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中国精品科技期刊2020
姜影,杨柳,朱先明,等. 传统发酵青腐乳全发酵周期微生物动态演替及其与风味代谢物的相关性分析J. 食品工业科技,2026,47(9):1−11. doi: 10.13386/j.issn1002-0306.2024030191.
引用本文: 姜影,杨柳,朱先明,等. 传统发酵青腐乳全发酵周期微生物动态演替及其与风味代谢物的相关性分析J. 食品工业科技,2026,47(9):1−11. doi: 10.13386/j.issn1002-0306.2024030191.
JIANG Ying, YANG Liu, ZHU Xianming, et al. Analysis of Microbial Dynamic Succession and Its Correlation with Flavor Metabolites During the Full Fermentation Cycle of Traditionally Gray SufuJ. Science and Technology of Food Industry, 2026, 47(9): 1−11. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2024030191.
Citation: JIANG Ying, YANG Liu, ZHU Xianming, et al. Analysis of Microbial Dynamic Succession and Its Correlation with Flavor Metabolites During the Full Fermentation Cycle of Traditionally Gray SufuJ. Science and Technology of Food Industry, 2026, 47(9): 1−11. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2024030191.

传统发酵青腐乳全发酵周期微生物动态演替及其与风味代谢物的相关性分析

Analysis of Microbial Dynamic Succession and Its Correlation with Flavor Metabolites During the Full Fermentation Cycle of Traditionally Gray Sufu

  • 摘要: 以接种毛霉UV-M2的青腐乳为研究对象,探究青腐乳全发酵周期挥发性代谢物变化、微生物变化及其相关性。本研究通过理化指标和感官评价分析评估发酵过程的质量,并确认发酵40 d达到了理想的状态。采用非靶向挥发性代谢组学技术揭示了全发酵周期代谢物具有显著差异。基于气味阈值评估了18种香气活性值(odor activity value,OAV)>1的化合物,其中呈现香气化合物有11种,包括酯类、醛类和酮类化合物等;不良气味化合物7种,包括含硫化合物等。微生物组学分析表明,随着发酵的进行,真菌和细菌的多样性显著降低。通过Spearman相关分析发现,细菌TetragenococcusHalanaerobium与大部分OAV>1的挥发性化合物呈显著正相关,Acinetobacter与大部分化合物呈显著负相关。真菌MortierellaAspergillusMalasseziaBotryotrichumPenicilliumSagenomella与大部分化合物呈极显著正相关,ActinomucorCandida与他们呈极显著负相关。此外,冗余分析(RDA)结果表明,在细菌方面,Weissella等与盐含量呈明显正相关。在真菌方面,氨基酸态氮与Mortierella等呈显著正相关,盐含量与Actinomucor等呈正相关,pH与Kodamaea等呈正相关,揭示了腐乳的品质指标与核心菌群呈正相关。以上结果表明,在发酵青腐乳过程中,香气特征与不同阶段微生物之间存在相关性。本研究对于利用微生物调控技术改善青腐乳风味品质具有参考价值。

     

    Abstract: Taking grag Sufu inoculated with Mucor UV-M2 as the research object, the changes of volatile metabolites, microorganisms and their correlation during fermentation of grag Sufu were explored. In this study, the quality of the fermentation process was comprehensively evaluated using physicochemical indexes and sensory assessment methods. The results confirmed that the fermentation process reached an optimal state after 40 days. Non-targeted volatile metabolomics analysis revealed significant variations in metabolites at different fermentation stages. Based on the odor threshold, 18 compounds with an odor activity value (OAV)>1 were evaluated. Among them, 11 compounds contributed to the aroma profile, including esters, aldehydes, and ketones, while 7 compounds were associated with unpleasant odors, mainly sulfur-containing compounds. Microbiological analysis demonstrated that the diversity of fungi and bacteria decreased significantly as the fermentation progressed. Through Spearman correlation analysis, it was found that the bacteria Tetragenococcus and Halanaerobium exhibited positive correlations with most volatile compounds with OAV>1, whereas Acinetobacter showed negative correlations with these compounds. Among fungi, Mortierella, Aspergillus, Malassezia, Botrytis, Penicillium, and Sagenomella were positively correlated with most of the compounds, while Actinomucor and Candida showed negative correlations. Furthermore, the results of redundancy analysis (RDA) indicated that, among bacteria, Weissella and other genera were positively correlated with salt content. In the fungal community, amino-acid nitrogen was positively correlated with Mortierella, salt content was positively correlated with Actinomucor, and pH was positively correlated with Kodamaea. These findings suggest that the quality indexes of gray Sufu are positively associated with the core microbial flora. Overall, the above results indicate a significant correlation between the aroma characteristics and the microbial community at different stages during the fermentation of gray Sufu. This study provides valuable references for enhancing the flavor quality of gray Sufu through microbial regulation techniques.

     

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