Parameter Search estimates kinetic parameters for microbial growth and substrate consumption models by fitting time-course measurements of biomass and residual substrate.
Fill the experimental table with the sampling times (in hours) and the measured concentrations (g/L). Use the algorithm controls to tune the particle swarm optimization (PSO) strategy—adjust the swarm size, cognitive and social weights, inertia factor, and iteration limit to reflect the variability of your dataset. Model bounds let you constrain feasible ranges for each kinetic parameter before running the search.
After clicking Run search, the tool evaluates all supported kinetic expressions, displays the PSO progress, and plots the simulated curves against your data. Each card lists the optimized coefficients together with the maintenance term derived from Pirt (1965), so you can compare how different formulations reproduce the experiment without leaving the page.