[HTML][HTML] Use of simulation tools to illustrate the effect of data management practices for low and negative plate counts on the estimated parameters of microbial …
F Garces-Vega, BP Marks - Journal of food protection, 2014 - Elsevier
In the last 20 years, the use of microbial reduction models has expanded significantly,
including inactivation (linear and nonlinear), survival, and transfer models. However, a major …
including inactivation (linear and nonlinear), survival, and transfer models. However, a major …
Establishing equivalence for microbial-growth-inhibitory effects (“iso-hurdle rules”) by analyzing disparate listeria monocytogenes data with a gamma-type predictive …
L Pujol, D Kan-King-Yu, Y Le Marc… - Applied and …, 2012 - Am Soc Microbiol
Preservative factors act as hurdles against microorganisms by inhibiting their growth; these
are essential control measures for particular food-borne pathogens. Different combinations …
are essential control measures for particular food-borne pathogens. Different combinations …
Knowledge-informed data-driven modeling for sparse identification of governing equations for microbial inactivation processes in food
Prevention of the growth of harmful microorganisms in food products is an important
requirement for ensuring food safety and quality. Mathematical models to predict the …
requirement for ensuring food safety and quality. Mathematical models to predict the …
GInaFiT, a freeware tool to assess non-log-linear microbial survivor curves
AH Geeraerd, VP Valdramidis, JF Van Impe - International journal of food …, 2005 - Elsevier
This contribution focuses on the presentation of GInaFiT (Geeraerd and Van Impe
Inactivation Model Fitting Tool), a freeware Add-inn for Microsoft® Excel aiming at bridging …
Inactivation Model Fitting Tool), a freeware Add-inn for Microsoft® Excel aiming at bridging …
Quantifying the robustness of a broth-based model for predicting Listeria monocytogenes growth in meat and poultry products
KG Martino, BP Marks, DT Campos… - Journal of food protection, 2005 - Elsevier
Given the importance of Listeria monocytogenes as a risk factor in meat and poultry
products, there is a need to evaluate the relative robustness of predictive growth models …
products, there is a need to evaluate the relative robustness of predictive growth models …
[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 …
Comparing uncertainty resulting from two-step and global regression procedures applied to microbial growth models
KG Martino, BP Marks - Journal of food protection, 2007 - Elsevier
Two different microbial modeling procedures were compared and validated against
independent data for Listeria monocytogenes growth. The most generally used method is …
independent data for Listeria monocytogenes growth. The most generally used method is …
[HTML][HTML] The importance of what we cannot observe: Experimental limitations as a source of bias for meta-regression models in predictive microbiology
A Garre, MH Zwietering, HMW den Besten - International Journal of Food …, 2023 - Elsevier
Meta-regression models have gained in popularity during the last years as a way to create
more generic models for Microbial Risk Assessments that also include variability. However …
more generic models for Microbial Risk Assessments that also include variability. However …
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 …
Estimation of the probability of bacterial population survival: development of a probability model to describe the variability in time to inactivation of Salmonella enterica
K Koyama, H Hokunan, M Hasegawa, S Kawamura… - Food …, 2017 - Elsevier
Despite the development of numerous predictive microbial inactivation models, a model
focusing on the variability in time to inactivation for a bacterial population has not been …
focusing on the variability in time to inactivation for a bacterial population has not been …