000162435 001__ 162435
000162435 005__ 20251017144620.0
000162435 0247_ $$2doi$$a10.1016/j.ijfoodmicro.2025.111078
000162435 0248_ $$2sideral$$a145024
000162435 037__ $$aART-2025-145024
000162435 041__ $$aeng
000162435 100__ $$aGarre, Alberto
000162435 245__ $$aRevisiting secondary model features for describing the shoulder and lag parameters of microbial inactivation and growth models
000162435 260__ $$c2025
000162435 5060_ $$aAccess copy available to the general public$$fUnrestricted
000162435 5203_ $$aThe Baranyi and Geeraerd models are two of the most reliable models for the description of, respectively, microbial growth and inactivation. They are defined as a system of differential equations, whose algebraic solution can describe the microbial response during isothermal conditions, especially when combined with suitable secondary models. However, there are still large uncertainties regarding the best functions to use as secondary models for the lag phase duration (λ) and the shoulder length (Sl).
In this article, we revisit these models, focusing on the implications related to the assumption of an ideal substance whose dynamics define bacterial adaptation. We demonstrate that their link with the isothermal lag and shoulder leads to unique secondary models for the effect of temperature changes on λ and Sl. Namely, a log-linear relationship for Sl and a reverse cuadratic relationship for λ (considering a Ratkowsky model for μ). Furthermore, we observe a coupling between both secondary models (k and Sl for Geeraerd; λ and μ for Baranyi), reducing the number of unknown model parameters from four to three. Using data from the scientific literature, we illustrate the applicability of these results, being able to improve the robustness of parameter estimates.
The identification of these links are of great relevance for the field of predictive microbiology, as they resolve the uncertainty regarding the functional form of secondary models. Our results also provide a way to assess the validity of those dynamic hypotheses using data gathered under isothermal conditions, something that was hardly possible using data gathered under dynamic conditions. Although this study is limited to the effect of temperature, the general approach and methodology are also applicable to other type of secondary models, so this article can be a blueprint for future studies.
000162435 536__ $$9info:eu-repo/grantAgreement/EC/HORIZON EUROPE/101079173/EU/Shielding food safety and security by enabling the foresight of fungal spoilage and mycotoxins threats in the Mediterranean region under climate change conditions/FunShield4Med$$9info:eu-repo/grantAgreement/ES/MICINN-AEI/PRTR-C17.I1$$9info:eu-repo/grantAgreement/ES/MCINN/PID2020-116318RB-C32
000162435 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc$$uhttps://creativecommons.org/licenses/by-nc/4.0/deed.es
000162435 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000162435 700__ $$aValdramidis, Vasilis
000162435 700__ $$0(orcid)0000-0002-4027-5637$$aGuillén, Silvia$$uUniversidad de Zaragoza
000162435 7102_ $$12008$$2780$$aUniversidad de Zaragoza$$bDpto. Produc.Animal Cienc.Ali.$$cÁrea Tecnología de Alimentos
000162435 773__ $$g431 (2025), 111078 [7 pp.]$$pInt. j. food microbiol.$$tINTERNATIONAL JOURNAL OF FOOD MICROBIOLOGY$$x0168-1605
000162435 8564_ $$s1629118$$uhttps://zaguan.unizar.es/record/162435/files/texto_completo.pdf$$yVersión publicada
000162435 8564_ $$s2355308$$uhttps://zaguan.unizar.es/record/162435/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000162435 909CO $$ooai:zaguan.unizar.es:162435$$particulos$$pdriver
000162435 951__ $$a2025-10-17-14:21:13
000162435 980__ $$aARTICLE