A study on the optimal design of isothermal experiments in predictive microbiology.

Authors

Alba Muñoz Del Río, Víctor Casero-Alonso, Mariano Amo-Salas

Published in

Scientific reports. Volume 15. Issue 1. Pages 30478. Aug 20, 2025. Epub Aug 20, 2025.

Abstract

This study addresses from the Optimal Experimental Design perspective the use of the isothermal experimentation procedure to precisely estimate the parameters defining models used in predictive microbiology. Starting from a case study set out in the literature, and taking the Baranyi model as the primary model, and the Ratkowsky square-root model as the secondary, D- and c-optimal designs are provided for isothermal experiments, taking the temperature both as a value fixed by the experimenter and as a variable to be designed. The designs calculated show that those commonly used in practice are not efficient enough to estimate the parameters of the secondary model, leading to greater uncertainty in the predictions made via these models. Finally, an analysis is carried out to determine the effect on the efficiency of the possible reduction in the final experimental time.

PMID:
40830569
Bibliographic data and abstract were imported from PubMed on 20 Aug 2025.

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