Microbial Growth Models
Modeling has become an important and efficient tool to predict microbial behavior in food safety and engineering. Foodborne pathogen infections, leading to foodborne illnesses and significant economic losses, are closely associated with public human healt
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Ali Demirci Hao Feng Kathiravan Krishnamurthy Editors
Food Safety Engineering
Food Engineering Series Series Editor Gustavo V. Barbosa-Cánovas, Washington State University, USA Advisory Board José Miguel Aguilera, Catholic University, Chile Kezban Candoğan, Ankara University, Turkey Richard W. Hartel, University of Wisconsin, USA Albert Ibarz, University of Lleida, Spain Micha Peleg, University of Massachusetts, USA Shafiur Rahman, Sultan Qaboos University, Oman M. Anandha Rao, Cornell University, USA Yrjö Roos, University College Cork, Ireland Jorge Welti-Chanes, Monterrey Institute of Technology, Mexico
Springe’s Food Engineering Series is essential to the Food Engineering profession, providing exceptional texts in areas that are necessary for the understanding and development of this constantly evolving discipline. The titles are primarily reference-oriented, targeted to a wide audience including food, mechanical, chemical, and electrical engineers, as well as food scientists and technologists working in the food industry, academia, regulatory industry, or in the design of food manufacturing plants or specialized equipment.
More information about this series at http://www.springer.com/series/5996
Ali Demirci • Hao Feng Kathiravan Krishnamurthy Editors
Food Safety Engineering
Editors Ali Demirci Department of Agricultural and Biological Engineering Pennsylvania State University University Park, PA, USA
Hao Feng Department of Food Science and Human Nutrition University of Illinois Urbana-Champaign Urbana, IL, USA
Kathiravan Krishnamurthy Department of Food Science and Nutrition Institute for Food Safety and Health Illinois Institute of Technology Chicago, IL, USA
ISSN 1571-0297 Food Engineering Series ISBN 978-3-030-42659-0 ISBN 978-3-030-42660-6 https://doi.org/10.1007/978-3-030-42660-6
(eBook)
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