A comprehensive methodology for parameter assessment in solid-state fermentation modelling
Solid-state fermentation (SSF) is a promising technology for bioproduct generation within a circular bioeconomy framework, but its commercial application remains limited by heat and mass transfer constraints. In this study, we present a comprehensive experimental methodology for estimating key parameters required for modelling SSF processes. The objective of this study is to establish an experimental methodology for determining model parameters and, through a sensitivity analysis, evaluate their influence on the validation of a mathematical model for SSF processes. Using sophorolipid (SL) production by Starmerella bombicola as a case study, we determine thermal properties, kinetic parameters, and transfer coefficients, and validate them through temperature profile simulations in a 22-L bioreactor. The experimentally determined values were: specific heat capacity of 1.55 J g -1 °C -1 , thermal conductivity of 0.127 W m -1 ºC -1 , heat transfer coefficient of 9790 ± 2.25 W m -3 ºC -1 , mass transfer coefficient 0.00189 ± 0.00078 s -1 , metabolic heat yield of 1.34×10 7 J kg -1 biomass and a specific growth rate of 0.389 h -1 . A sensitivity analysis identifies microbial growth kinetics and heat yield as the most critical parameters influencing model accuracy, while thermal and transport parameters show low sensitivity. This integrated approach provides both a robust modelling framework and specific values applicable to SSF-based SL production, supporting scale-up efforts and adaptation to other solid matrices or microbial systems. • Key parameters for the solid-state fermentation model were experimentally determined. • Simulated solid temperature at reactor centre agreed with experimental data. • Sensitivity analysis found growth kinetics and heat yield as most important parameters.
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