食品科学 ›› 2026, Vol. 47 ›› Issue (8): 270-280.doi: 10.7506/spkx1002-6630-20251022-150

• 成分分析 • 上一篇    下一篇

基于风味组学的中国不同地区糯米醋风味特征及关键标志物解析

李燕林,廖慧,高亮,王思捷,贾洪锋,董平,吴华昌   

  1. (1.成都大学食品与生物工程学院,四川 成都 610106;2.四川旅游学院 烹饪科学四川省高等学校重点实验室,四川 成都 610100;3.四川旅游学院烹饪与食品科学工程学院,四川 成都 610100;4.泸州市职业技术学校,四川 泸州 646000;5.四川旅游学院,川菜工业化四川省高等学校工程中心,四川 成都 610100)
  • 出版日期:2026-04-25 发布日期:2026-05-15
  • 基金资助:
    四川省自然科学基金项目(2024NSFSC0360);川菜工业化四川省高等学校工程研究中心项目(GCZX25-1)

Flavoromics-Based Characterization of Regional Flavor Profiles and Key Markers in Chinese Glutinous Rice Vinegar

LI Yanlin, LIAO Hui, GAO Liang, WANG Sijie, JIA Hongfeng, DONG Ping, WU Huachang   

  1. (1. College of Food and Biological Engineering, Chengdu University, Chengdu 610106, China; 2. Key Laboratory of Culinary Science of Sichuan Higher Education Institutions, Sichuan Tourism University, Chengdu 610100, China; 3. College of Culinary and Food Science Engineering, Sichuan Tourism University, Chengdu 610100, China; 4. Luzhou Vocational and Technical School, Luzhou 646000, China; 5. Engineering Center of Sichuan Cuisine Industrialization of Sichuan Higher Education Institutions, Sichuan Tourism University, Chengdu 610100, China)
  • Online:2026-04-25 Published:2026-05-15

摘要: 本研究以7 个不同地区糯米醋为研究对象,结合顶空固相微萃取-气相色谱-质谱(headspace solid-phase microextraction gas chromatography-mass spectrometry,HS-SPME-GC-MS)、顶空-气相色谱-离子迁移谱(headspace gas chromatography-ion mobility spectrometry,HS-GC-IMS)、高效液相色谱、电子鼻和电子舌等平台表征挥发性与有机酸等代表性非挥发性成分,并通过多元统计分析识别关键风味标志物与分型特征,探讨中国糯米醋的区域分布风味特征及关键标志物。结果表明,电子鼻和电子舌技术有效地区分了糯米醋。共鉴定出87 种挥发性成分,其中筛选出17 种差异显著的关键挥发物(变量投影重要性>1)。在有机酸方面,以乙酸与乳酸为主要。多平台融合的正交偏最小二乘判别分析模型表现出最佳分型能力(R2X=0.997,R2Y=0.983,Q2=0.964)。糯米醋风味由发酵底物-微生物群落-工艺环境耦合塑形,酚酸脱羧反应生成酚类及醛酮,完善了香气层次,与GC-MS、GC-IMS及电子鼻/舌联合检测得到的特征标志物差异一致,从而为产地分型提供了有力支撑。本研究加深了对糯米醋风味成因的理解,可为传统食醋风味的定向调控提供科学依据。

关键词: 糯米醋;顶空固相微萃取-气相色谱-质谱;顶空-气相色谱-离子迁移谱;关键芳香化合物;风味组学

Abstract: A multi-platform flavoromics approach-comprising headspace solid-phase microextraction coupled with gas chromatography-mass spectrometry (HS-SPME-GC-MS), headspace gas chromatography-ion mobility spectrometry (HS-GC-IMS), high performance liquid chromatography (HPLC), an electronic nose, and an electronic tongue-was used to characterize volatile compounds and representative non-volatile components (organic acids) in glutinous rice vinegar from seven different regions of China. Multivariate statistical analysis was then applied to identify key flavor markers and regional classification features, thereby elucidating the regional flavor patterns of Chinese glutinous rice vinegar. The electronic nose and electronic tongue effectively discriminated among the vinegar samples. In total, 87 volatile compounds were identified, and 17 differential key volatiles were selected based on variable importance in projection (VIP > 1). Acetic acid and lactic acid were the predominant organic acids in the samples. The fused multi-platform orthogonal partial least squares-discriminant analysis (OPLS-DA) model showed the strongest classification performance (R2X = 0.997, R2Y = 0.983, Q2 = 0.964). Mechanistically, glutinous rice vinegar flavor is shaped by the interplay of fermentation substrates, microbial communities, and processing environments; the decarboxylation of phenolic acids generates phenols and aldehydes/ketones, contributing to aroma complexity, which is consistent with the marker patterns jointly revealed by GC-MS, GC-IMS, and e-nose/e-tongue data and supports geographical origin classification. Overall, this work enhances the understanding of the regional drivers of glutinous rice vinegar flavor and provides a scientific basis for the targeted flavor regulation of traditional vinegar.

Key words: glutinous rice vinegar; headspace solid-phase microextraction coupled with gas chromatography-mass spectrometry; headspace gas chromatography-ion mobility spectrometry; key aroma compounds; flavoromics

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