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Alberto Garre

Showing results (11-20 of 61) with videos related to

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Food Research International (Ottawa, Ont.)|November 25, 2020
Multilevel modelling as a tool to include variability and uncertainty in quantitative microbiology and risk assessment. Thermal inactivation of Listeria monocytogenes as proof of conceptAlberto Garre, Marcel H Zwietering, Heidy M W den Besten
International Journal of Food Microbiology|August 19, 2022
The Most Probable Curve method - A robust approach to estimate kinetic models from low plate count data resulting in reduced uncertaintyAlberto Garre, Marcel H Zwietering, Martinus A J S van Boekel
Journal of Agricultural and Food Chemistry|March 14, 2026
Simulation of the Metabolic Response to an Interventional Study with New Healthy Beverages by Machine-Learning RegressionDiego Hernández-Prieto, Jose A Egea, Cristina García-Viguera, et al.
EFSA Journal. European Food Safety Authority|December 16, 2022
Training in tools to develop quantitative microbial risk assessment along the food chain of Spanish productsAlessandro Zambon, Alberto Garre Perez, Sara Spilimbergo, et al.
Food Research International (Ottawa, Ont.)|July 10, 2019
The use of trade data to predict the source and spread of food safety outbreaks: An innovative mathematical modelling approachAlberto Garre, Pablo S Fernandez, Paul Brereton, et al.
Food Research International (Ottawa, Ont.)|July 15, 2022
Different model hypotheses are needed to account for qualitative variability in the response of two strains of Salmonella spp. under dynamic conditionsLeonidas Georgalis, Anna Psaroulaki, Arantxa Aznar, et al.
Heliyon|March 11, 2024
Development of novel natto using legumes produced in EuropeRebecca Rocchi, Jasper Zwinkels, Merit Kooijman, et al.
Frontiers in Microbiology|August 9, 2018
Relevance of the Induced Stress Resistance When Identifying the Critical Microorganism for Microbial Risk AssessmentAlberto Garre, Jose A Egea, Asunción Iguaz, et al.
EFSA Journal. European Food Safety Authority|December 23, 2024
Training in modern statistical methodologies and software tools for the definition and analysis of (stochastic) quantitative microbial risk assessment models with relevant food products for the Italian and Spanish food supply chainsAbdul Muhammad Ehtesham, Virginia Filipello, Pablo S Fernandèz Escàmez, et al.
Food Research International (Ottawa, Ont.)|November 1, 2025
Optimal strategies for estimating the parameters of the Baranyi-Ratkowsky model: from (optimal) experiment design to model fitting methodsAlberto Garre, Theocharia Tsagkaropoulou, Silvia Guillén, et al.
Pageof 7

Showing results (11-20 of 61) with videos related to

Sort By:
Pageof 7
Food Research International (Ottawa, Ont.)|November 25, 2020
Multilevel modelling as a tool to include variability and uncertainty in quantitative microbiology and risk assessment. Thermal inactivation of Listeria monocytogenes as proof of conceptAlberto Garre, Marcel H Zwietering, Heidy M W den Besten
International Journal of Food Microbiology|August 19, 2022
The Most Probable Curve method - A robust approach to estimate kinetic models from low plate count data resulting in reduced uncertaintyAlberto Garre, Marcel H Zwietering, Martinus A J S van Boekel
Journal of Agricultural and Food Chemistry|March 14, 2026
Simulation of the Metabolic Response to an Interventional Study with New Healthy Beverages by Machine-Learning RegressionDiego Hernández-Prieto, Jose A Egea, Cristina García-Viguera, et al.
EFSA Journal. European Food Safety Authority|December 16, 2022
Training in tools to develop quantitative microbial risk assessment along the food chain of Spanish productsAlessandro Zambon, Alberto Garre Perez, Sara Spilimbergo, et al.
Food Research International (Ottawa, Ont.)|July 10, 2019
The use of trade data to predict the source and spread of food safety outbreaks: An innovative mathematical modelling approachAlberto Garre, Pablo S Fernandez, Paul Brereton, et al.
Food Research International (Ottawa, Ont.)|July 15, 2022
Different model hypotheses are needed to account for qualitative variability in the response of two strains of Salmonella spp. under dynamic conditionsLeonidas Georgalis, Anna Psaroulaki, Arantxa Aznar, et al.
Heliyon|March 11, 2024
Development of novel natto using legumes produced in EuropeRebecca Rocchi, Jasper Zwinkels, Merit Kooijman, et al.
Frontiers in Microbiology|August 9, 2018
Relevance of the Induced Stress Resistance When Identifying the Critical Microorganism for Microbial Risk AssessmentAlberto Garre, Jose A Egea, Asunción Iguaz, et al.
EFSA Journal. European Food Safety Authority|December 23, 2024
Training in modern statistical methodologies and software tools for the definition and analysis of (stochastic) quantitative microbial risk assessment models with relevant food products for the Italian and Spanish food supply chainsAbdul Muhammad Ehtesham, Virginia Filipello, Pablo S Fernandèz Escàmez, et al.
Food Research International (Ottawa, Ont.)|November 1, 2025
Optimal strategies for estimating the parameters of the Baranyi-Ratkowsky model: from (optimal) experiment design to model fitting methodsAlberto Garre, Theocharia Tsagkaropoulou, Silvia Guillén, et al.
Pageof 7