Food Microbiology 45 (2015) 159
Contents lists available at ScienceDirect
Food Microbiology journal homepage: www.elsevier.com/locate/fm
Preface This special issue of Food Microbiology is dedicated to the 8th International Conference on Predictive Modelling in Food (ICPMF8). Since the first conference in 1992, this community of food microbiologists, mathematicians, biochemists, and food and process scientists studying the modelling of the microbiological safety and quality of foods has gathered every two or three years at this international conference. ICPMF8 was held in Institut Pasteur, Paris, France, September 16e20, 2013 and was co-organised by the French institute of pig and pork products (IFIP), the French dairy board (CNIEL) and the Symprevius consortium. We the guest editors would like to thank the organisers of ICPMF8 for making this conference a great success. This special issue contains a selection of original research papers from among 52 oral and 94 poster presentations of the conference, and they illustrate the diversity of topics that were addressed. The two first papers present new approaches in predictive modelling and emphasize the necessary interdisciplinary nature of our scientific field. A selection of papers then follows presenting innovative approaches in the heterogeneity of the individual cell behaviour. This selection includes studies on the between-strain phenotypic and gene transcriptional variability. Valuable contributions for quantitative microbial risk assessment are also proposed and finally new predictive models are described. The last paper is dedicated to the “software fair” of the conference and contains a comparison of predictive modelling software available worldwide. The overall selection of papers highlights important challenges for predictive modelling in food including: modelling the behaviour of a few microbial cells in solid food matrices during a process inducing growth, stress or death; correlating the behaviour and the virulence and more generally the phenotypic variability with the genetic polymorphism; incorporating this information more fully in quantitative risk assessment;
http://dx.doi.org/10.1016/j.fm.2014.10.009 0740-0020/© 2014 Published by Elsevier Ltd.
and finally our capacity to propose relevant and user-friendly decision-support tools to utilize data and models related to microbial behaviour. The guest editors would like to thank the members of the scientific committee of ICPMF8 and the editorial board of Food Microbiology for their valuable assistance during the review process of these full papers, as well as the authors for their original contributions. Finally we warmly acknowledge Dr. Mary Lou Tortorello, Editor-in-Chief, and the editorial staff of Elsevier for their support in the rapid publication of this issue. Jean-Christophe Augustin Universit e Paris-Est, Ecole Nationale V et erinaire d'Alfort, Maisons-Alfort, France E-mail address: [email protected]. Paw Dalgaard Division of Industrial Food Research, National Food Institute (DTU Food), Technical University of Denmark, Kgs. Lyngby, Denmark E-mail address: [email protected]. Kostas Koutsoumanis Dept. of Food Science and Technology, Lab. of Food Microbiology and Hygiene, Faculty of Agriculture, Aristotle University of Thessaloniki, Greece E-mail address: [email protected]. Don Schaffner Department of Food Science, Rutgers University, New Brunswick, NJ, USA E-mail address: [email protected].
Contents lists available at ScienceDirect
Food Microbiology journal homepage: www.elsevier.com/locate/fm
Preface This special issue of Food Microbiology is dedicated to the 8th International Conference on Predictive Modelling in Food (ICPMF8). Since the first conference in 1992, this community of food microbiologists, mathematicians, biochemists, and food and process scientists studying the modelling of the microbiological safety and quality of foods has gathered every two or three years at this international conference. ICPMF8 was held in Institut Pasteur, Paris, France, September 16e20, 2013 and was co-organised by the French institute of pig and pork products (IFIP), the French dairy board (CNIEL) and the Symprevius consortium. We the guest editors would like to thank the organisers of ICPMF8 for making this conference a great success. This special issue contains a selection of original research papers from among 52 oral and 94 poster presentations of the conference, and they illustrate the diversity of topics that were addressed. The two first papers present new approaches in predictive modelling and emphasize the necessary interdisciplinary nature of our scientific field. A selection of papers then follows presenting innovative approaches in the heterogeneity of the individual cell behaviour. This selection includes studies on the between-strain phenotypic and gene transcriptional variability. Valuable contributions for quantitative microbial risk assessment are also proposed and finally new predictive models are described. The last paper is dedicated to the “software fair” of the conference and contains a comparison of predictive modelling software available worldwide. The overall selection of papers highlights important challenges for predictive modelling in food including: modelling the behaviour of a few microbial cells in solid food matrices during a process inducing growth, stress or death; correlating the behaviour and the virulence and more generally the phenotypic variability with the genetic polymorphism; incorporating this information more fully in quantitative risk assessment;
http://dx.doi.org/10.1016/j.fm.2014.10.009 0740-0020/© 2014 Published by Elsevier Ltd.
and finally our capacity to propose relevant and user-friendly decision-support tools to utilize data and models related to microbial behaviour. The guest editors would like to thank the members of the scientific committee of ICPMF8 and the editorial board of Food Microbiology for their valuable assistance during the review process of these full papers, as well as the authors for their original contributions. Finally we warmly acknowledge Dr. Mary Lou Tortorello, Editor-in-Chief, and the editorial staff of Elsevier for their support in the rapid publication of this issue. Jean-Christophe Augustin Universit e Paris-Est, Ecole Nationale V et erinaire d'Alfort, Maisons-Alfort, France E-mail address: [email protected]. Paw Dalgaard Division of Industrial Food Research, National Food Institute (DTU Food), Technical University of Denmark, Kgs. Lyngby, Denmark E-mail address: [email protected]. Kostas Koutsoumanis Dept. of Food Science and Technology, Lab. of Food Microbiology and Hygiene, Faculty of Agriculture, Aristotle University of Thessaloniki, Greece E-mail address: [email protected]. Don Schaffner Department of Food Science, Rutgers University, New Brunswick, NJ, USA E-mail address: [email protected].
