Lactose Fermentation by Lactococcus lactis: Contois Kinetics and Whey Utilization Optimization

This study conducts a cross-analysis of the biology scenario for Lactococcus lactis MG1363 (lactis) in De Man, Rogosa and Sharpe (MRS) Broth medium, leveraging the SwarmLabs virtual experiment engine. The scenario employs an unknown kinetics model, utilizing a GP surrogate model and active learning strategies to extract the optimal parameter combination from the minimum number of experiments.

Experimental scenario: Lactose fermentation of Lactococcus lactis

This scenario simulates the growth behavior of Lactococcus lactis MG1363 in De Man, Rogosa and Sharpe (MRS) Broth. The core model employs unknown kinetics, with key parameters including the specific growth rate μ_max, half-saturation constant Ks, among others.

Strain Profile: Lactococcus lactis MG1363

*Lactococcus lactis* MG1363 is a model strain commonly used in biological research.

Medium formulation: De Man, Rogosa and Sharpe (MRS) Broth

De Man, Rogosa and Sharpe (MRS) broth is the standard culture medium for Lactococcus lactis MG1363.

Cross-analysis: Biological kinetics of Lactococcus lactis MG1363 × De Man, Rogosa and Sharpe (MRS) Broth

Combining the genomic characteristics of Lactococcus lactis MG1363 (phylum: Bacillota) with the nutrient composition of De Man, Rogosa and Sharpe (MRS) Broth enables precise prediction of growth curves in biological scenarios within a virtual environment. This combination covers the complete parameter space ranging from a maximum specific growth rate of 0.58 to a half-saturation constant of 0.3.

Recommended Parameters for Virtual Experiments

Based on this scenario × strain × medium combination, the SwarmLabs virtual experiment engine can automatically execute the following workflow:

• Using a GP surrogate model (noise_var=0.03²) to fit the unknown dynamics curve.
• Reduced from 16 runs of full factorial experiments to ~12 via an active learning strategy.
• VirtualLab Guard Three-State Gating: Regions with prediction confidence below the threshold are automatically flagged as "requires verification"
• Output the fitted curve with uncertainty intervals, R² expected > 0.95 (benchmarking against Monod 1949).

From Literature to Virtual Experiments: Lactose Fermentation by Lactococcus lactis: Contois Kinetics and Optimization of Whey Utilization

Through the SwarmLabs virtual experiment engine, researchers can rapidly evaluate the biological kinetic behavior of Lactococcus lactis MG1363 in De Man, Rogosa and Sharpe (MRS) Broth medium without conducting physical wet-lab experiments. This "data-driven research" model compresses traditional R&D cycles that once required weeks into just hours, providing a completely new technical pathway for microbiology research and industrial fermentation optimization.