IPMP Global Fit – A one-step direct data analysis tool for predictive microbiology

The objective of this work is to develop and validate a unified optimization algorithm for performing one-step global regression analysis of isothermal growth and survival curves for determination of kinetic parameters in predictive microbiology. The algorithm is incorporated with user-friendly grap...

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Veröffentlicht in:	International journal of food microbiology 2017-12, Vol.262, p.38-48
1. Verfasser:	Huang, Lihan
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Clostridium - growth & development Combinations (mathematics) Computer programs Data analysis Data collection Data processing Experimental design Food Microbiology - methods Foodborne Diseases - microbiology Graphical user interface Interfaces Inverse analysis Inverse problems Kinetics Mathematical models Microbiological Techniques - methods Microbiology Microorganisms Models, Biological Models, Theoretical One-step kinetic analysis Optimization Optimization algorithms Parameter estimation Predictive modeling Regression Analysis Salmonella - growth & development Software Staphylococcus aureus - growth & development Survival Temperature
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