Partners Donors Advisory Group Scientific Group

The data and models that underpin ComBase are the result of the generous time and support provided of numerous individuals, companies, and organisations.

Partners

Donors

Coca ColaPlatinum sponsor

UnileverPlatinum sponsor

AFFIGold sponsor

Advisory Group

IZSLER

Dr Paolo Daminelli, Veterinary Medical Officer

FDA  Dr Sherri Dennis, Senior Advisor for Science and Research
Nestle  Dr Mariem Ellouze, Food Safety Microbiology
Unilever  Dr Leon Gorris, Director for Regulatory Affairs
USDA  Dr Janell Kause, Scientific Advisor for Risk Assessment
Rutgers University  Dr Donald W Schaffner, Distinguished Professor

Scientific Group

Alejandro Amezquita  Unilever
Aline Metris Unilever
Anderson de Souza Sant'Ana Faculty of Food Engineering, University of Campinas
Andrea Moreno University Andreas Bello
Bruno Carciofi Federal University of Santa Catarina
Carmen Pin Astra Zeneca
Daniel Marin Hervías ComBase
Dennis L. Seman University of Wisconsin; DL Seman Consulting, LLC
Elena Cosciani Cunico Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia Romagna
Greg Paoli Risk Sciences International
Indauê Mello The Coca-Cola Company
Jianghui Zhu China National Centre For Food Safety Risk Assessment
Joelle K Salazar US FDA
Jozsef Baranyi Institute of Nutrition, University of Debrecen
Kang Zhou Sichuan Agricultural University
Karina Martino Grocery Manufacturers Association
Koutsoumanis Kostas Aristotle University of Thessaloniki
Mariem Ellouze Nestle
Matthias Filter Federal Institute for Risk Assessment (BfR)
Mauricio Redondo Solano University of Costa Rica
Montserrat Hernández-Iturriaga Autonomous University of Queretaro
Pradeep Malakar Fonterra
Sara Bover Cid IRTA
Tim Mohr USDA-FSIS
Vijay Juneja USDA-ARS
Viviana Cachicas Instituto de Salud Pública de Chile, Sección Microbiología de Alimentos
Yuhuan Chen US FDA

 

 

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The ComBase Browser enables you to search thousands of microbial growth and survival curves that have been collated in research establishments and from publications

The ComBase Predictive Models are a collection of software tools based on ComBase data to predict the growth or inactivation of microorganisms

 

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