Multiobjective optimization of frozen and freeze-dried Lactobacillus delbrueckii subsp. bulgaricus CFL1 production via the modification of fermentation conditions - Archive ouverte HAL
Article Dans Une Revue Journal of Applied Microbiology Année : 2023

Multiobjective optimization of frozen and freeze-dried Lactobacillus delbrueckii subsp. bulgaricus CFL1 production via the modification of fermentation conditions

Résumé

Aim: This study investigates the individual and combined effects of fermentation parameters for improving cell biomass productivity and the resistance to freezing, freeze-drying and freeze-dried storage of Lactobacillus delbrueckii subsp. bulgaricus CFL1. Methods and Results: Cells were cultivated at different temperatures (42°C and 37°C), pHs (5.8 and 4.8) and harvested at various growth phases (mid-exponential, deceleration and stationary growth phases). Specific acidifying activity was determined after fermentation, freezing, freeze-drying and freeze-dried storage. Multiple regression analyses were performed to identify the effects of fermentation parameters on the specific acidifying activity losses and to generate the corresponding 3D response surfaces. A multi-objective decision approach was applied to optimize biomass productivity and specific acidifying activity. The temperature positively influenced biomass productivity, whereas low pH during growth reduced the loss of specific acidifying activity after freezing and freeze-drying. Furthermore, freeze-drying resistance was favored by increased harvest time. Conclusions: Productivity, freezing and freeze-drying resistances of Lactobacillus delbrueckii subsp. bulgaricus CFL1 were differentially affected by the fermentation parameters studied. There was no single fermentation condition that improved both productivity and resistance to freezing and freezedrying. Thus, Pareto fronts were helpful to optimize productivity and resistance, when cells were grown at 42°C, pH 4.8, and harvested at the deceleration phase. Significance and Impact of the study: Setting up predictive models for optimizing fermentation conditions is an efficient approach to guiding starter production and modulating the resistance to freezing and freeze-drying.
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hal-04345553 , version 1 (14-12-2023)

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Maria de Lourdes Tovilla Coutino, Stephanie Passot, Ioan-Cristian Trelea, Marie-Hélène Ropers, Yann Gohon, et al.. Multiobjective optimization of frozen and freeze-dried Lactobacillus delbrueckii subsp. bulgaricus CFL1 production via the modification of fermentation conditions. Journal of Applied Microbiology, 2023, 134 (2), pp.1-34. ⟨10.1093/jambio/lxad003⟩. ⟨hal-04345553⟩
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