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Journal of Applied Microbiology|September 9, 2009
Quantifying the heterogeneous heat response of Escherichia coli under dynamic temperaturesE Van Derlinden, I Lule, K Bernaerts, et al.International Journal of Food Microbiology|November 24, 1999
Introducing optimal experimental design in predictive modeling: a motivating exampleK J Versyck, K Bernaerts, A H Geeraerd, et al.International Journal of Food Microbiology|June 1, 2005
Cell division theory and individual-based modeling of microbial lag: part I. The theory of cell divisionE J Dens, K Bernaerts, A R Standaert, et al.International Journal of Food Microbiology|April 28, 2005
Quantifying microbial lag phenomena due to a sudden rise in temperature: a systematic macroscopic studyI A M Swinnen, K Bernaerts, K Gysemans, et al.International Journal of Food Microbiology|October 1, 2008
Identification of non-linear microbial inactivation kinetics under dynamic conditionsV P Valdramidis, A H Geeraerd, K Bernaerts, et al.International Journal of Food Microbiology|April 28, 2005
Optimal experiment design for cardinal values estimation: guidelines for data collectionK Bernaerts, K P M Gysemans, T Nhan Minh, et al.Applied and Environmental Microbiology|July 27, 2001
Quantitative analysis of bacterial gene expression by using the gusA reporter gene systemJ Sun, I Smets, K Bernaerts, et al.International Journal of Food Microbiology|June 20, 2008
Validation of a model for growth of Lactococcus lactis and Listeria innocua in a structured gel system: effect of monopotassium phosphateM Antwi, T E Theys, K Bernaerts, et al.Journal of Periodontal Research|March 9, 2018
Clinical concentrations of peroxidases cause dysbiosis in in vitro oral biofilmsE R Herrero, N Boon, K Bernaerts, et al.Mededelingen (Rijksuniversiteit Te Gent. Fakulteit Van De Landbouwkundige En Toegepaste Biologische Wetenschappen)|June 16, 2005
Current trends in predictive modelling of microbial lag phenomenaI A Swinnen, K Bernaerts, E J Dens, et al.Pageof 4