Predicting the kinetics of Listeria monocytogenes and Yersinia enterocolitica under dynamic growth/death-inducing conditions, in Italian style fresh sausage.L. Iannetti, R Salini, A F Sperandi, G A Santarelli, D Neri, V D Marzio, R Romantini, G Migliorati, J Baranyi (2017).  Int. J. Food Microbiol. 240.108-114

Incorporating prior knowledge improves detection of differences in bacterial growth rate. L M Rickett, N Pullen, M Hartley, C Zipfel, S Kamoun, J Baranyi and Richard J. Morris (2016).  BMC Sys. Biol. 9. 60

Inter-strain Interactions between Bacteria Isolated from Vacuum-Packaged Refrigerated Beef. Zhang,P., Baranyi,J. and Tamplin M .2015 Applied and Environmental microbiology

Metabolic shift of Escherichia coli under salt stress in the presence of glycine betaine. Metris A., George S., Mulholland F., Carter A., Baranyi J. 2014 Applied and Environmental microbiology 80:4745-4756

Error analysis in predictive modelling demonstrated on mould data. Baranyi J., Csernus O.,Beczner J. 2014 International Journal of Food Microbiology. 170:78-82

Predictive modelling of Salmonella: from cell cycle measurements to e-models. Munoz M., Metris A., Baranyi J. 2012. Food Research International 45: 852-862

Does proximity to neighbours affect germination of spores of non-proteolytic Clostridium botulinum? 2012. Webb M.D., Stringer S.C., Le Marc Y., Baranyi J., Peck M.W. Food Microbiology 32:104-109

Book Chapters/Reviews

Next Generation of Predictive Models. Pin C., Metris A., Baranyi J. (2013). In Advances in Microbial Food Safety. Editor J.Sofos. Woodhead Publishing Limited

Tamplin M., Baranyi J. & Paoli G. (2003). Software programs to increase the utility of predictive microbiology information. In: Modelling Microbial responses in Foods. (Eds: R.C McKellar, X. Lu.) CRC, Boca Raton, Fla.

Key Historical Papers

Baranyi J. and Roberts T.A. (1994). A dynamic approach to predicting bacterial growth in food. Int. J. Food Microbiol. 23, 277-294.

Baranyi J. and Tamplin M. (2004). ComBase: A Common Database on Microbial Responses to Food Environments. J. Food Prot. 67(9):1834-1840.

McMeekin J.,  Baranyi J.,  Zwietering M.,  Ross T.,  Dalgard P., Bowman J. and Kirk M. (2005). Information systems in food safety management. Int. J. Food Microbiol. 112, 181–19

Predictive Microbiology and Risk Assessment News

Risk Assessment of Fungal Spoilage: A Case Study of Aspergillus niger on Yogurt
Modelling the Effect of Combined Antimicrobials: A Base Model for Multiple-Hurdles
Combined Effects of Temperature, pH and Water Activity on Predictive Ability of Microbial Kinetic Inactivation Model
Modelling Biofilm Formation of Salmonella enterica ser Newport as a Function of pH and Water Activity
Growth Kinetics Parameters of Salmonella spp. in the Peel and in the Pulp of Custard Apple (Annona Squamosa)
Aerobic Microbial Inactivation Kinetics of Shrimp Using a Fixed Minimal Ozone Discharge: A Fact or Fib During Iced Storage?