The workshop is structured in theoretical sessions encompassing topics on the relevance of predictive microbiology, microbial growth and inactivation models and experimental designs for static and dynamic experiments.

The practical sessions consist of modelling exercises for primary, secondary, omnibus, dynamic modelling and microbial competition modelling, to be conducted using the R software.

The practical sessions will also demonstrate the ready-to-use computer application IPMP.

Day 1

9:00 – 10:30 Introduction to Predictive Microbiology. The Need for Predictive Microbiology. Classification of Models. Static versus Dynamic Experiments
Dr. Ursula Gonzales-Barron
Dr. Lihan Huang

10:30 – 10:45 Coffee Break

10:45 – 11:45 Experimental Designs in Static Predictive Microbiology
Dr. Vasco Cadavez

11:45 – 12:45 Experimental Designs in Dynamic Predictive Microbiology
Dr. Lihan Huang

12:45 – 14:00 Lunch Break

14:00 – 16:00 Statistical Analysis and Tools in Predictive Microbiology (I) - Primary Models for Growth and Inactivation • Linear and nonlinear regression • Model comparison and selection
Dr. Vasco Cadavez

16:00 – 17:45 Statistical Analysis and Tools in Predictive Microbiology (II) - Secondary Models for Growth and Inactivation
Dr. Ursula Gonzales-Barron

Day 2

08:45 – 10:45 Statistical Analysis and Tools in Predictive Microbiology (III) – Omnibus Modelling for Static Experiments
Dr. Vasco Cadavez

10:45 – 11:00 Coffee Break

11:00 – 13:00: Statistical Analysis and Tools in Predictive Microbiology (IV) – Dynamic Model Development
Dr. Lihan Huang

13:00 – 14:00 Lunch Break

14:00 – 16:00 Statistical Analysis and Tools in Predictive Microbiology (V) – Models for Microbial Competition and Interactions in Food
Dr. Vasco Cadavez
Dr. Ursula Gonzales-Barron

16:00 – 17:45 Food Safety Assessment and Predictive Tools (I) – A case of cooling deviation and the safety of Clostridium perfringens in cooked meats
Dr. Lihan Huang