食品科学 ›› 2026, Vol. 47 ›› Issue (13): 236-248.doi: 10.7506/spkx1002-6630-20251210-098

• 成分分析 • 上一篇    下一篇

智能化与传统酿造酱香型基酒风味物质对比分析

李昱颉,牛曼思,陆震鸣,柴丽娟,许泓瑜,迟原龙,涂荣坤,王松涛,张晓娟,沈才洪,许正宏   

  1. (1.江南大学生物工程学院,工业生物技术教育部重点实验室,江苏 无锡 214122;2.泸州品创科技有限公司,四川 泸州 646000;3.国家固态酿造工程技术研究中心,四川 泸州 646000;4.四川大学轻工科学与工程学院,先进酿造科技创新中心,四川 成都 610065)
  • 出版日期:2026-07-15 发布日期:2026-07-17
  • 基金资助:
    国家固态酿造中心资助项目(2023NB09)

Comparative Analysis of Flavor Compounds of Intelligently and Traditionally Brewed Jiangxiangxing Baijiu Base Liquors

LI Yujie, NIU Mansi, LU Zhenming, CHAI Lijuan, XU Hongyu, CHI Yuanlong, TU Rongkun, WANG Songtao, ZHANG Xiaojuan, SHEN Caihong, XU Zhenghong   

  1. (1. Key Laboratory of Industrial Biotechnology of Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi 214122, China; 2. Luzhou Pinchuang Technology Co. Ltd., Luzhou 646000, China; 3. National Engineering Research Center of Solid-State Brewing, Luzhou 646000, China; 4. Innovation Center for Advanced Brewing Science and Technology, College of Biomass Science and Engineering, Sichuan University, Chengdu 610065, China)
  • Online:2026-07-15 Published:2026-07-17

摘要: 为系统比较智能化与传统手工酿造酱香型基酒的风味差异,采用液-液微萃取-气相色谱-质谱法和直接进样-气相色谱-火焰离子化检测器法,结合多元统计方法,对同一企业2 类车间1~7 轮次上、中、下醅层的42 个基酒样品进行对比分析。结果表明:智能化车间基酒整体富集醛类、酮类、酸类、吡嗪类、呋喃类及长链脂肪酸乙酯;传统手工车间基酒则以中短链酯类及部分醇类更为突出。基于气味活度值>1与变量投影重要性值>1,筛选出17 种关键差异风味化合物(如2,5-二甲基吡嗪、2-甲基丁醛、DL-白氨酸乙酯等),其含量在智能化车间基酒中显著更高。2 类基酒在轮次与醅层方面的演化趋势一致,但智能化车间基酒中部分物质峰值轮次提前且醅层变异系数更低,分布更趋均一。本研究为酱香型白酒智能化生产的品质评价与工艺优化提供了理论依据,对产业智能化转型升级具有指导意义。

关键词: 酱香型白酒;智能化酿造;传统手工酿造;轮次与醅层;风味物质

Abstract: Liquid-liquid microextraction-gas chromatography-mass spectrometry, direct injection-gas chromatography-flame ionization detection, and multivariate statistical methods were employed to systematically compare the difference in flavor between intelligently and traditionally brewed Jiangxiangxing baijiu base liquors. A total of 42 base liquor samples from the upper, middle, and lower layers of fermented grains were collected from fermentation rounds 1–7 in two types of workshops within the same enterprise. The results indicated that base liquors from the intelligent workshops were generally rich in aldehydes, ketones, acids, pyrazines, furans, and long-chain fatty acid ethyl esters, while those from the traditional manual workshops prominently contained medium- and short-chain esters and alcohols. Based on odor activity value > 1 and variable importance in the projection (VIP) > 1, 17 key differential compounds (such as 2,5-dimethylpyrazine, 2-methylbutanal, and DL-leucine ethyl ester) were identified, with significantly higher concentrations in the samples from the intelligent workshops. Evolutionary trends across fermentation rounds and fermented grain layers were consistent between the two types of base liquors, but some substances in the base liquors from the intelligent workshops peaked in earlier fermentation rounds and exhibited lower coefficient of variation among fermented grain layers, indicating a more uniform distribution. This study provides a theoretical basis for quality evaluation and process optimization in the intelligent production of jiangxiangxing baijiu, offering guidance for the intelligent transformation and upgrading of the industry.

Key words: jiangxiangxing baijiu; intelligent brewing; traditional manual brewing; fermentation rounds and fermented grain layers; flavor compounds

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