111/1541-4337.70199","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>Wine flavor complexity arises from interactions among over 1000 volatile compounds, with esters, thiols, and terpenes being key contributors. This review comprehensively examines the complex interactions among aroma compounds in wine, emphasizing their role in shaping wine flavor profiles. These interactions, occurring at the physicochemical, olfactory receptor, and neural levels, can either enhance or mask sensory perceptions, significantly influencing wine quality. Non-volatile compounds, such as polyphenols and polysaccharides, also play a critical role by modulating aroma volatility through interactions like π–π stacking and hydrophobic bonding. The review evaluates current methodologies, including sensory analysis and instrumental techniques, and emphasizes the need for advanced models to predict interaction outcomes. Notably, within a 2%–10% ethanol concentration range, “positive odor intensity” and “positive aroma persistence” increase with ethanol levels, illustrating the complex relationship between matrix components and sensory perception. Crossmodal interactions between aroma and taste further complicate flavor perception, with aromas like vanilla enhancing sweetness perception in white wines. However, research on red wines remains inconclusive, suggesting the need for further investigation. Future research should focus on real wine matrices, leveraging machine learning and interdisciplinary approaches to model complex interactions. Expanding studies to other alcoholic beverages and exploring the physiological mechanisms of crossmodal interactions could enhance flavor design and sensory optimization in the food industry, offering significant academic and practical value.</p>\n </div>","PeriodicalId":155,"journal":{"name":"Comprehensive Reviews in Food Science and Food Safety","volume":"24 3","pages":""},"PeriodicalIF":12.0000,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Comprehensive Reviews in Food Science and Food Safety","FirstCategoryId":"97","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/1541-4337.70199","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Wine flavor complexity arises from interactions among over 1000 volatile compounds, with esters, thiols, and terpenes being key contributors. This review comprehensively examines the complex interactions among aroma compounds in wine, emphasizing their role in shaping wine flavor profiles. These interactions, occurring at the physicochemical, olfactory receptor, and neural levels, can either enhance or mask sensory perceptions, significantly influencing wine quality. Non-volatile compounds, such as polyphenols and polysaccharides, also play a critical role by modulating aroma volatility through interactions like π–π stacking and hydrophobic bonding. The review evaluates current methodologies, including sensory analysis and instrumental techniques, and emphasizes the need for advanced models to predict interaction outcomes. Notably, within a 2%–10% ethanol concentration range, “positive odor intensity” and “positive aroma persistence” increase with ethanol levels, illustrating the complex relationship between matrix components and sensory perception. Crossmodal interactions between aroma and taste further complicate flavor perception, with aromas like vanilla enhancing sweetness perception in white wines. However, research on red wines remains inconclusive, suggesting the need for further investigation. Future research should focus on real wine matrices, leveraging machine learning and interdisciplinary approaches to model complex interactions. Expanding studies to other alcoholic beverages and exploring the physiological mechanisms of crossmodal interactions could enhance flavor design and sensory optimization in the food industry, offering significant academic and practical value.
期刊介绍:
Comprehensive Reviews in Food Science and Food Safety (CRFSFS) is an online peer-reviewed journal established in 2002. It aims to provide scientists with unique and comprehensive reviews covering various aspects of food science and technology.
CRFSFS publishes in-depth reviews addressing the chemical, microbiological, physical, sensory, and nutritional properties of foods, as well as food processing, engineering, analytical methods, and packaging. Manuscripts should contribute new insights and recommendations to the scientific knowledge on the topic. The journal prioritizes recent developments and encourages critical assessment of experimental design and interpretation of results.
Topics related to food safety, such as preventive controls, ingredient contaminants, storage, food authenticity, and adulteration, are considered. Reviews on food hazards must demonstrate validity and reliability in real food systems, not just in model systems. Additionally, reviews on nutritional properties should provide a realistic perspective on how foods influence health, considering processing and storage effects on bioactivity.
The journal also accepts reviews on consumer behavior, risk assessment, food regulations, and post-harvest physiology. Authors are encouraged to consult the Editor in Chief before submission to ensure topic suitability. Systematic reviews and meta-analyses on analytical and sensory methods, quality control, and food safety approaches are welcomed, with authors advised to follow IFIS Good review practice guidelines.