Optimal experimental design for discriminating between microbial growth models as function of suboptimal temperature: From in silico to in vivo

I Stamati, S Akkermans, F Logist, E Noriega… - Food Research …, 2016 - Elsevier
Temperature is an important food preservation factor, affecting microbial growth. Secondary
predictive models can be used for describing the impact of this factor on microbial growth. In …
被引用次数：13 相关文章
[PDF] academia.edu

[PDF][PDF] Optimal experimental design for discriminating between microbial growth models as function of suboptimal temperature

I Stamatia, F Logista, E Van Derlindena, JP Gauchib… - academia.edu
In the field of predictive microbiology, mathematical models play an important role for
describing microbial growth, survival and inactivation. Often different models are available …
[PDF] core.ac.uk

[PDF][PDF] Optimal experimental design for discriminating between microbial growth models as function of suboptimal temperature

I Stamatia, F Logista, E Van Derlindena, JP Gauchib… - core.ac.uk
In the field of predictive microbiology, mathematical models play an important role for
describing microbial growth, survival and inactivation. Often different models are available …

Optimal experimental design for discriminating between microbial growth models as function of suboptimal temperature: from in silico to in vivo.

I Stamati, S Akkermans, F Logist, E Noriega, J Impe - 2016 - cabidigitallibrary.org
Temperature is an important food preservation factor, affecting microbial growth. Secondary
predictive models can be used for describing the impact of this factor on microbial growth. In …

Optimal experimental design for discriminating between microbial growth models as function of suboptimal temperature: From in silico to in vivo

I Stamati, S Akkermans, F Logist… - Food research …, 2016 - pubmed.ncbi.nlm.nih.gov
Temperature is an important food preservation factor, affecting microbial growth. Secondary
predictive models can be used for describing the impact of this factor on microbial growth. In …

Optimal experimental design for discriminating between microbial growth models as function of suboptimal temperature: From in silico to in vivo.

I Stamati, S Akkermans, F Logist, E Noriega… - Food Research …, 2016 - europepmc.org
Temperature is an important food preservation factor, affecting microbial growth. Secondary
predictive models can be used for describing the impact of this factor on microbial growth. In …

Optimal experimental design for discriminating between microbial growth models as function of suboptimal temperature: From in silico to in vivo

I Stamati, S Akkermans, F Logist, E Noriega… - Food Research …, 2016 - infona.pl
Temperature is an important food preservation factor, affecting microbial growth. Secondary
predictive models can be used for describing the impact of this factor on microbial growth. In …
[PDF] kuleuven.be

[PDF][PDF] Optimal experimental design for discriminating between microbial growth models as function of suboptimal temperature

I Stamatia, F Logista, E Van Derlindena, JP Gauchib… - lirias.kuleuven.be
In the field of predictive microbiology, mathematical models play an important role for
describing microbial growth, survival and inactivation. Often different models are available …

[引用][C] Optimal experimental design for discriminating between microbial growth models as function of suboptimal temperature: From in silico to in vivo

I Stamati, S Akkermans, F Logist, E Noriega… - 2016