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中国精品科技期刊2020
赵欣,张钰婧,陈旭峰,等. 山西老陈醋酒精发酵和醋酸发酵过程中微生物菌群与挥发性风味成分相关性分析[J]. 食品工业科技,2025,46(11):194−204. doi: 10.13386/j.issn1002-0306.2024120160.
引用本文: 赵欣,张钰婧,陈旭峰,等. 山西老陈醋酒精发酵和醋酸发酵过程中微生物菌群与挥发性风味成分相关性分析[J]. 食品工业科技,2025,46(11):194−204. doi: 10.13386/j.issn1002-0306.2024120160.
ZHAO Xin, ZHANG Yujing, CHEN Xufeng, et al. Correlation Between Volatile Aromas and Microbial Communities during the Alcoholic and Acetic Acid Fermentation Process of Shanxi Aged Vinegar[J]. Science and Technology of Food Industry, 2025, 46(11): 194−204. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2024120160.
Citation: ZHAO Xin, ZHANG Yujing, CHEN Xufeng, et al. Correlation Between Volatile Aromas and Microbial Communities during the Alcoholic and Acetic Acid Fermentation Process of Shanxi Aged Vinegar[J]. Science and Technology of Food Industry, 2025, 46(11): 194−204. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2024120160.

山西老陈醋酒精发酵和醋酸发酵过程中微生物菌群与挥发性风味成分相关性分析

Correlation Between Volatile Aromas and Microbial Communities during the Alcoholic and Acetic Acid Fermentation Process of Shanxi Aged Vinegar

  • 摘要: 本文主要采用Illumina Miseq高通量测序技术结合气相色谱-质谱联用技术(GC-MS),研究山西老陈醋整个酿造过程中微生物菌群变化和挥发性风味成分的动态变化规律,并通过偏最小二乘法(PLS)解析微生物菌群与挥发性风味成分的相关性。结果表明,酒精发酵阶段主要检测到7个细菌属和6个真菌属,重要优势菌属为魏斯氏菌属(45.34%)、乳杆菌属(29.01%)、链球菌属(13.58%)、假丝酵母菌属(89.29%)和威克汉姆酵母属(2.31%);醋酸发酵阶段主要检测到10个细菌属和18个真菌属,重要优势菌属为醋杆菌属(26.32%)、乳杆菌属(15.88%)、片球菌属(10.71%)、假丝酵母菌属(46.18%)、链格孢霉属(16.02%)和曲霉属(5.93%)。酒精发酵阶段共检测到70种挥发性物质,随着酒精发酵过程进行,3-甲基丁醇、戊醇、苯甲醇、己醇、辛醇、壬醇等高级醇类物质逐渐减少,典型特征醇类物质(乙醇)逐渐增加,乙酸乙酯、乙酸己酯、己酸异戊酯等典型特征酯类物质也缓慢上升,逐渐趋于稳定。醋酸发酵阶段共检测到72种挥发性物质,发酵过程中,醇类物质逐渐减少,乙酸和特征性酯类物质-乙酸乙酯、己酸异戊酯、乙酸-2-苯乙酯等逐渐积累。PLS分析结果显示,山西老陈醋发酵过程中菌群演替与挥发性香气成分形成之间存在显著相关性。本文为传统山西老陈醋发酵机制揭示提供数据支持。

     

    Abstract: The Illumina Miseq high-throughput sequencing technology combined with gas chromatography-mass spectrometry (GC-MS) was used to analyze the microbial communities dynamic changes and volatile flavor components production during the whole fermentation stages of Shanxi aged vinegar (SAV). Additionally, partial least-square (PLS) method was employed to analyze correlation between the microbial communities and the volatile flavor components. The results showed that total of seven bacterial genera and six fungal genera were mainly detected during the alcohol fermentation process, and the dominant genera were Weissella (45.34%), Lactobacillus (29.01%), Streptococcus (13.58%), Candida (89.29%), and Wickerhamomyces (2.31%). During the acetic acid fermentation process, ten bacterial genera and eighteen fungal genera were mainly detected, among which the Acetobacter (26.32%), Lactobacillus (15.88%), Pediococcus (10.71%), Candida (46.18%), Alternaria (16.02%), and Aspergillus (5.93%) were dominant flora. In alcohol fermentation stage, a total of 70 volatile substances were detected. As the alcohol fermentation progressed, the high-grade alcohols like 3-methylbutanol, pentanol, benzyl alcohol, hexanol, octanol and nonol gradually decreased, and the typical characteristic alcohols such as ethanol gradually increased. Meanwhile, the typical characteristic esters such as ethyl acetate, hexyl acetate and isoamyl hexanoate had slowly increased and gradually stabilized. During the acetic acid fermentation stage, 72 kinds of volatile substances were detected. With the alcohol substances decreased, acetic acid and characteristic ester substances such as ethyl acetate, isopentyl hexate, acetic acid-2-phenyl ethyl ester accumulated gradually. PLS analysis showed a significant correlation between the microbiota succession and the formation of volatile aroma components during the fermentation of SAV. This study provides detailed information for the fermentation mechanism of traditional SAV.

     

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