Dynamic Modeling of Carnobacterium maltaromaticum CNCM I-3298 Growth and Metabolite Production and Model-Based...

Area of Science:

• Microbiology and Food Science
• Biochemical Engineering
• Mathematical Modeling

Background:

• Carnobacterium maltaromaticum is a lactic acid bacterium utilized in food biopreservation and flavor development.
• It serves as a biological indicator in time-temperature integrators for monitoring perishable food cold chains.
• Understanding its growth and metabolic dynamics is crucial for optimizing food processing and safety.

Purpose of the Study:

• To develop a dynamic model for Carnobacterium maltaromaticum CNCM I-3298 growth and metabolite production from trehalose.
• To describe the influence of operating conditions on specific growth, production rates, and product inhibition.
• To provide a predictive tool for optimizing fermentation processes.

Main Methods:

• Utilized reaction scheme formalism to build a dynamic growth and metabolite production model.
• Employed response surface methodology to define dependencies on operating conditions (temperature, pH).
• Calibrated and validated the model using 16 batch culture experiments under diverse conditions.

Main Results:

• The model accurately predicted biomass, trehalose, and metabolite (formic acid, acetic acid, lactic acid, ethanol) dynamics.
• Achieved a mean relative error of 10% for biomass and 14% for trehalose and metabolites.
• Demonstrated model's capability across a wide range of temperatures (20-37 °C) and pH (6.0-9.5).

Conclusions:

• The developed dynamic model is a valuable tool for optimizing Carnobacterium maltaromaticum CNCM I-3298 cultivation.
• Model-based optimization can reduce experimental workload and accelerate process development.
• Applications include enhancing starter culture production and improving fermentation yields for industrial metabolites.