食品科学 ›› 2025, Vol. 46 ›› Issue (7): 151-161.doi: 10.7506/spkx1002-6630-20240809-080

• 生物工程 • 上一篇    下一篇

控温控湿高温大曲在制酒生产过程中的应用

任婷婷,晏培,山其木格,唐平,谭壹,李冰冰,尹学忠,陈双宇,曾大刚,侯玉祥,卢君   

  1. (1.贵州国台数智酒业集团股份有限公司,贵州 仁怀 564500;2.贵州国台聚德数智酒业有限公司,贵州 仁怀 564500;3.天士力控股集团有限公司研究院,天津 300410;4.贵州国台庄园数智酒业有限公司,贵州 仁怀 564500)
  • 出版日期:2025-04-15 发布日期:2025-03-19
  • 基金资助:
    贵州省科技计划项目(黔科合成果[2023]一般149;黔科合成果[2023]一般150;黔科统研[2024]242号); 贵州省工信厅发展专项(202209)

Application of High-Temperature Daqu with Controlled Temperature and Humidity in Baijiu Brewing

REN Tingting, YAN Pei, SHAN Qimuge, TANG Ping, TAN Yi, LI Bingbing, YIN Xuezhong, CHEN Shuangyu, ZENG Dagang, HOU Yuxiang, LU Jun   

  1. (1. Guizhou Guotai Intelligent Baijiu Industry Group Co., Ltd., Renhuai 564500, China; 2. Guizhou Guotai Jude Intelligent Baijiu Industry Co., Ltd., Renhuai 564500, China; 3. Tasly Academy, Tasly Holding Group Co. Ltd., Tianjin 300410, China; 4. Guizhou Guotai Zhuangyuan Intelligent Baijiu Industry Co., Ltd., Renhuai 564500, China)
  • Online:2025-04-15 Published:2025-03-19

摘要: 为实现酱香型白酒高温大曲生产自动化,采用控温控湿曲房生产高温大曲。本研究采用高通量测序技术结合顶空固相微萃取结合气相色谱与质谱联用技术对控温控湿曲房大曲与传统曲房大曲在第6轮次制酒生产过程中的酒醅进行跟踪检测。结果表明,Firmicutes是实验窖(67.95%~86.04%)和对照窖(81.24%~89.04%)整个发酵过程中的主要优势细菌门;Ascomycota作为实验窖和对照窖中的绝对优势真菌门,其相对丰度均大于97%。整个发酵过程实验窖优势细菌属为Kroppenstedtia(18.50%)、Virgibacillus(17.00%)和Thermoactinomyces(13.25%),优势真菌属为Monascus(25.93%)、Thermomyces(17.75%)和Byssochlamys(15.78%);对照窖优势细菌属为Kroppenstedtia(30.05%)、Virgibacillus(20.84%)和Oceanobacillus(15.00%),优势真菌属为Pichia(50.74%)、Monascus(14.18%)和Byssochlamys(8.97%)。在酒醅中共筛选得到97 种挥发性风味物质,实验窖与对照窖糟醅中挥发性风味物质总含量分别为2 143.29 mg/kg和2 521.04 mg/kg。根据变量重要性投影值大于1,共筛选得到29 种显著差异挥发性风味物质,采用Spearman方法计算显著差异代谢物与优势微生物之间的相关性,结果表明与大部分酯类物质呈显著正相关的菌属在实验窖中的相对丰度高于对照窖,而对照窖中相对丰度较高的菌属如Pichia和Kroppenstedtia,主要与大部分醇类物质呈显著正相关。通过跟踪两种大曲在实际生产过程中微生物和挥发性风味物质的变化发现,控温控湿曲房大曲生产应用中(至少在第6轮次生产中)对大部分酯类的产生具有积极作用。使用PICRUSt2软件对细菌菌群的代谢功能进行预测,结果表明控温控湿曲房大曲在实际生产过程中具有与传统曲房大曲相同的安全性和功能性。本研究有助于酱香型白酒机械化酿造模式转型升级。

关键词: 控温控湿曲房大曲;传统曲房大曲;制酒过程;微生物;风味

Abstract: To achieve automation of high-temperature Daqu production for jiang-flavor baijiu, temperature- and humidity-controlled rooms were employed. High-throughput sequencing and headspace solid-phase microextraction (HS-SPME) combined with gas chromatography-mass spectrometry (GC-MS) were used to detect the microbial communities and volatile flavor components of Jiupei (fermented grains) made with temperature- and humidity-controlled Daqu or traditional Daqu during the sixth round of baijiu brewing, respectively. The results showed that Firmicutes was the dominant bacterial phylum in the experimental (67.95%-86.04%) and control (81.24%-89.04%) cellars during the entire fermentation process. Ascomycota was the absolute dominant fungal phylum in both cellars, with relative abundance exceeding 97%. During the entire fermentation process, the dominant bacterial genera in the experimental cellar were Kroppenstedtia (18.50%), Virgibacillus (17.00%), and Thermoactinomyces (13.25%), and the dominant fungal genera were Monascus (25.93%), Thermomyces (17.75%), and Byssochlamys (15.78%). The dominant bacterial genera in the control cellar were Kroppenstedtia (30.05%), Virgibacillus (20.84%), and Oceanobacillus (15.00%), and the dominant fungal genera were Pichia (50.74%), Monascus (14.18%), and Byssochlamys (8.97%). A total of 97 volatile flavor compounds were identified in Jiupei, and the total content of volatile flavor compound was 2 143.29 and 2 521.04 mg/kg in the experimental and control cellars, respectively. Using the cutoff of variable importance in the projection (VIP) values greater than one, 29 significantly differential volatile flavor compounds were identified. Spearman analysis was used to calculate the correlation between the significantly differential metabolites and the dominant microorganisms, revealing that the bacterial genera significantly positively correlated with the majority of ester compounds had a higher relative abundance in the experimental cellar compared with the control cellar, whereas the bacterial genera with a higher relative abundance in the control cellar, such as Pichia and Kroppenstedtia, were mainly positively correlated with most alcohol compounds. Analysis of the changes in microbial communities and volatile flavor compounds during the production of Daqu revealed that applying temperature- and humidity-controlled Daqu in the sixth round of baijiu brewing had a positive effect on the formation of most ester compounds. The metabolic function prediction of bacterial flora using the PICRUSt2 software showed that temperature- and humidity-controlled Daqu exhibited comparable safety and functionality to traditional Daqu in baijiu production. This research will contribute to the transformation and upgrading of the mechanized brewing mode for jiang-flavor baijiu.

Key words: temperature- and humidity-controlled Daqu; traditional Daqu; brewing process; microorganisms; flavor

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