Kinetic modeling of continuous meta-fermentation quantifies metabolic activity in a complex microbial system

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Abstract One of the serious drawbacks of a complex microbial system is the difficulty in quantifying the metabolic activity of each microorganism. A kinetic model of predominant microbial species was constructed for continuous meta-fermentation in a complex microbial system at several dilution rates (D). The introduction of biomass and lactic acid inhibition terms improved model accuracies at D = 0.05 h -1 and 0.4 h -1 , respectively. The coefficient of determination (R 2 ) and root mean square error (RMSE) improved from 0.577 and 5.21 to 0.972 and 0.759, respectively, with the inhibition term at D = 0.05 h -1 . The inhibition terms resulted in good R² (0.996) and RMSE (1.27) values at D = 0.4 h -1 . By solving the Michaelis–Menten equation in the constructed models, the species flux (SF) was calculated to estimate the metabolic activity (formation and consumption) of each microorganism. At D = 0.05 h -1 , Caldibacillus hisashii contributed to lactic acid production at 0.333 g/L/h, whereas Clostridium cochlearium consumed lactic acid at 0.203 g/L/h, suggesting cross-feeding of a metabolite. It is therefore possible to account for consumption that cannot be considered in gene-derived calculations, indicating that this is a promising analytical method for investigating the dynamic behavior of complex microbial systems. Kinetic models for continuous meta-fermentation at several D values were developed. A new metabolic analysis method is proposed to estimate the activity of microbial species in a complex microbial system.

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