Tail or artefact? Illustration of the impact that uncertainty of the serial dilution and cell enumeration methods has on microbial inactivation
The estimation of the concentration of microorganisms in a sample is crucial for food
microbiology. For instance, it is essential for prevalence studies, challenge tests (growth …
microbiology. For instance, it is essential for prevalence studies, challenge tests (growth …
Do bacterial cell numbers follow a theoretical Poisson distribution? Comparison of experimentally obtained numbers of single cells with random number generation …
K Koyama, H Hokunan, M Hasegawa, S Kawamura… - Food …, 2016 - Elsevier
We investigated a bacterial sample preparation procedure for single-cell studies. In the
present study, we examined whether single bacterial cells obtained via 10-fold dilution …
present study, we examined whether single bacterial cells obtained via 10-fold dilution …
Individual cell heterogeneity as variability source in population dynamics of microbial inactivation
Z Aspridou, KP Koutsoumanis - Food microbiology, 2015 - Elsevier
A statistical modeling approach was applied for describing and evaluating the individual cell
heterogeneity as variability source in microbial inactivation. The inactivation data (N t vs …
heterogeneity as variability source in microbial inactivation. The inactivation data (N t vs …
Variability in microbial inactivation: from deterministic Bigelow model to probability distribution of single cell inactivation times
Z Aspridou, K Koutsoumanis - Food Research International, 2020 - Elsevier
Phenotypic heterogeneity seems to be an important component leading to biological
individuality and is of great importance in the case of microbial inactivation. Bacterial cells …
individuality and is of great importance in the case of microbial inactivation. Bacterial cells …
Recent advances in predictive microbiology: theory and application of conversion from population dynamics to individual cell heterogeneity during inactivation …
S Koseki, K Koyama, H Abe - Current Opinion in Food Science, 2021 - Elsevier
Highlights•Development of stochastic modeling technique for bacterial inactivation is
reviewed.•Variability in survival cell numbers during inactivation process is described as …
reviewed.•Variability in survival cell numbers during inactivation process is described as …
[HTML][HTML] The Most Probable Curve method-A robust approach to estimate kinetic models from low plate count data resulting in reduced uncertainty
A novel method is proposed for fitting microbial inactivation models to data on liquid media:
the Most Probable Curve (MPC) method. It is a multilevel model that makes a separation …
the Most Probable Curve (MPC) method. It is a multilevel model that makes a separation …
Heterogeneity of single cell inactivation: assessment of the individual cell time to death and implications in population behavior
Z Aspridou, A Balomenos, P Tsakanikas, E Manolakos… - Food …, 2019 - Elsevier
A direct microscopic time-lapse method, using appropriate staining for cell viability in a
confocal scanning laser microscope, was used for the direct assessment of Salmonella …
confocal scanning laser microscope, was used for the direct assessment of Salmonella …
A novel derivation of a within-batch sampling plan based on a Poisson-gamma model characterising low microbial counts in foods
U Gonzales-Barron, MH Zwietering, F Butler - International journal of food …, 2013 - Elsevier
This study proposes a novel step-wise methodology for the derivation of a sampling plan by
variables for food production systems characterised by relatively low concentrations of the …
variables for food production systems characterised by relatively low concentrations of the …
Fitting a lognormal distribution to enumeration and absence/presence data
N Commeau, E Parent, ML Delignette-Muller… - International journal of …, 2012 - Elsevier
To fit a lognormal distribution to a complex set of microbial data, including detection data (eg
presence or absence in 25g) and enumeration data (eg 30cfu/g), we compared two models …
presence or absence in 25g) and enumeration data (eg 30cfu/g), we compared two models …
A comparison between the discrete Poisson-gamma and Poisson-lognormal distributions to characterise microbial counts in foods
U Gonzales-Barron, F Butler - Food Control, 2011 - Elsevier
The choice of statistical distributions characterising microbial counts is essential in risk
assessment and risk management. While the lognormal distribution has been long used to …
assessment and risk management. While the lognormal distribution has been long used to …