Work

Robust Reaction Rate Estimation with Application to Mammalian Cell Cultures

Year: 2025

Type: article

Abstract: Macroscopic modeling of bioprocesses is a common approach to derive dynamic predictors suitable for process optimization and control. This study presents a data-driven methodology for inferring reaction rates without resorting to the classical numerical differentiation of experimental data, which is prone to errors in the presence of noise. The approach is based on the minimization of a nonlinear least square criterion, which parameterizes the rates in terms of the temporal values. The proposed method is appropriate for datasets with sparse measurements and few experimental replicates. A use case considering protein production by mammalian cells is used to validate the proposed approach.

Source: IFAC-PapersOnLine

DOI: 10.1016/j.ifacol.2025.07.187

Authors: Guilherme A. Pimentel, Fernando N. Santos-Navarro, Laurent Dewasme, Alain Vande Wouwer

Institution: University of Mons

Language: English

Topic: Control Systems and Identification

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: diamond

Funders: UCB, H2020 European Research Council

OpenAlex ID: W4413167169

FWCI:

Cites: 12

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Related to: 10