食品科学 ›› 2026, Vol. 47 ›› Issue (2): 334-346.doi: 10.7506/spkx1002-6630-20250715-122

• 专题论述 • 上一篇    下一篇

谷物加工中风味解析技术及其释放机理的研究进展

陈嫣,马春敏,孙秀宇,杨杨,徐悦,张光,许馨予,王冰,张娜   

  1. (哈尔滨商业大学食品工程学院,黑龙江 哈尔滨 150028)
  • 出版日期:2026-01-25 发布日期:2026-02-05
  • 基金资助:
    “十四五”国家重点研发计划重点专项(2023YFD2100803);国家自然科学基金面上项目(32372387); 国家自然科学基金青年科学基金项目(32402015);黑龙江省杰出青年基金项目(JQ2024C003); 黑龙江省自然科学基金项目(PL2024C011); 黑龙江省“双一流”学科协同创新成果项目(LJGXCG202080;LJGXCG202083); 黑龙江省重点研发计划揭榜挂帅项目(2023ZXJ08B03); 黑龙江省优秀青年教师基础研究支持计划项目(YQJH2023243); 黑龙江省省属本科高校基本科研业务费项目(2024-KYYWF-1013)

Research Progress on Flavor Analysis Technologies and Release Mechanisms in Cereal Processing

CHEN Yan, MA Chunmin, SUN Xiuyu, YANG Yang, XU Yue, ZHANG Guang, XU Xinyu, WANG Bing, ZHANG Na   

  1. (College of Food Engineering, Harbin University of Commerce, Harbin 150028, China)
  • Online:2026-01-25 Published:2026-02-05

摘要: 谷物风味的定向调节是食品加工领域的核心问题,是影响食品品质的关键因素之一,谷物特征风味物质的形成和释放受到加工条件的影响。本文系统地综述了碾磨、发酵、烘焙等六大传统加工技术对谷物特征风味物质(挥发性及非挥发性)的生成机制与释放规律,解释了蛋白质-淀粉-脂质前体通过美拉德反应、氧化降解等路径的交互作用机制。重点阐述了气相色谱-质谱、液相色谱-质谱、电子鼻/电子舌、分子感官组学及人工智能在风味解析中的最新应用进展,为探究加工条件与风味物质变化的内在关联提供了分析工具,同时构建“加工-前体-风味”系统研究框架,利用风味解析技术引入人工智能实现风味的预测与调控,有利于不同加工条件定向调控风味成分的生成、转化与释放。未来需要聚焦低能耗加工技术与风味精准模型的融合,为“风味-营养-健康”协同优势的谷物产品开发提供理论基础。

关键词: 谷物;加工方式;风味前体物质;产生机制;检测技术

Abstract: The directional regulation of cereal flavor is a core issue in the field of food processing and one of the key factors affecting food quality. The formation and release of the characteristic flavor substances of cereals are influenced by processing conditions. This paper systematically reviews the generation mechanisms and release patterns of the characteristic flavor compounds (volatile and non-volatile compounds) of cereals subjected to six traditional processing technologies, including milling, fermentation, and baking. It also explains the interaction mechanisms of protein, starch and lipid precursors through pathways such as the Maillard reaction and oxidative degradation. Special emphasis is placed on the latest progress in the application of gas chromatography-mass spectrometry (GC-MS), liquid chromatography-mass spectrometry (LC-MS), electronic nose/electronic tongue, molecular sensory omics, and artificial intelligence in flavor analysis. These techniques provide analytical tools for exploring the intrinsic relationship between processing conditions and changes in flavor substances. Meanwhile, construction of a systematic research framework of “processing-precursor-flavor” and introduction of artificial intelligence based on flavor analysis technologies to achieve the prediction and regulation of flavor can help with the directional regulation of the generation, transformation, and release of flavor components under different processing conditions. In the future, focus should be placed on the integration of low-energy-consuming processing technologies and precise flavor models, so as to provide a theoretical basis for the development of cereal products with the synergistic advantages of “flavor- nutrition-health”.

Key words: cereals; processing methods; flavor precursor substances; generation mechanism; detection technologies

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