Simulate the natural four-season fermentation system for high-salt diluted-state soy sauce brewing: Application in flavor promotion regulation

The seasonal temperature dependency of soy sauce fermentation poses significant challenges to flavor consistency, particularly under low-temperature conditions (e.g., 15°C in winter), where diminished aroma arises from microbial metabolic constraints. Traditional multi-year field studies to decipher these mechanisms are impractical for rapid industrial optimization. In this study, we present an innovative laboratory-based seasonal temperature simulation fermentation system that precisely replicates climatic conditions (15-37°C) of the Lingnan region, enabling accelerated investigation of microbial dynamics and targeted strain interventions. Our findings revealed that, compared to the 30°C (simulating the autumn season) fermented soy sauce, which exhibits optimal flavor, 15°C (simulating the winter season) had a weaker flavor of soy sauce due to the low relative abundance of specific strains, especially Staphylococcus lloydii, Leuconostoc lactis, and Kodamaea ohmeri. Those three strains were added into the low-temperature fermentation process, Staphylococcus lloydii and Kodamaea ohmeri promoted the formation of soy sauce key aroma compounds, such as benzene acetaldehyde, 1-octen-3-ol, and ethyl acetate. Our research offers the soy sauce industry a feasible tool to efficiently and cost-effectively test the reinoculation of functional microbial strains, thereby ensuring consistent flavor profiles throughout the year.

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Publication Details

Journal
PLoS ONE
Published
2025-10-16
DOI
https://doi.org/10.1371/journal.pone.0334707
Primary Topic
Fermentation and Sensory Analysis
Type
article
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article

Simulate the natural four-season fermentation system for high-salt diluted-state soy sauce brewing: Application in flavor promotion regulation

Qing Hong, Tianchang Jia, Changzheng Wu, Xing Tong et al.
PLoS ONE
Fermentation and Sensory Analysis
article

Simulate the natural four-season fermentation system for high-salt diluted-state soy sauce brewing: Application in flavor promotion regulation

Qing Hong, Tianchang Jia, Changzheng Wu, Xing Tong, Xiaoman Yu, Wu Hui, Tao He
article en

Abstract

The seasonal temperature dependency of soy sauce fermentation poses significant challenges to flavor consistency, particularly under low-temperature conditions (e.g., 15°C in winter), where diminished aroma arises from microbial metabolic constraints. Traditional multi-year field studies to decipher these mechanisms are impractical for rapid industrial optimization. In this study, we present an innovative laboratory-based seasonal temperature simulation fermentation system that precisely replicates climatic conditions (15-37°C) of the Lingnan region, enabling accelerated investigation of microbial dynamics and targeted strain interventions. Our findings revealed that, compared to the 30°C (simulating the autumn season) fermented soy sauce, which exhibits optimal flavor, 15°C (simulating the winter season) had a weaker flavor of soy sauce due to the low relative abundance of specific strains, especially Staphylococcus lloydii, Leuconostoc lactis, and Kodamaea ohmeri. Those three strains were added into the low-temperature fermentation process, Staphylococcus lloydii and Kodamaea ohmeri promoted the formation of soy sauce key aroma compounds, such as benzene acetaldehyde, 1-octen-3-ol, and ethyl acetate. Our research offers the soy sauce industry a feasible tool to efficiently and cost-effectively test the reinoculation of functional microbial strains, thereby ensuring consistent flavor profiles throughout the year.

PLoS ONEVol. 20(10)
Foshan University (CN), Ji Hua Laboratory (CN), National Research Institute of Brewing (JP), Nanning Normal University (CN)
Openalex Percentile: Top 65%
Fermentation and Sensory Analysis
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Simulate the natural four-season fermentation system for high-salt diluted-state soy sauce brewing: Application in flavor promotion regulation — Qing Hong, Tianchang Jia, et al. · PLoS ONE (2025) | TGRS Research Map | TGRS