Special issue on 10th international conference of predictive modelling in foods: Towards a new paradigm in predictive microbiology

Affiliations

¹ Department of Food Science and Technology, Faculty of Veterinary, Agrifood Campus of International Excellence (ceiA3), University of Cordoba, 14014 Córdoba, Spain. Electronic address: b42perof@uco.es.
² Department of Food Science and Technology, Faculty of Veterinary, Agrifood Campus of International Excellence (ceiA3), University of Cordoba, 14014 Córdoba, Spain.
³ Department of Nutrition and Food Science, and Center for Food Safety and Security Systems, University of Maryland, College Park, MD 20742, USA.
⁴ Department of Food Science, School of Food Engineering, University of Campinas, Campinas, SP, Brazil.
⁵ Department of Food Sciences and Nutrition, Faculty of Health Sciences, University of Malta, Msida MSD 2080, Malta.

Editorial

Fernando Pérez-Rodríguez et al. Int J Food Microbiol. 2019.

. 2019 Feb 16:291:65-66.

doi: 10.1016/j.ijfoodmicro.2018.11.010. Epub 2018 Nov 10.

¹ Department of Food Science and Technology, Faculty of Veterinary, Agrifood Campus of International Excellence (ceiA3), University of Cordoba, 14014 Córdoba, Spain. Electronic address: b42perof@uco.es.
² Department of Food Science and Technology, Faculty of Veterinary, Agrifood Campus of International Excellence (ceiA3), University of Cordoba, 14014 Córdoba, Spain.
³ Department of Nutrition and Food Science, and Center for Food Safety and Security Systems, University of Maryland, College Park, MD 20742, USA.
⁴ Department of Food Science, School of Food Engineering, University of Campinas, Campinas, SP, Brazil.
⁵ Department of Food Sciences and Nutrition, Faculty of Health Sciences, University of Malta, Msida MSD 2080, Malta.

No abstract available

Keywords: Food safety and quality; Foodborne pathogens; Mathematical models; Omics; Predictive software; Quantitative microbial risk assessment.

Publication types