Beijing Key Laboratory of Flavor Chemistry, Beijing Technology and Business University (BTBU), Beijing, China.
College of Food Science and Technology, Nanjing Agricultural University, Nanjing, Jiangsu, China.
Crit Rev Food Sci Nutr. 2024;64(11):3441-3457. doi: 10.1080/10408398.2022.2132209. Epub 2022 Oct 11.
The dynamic and complex peculiarities of the oral environment present several challenges for controlling the aroma release during food consumption. They also pose higher requirements for designing food with better sensory quality. This requires a comprehensive understanding of the basic rules of aroma transmission and aroma perception during food oral processing and its behind mechanism. This review summarized the latest developments in aroma release from food to retronasal cavity, aroma release and delivery influencing factors, aroma perception mechanisms. The individual variance is the most important factor affecting aroma release and perception. Therefore, the intelligent chewing simulator is the key to establish a standard analytical method. The key odorants perceived from the retronasal cavity should be given more attention during food oral processing. Identification of the olfactory receptor activated by specific odorants and its binding mechanisms are still the bottleneck. Electrophysiology and image technology are the new noninvasive technologies in elucidating the brain signals among multisensory, which can fill the gap between aroma perception and other senses. Moreover, it is necessary to develop a new approach to integrate the relationship among aroma binding parameters, aroma concentration, aroma attributes and cross-modal reactions to make the aroma prediction model more accurate.
口腔环境的动态和复杂特性给控制食物消费过程中的香气释放带来了一些挑战。这也对设计具有更好感官质量的食品提出了更高的要求。这需要全面了解食品口腔加工过程中香气传递和感知的基本规律及其背后的机制。本综述总结了从食品到鼻后腔的香气释放、香气释放和传递影响因素、香气感知机制的最新进展。个体差异是影响香气释放和感知的最重要因素。因此,智能咀嚼模拟器是建立标准分析方法的关键。在食品口腔加工过程中,应该更加关注从鼻后腔感知到的关键气味物质。识别特定气味物质激活的嗅觉受体及其结合机制仍然是一个瓶颈。电生理学和成像技术是阐明多感官之间大脑信号的新无创技术,可填补香气感知与其他感官之间的空白。此外,有必要开发一种新方法来整合香气结合参数、香气浓度、香气属性和跨模态反应之间的关系,以使香气预测模型更加准确。