With the advancement of computers, the use of modeling to reduce time and expense, and improve process optimization, predictive capability, process automation, and control possibilities, is now an integral part of food science and engineering. New technology and ease of use expands the range of techniques that scientists and researchers have at their disposal making it increasingly important for the user to be aware of and have a good working knowledge of the alternatives. Unique in its scope, the Handbook of Food and Bioprocess Modeling Techniques provides a comprehensive overview of the modeling options available to today's researcher. The book covers a wide range of topics including transport processes, reaction kinetics, probabilistic modeling, data mining, neural network and genetic algorithms. Both mesoscale and macroscale modeling are covered. Each chapter is complete with a clear, succinct description of a specific modeling technique, followed by detailed examples of the utilization, application, benefits, and limitations of the technique described. By having both physics-based and observation-based models explained in one place, the researcher can find not only the most appropriate tool or combination of tools for the application, but also those that best suit the technical expertise of the personnel involved. The book emphasizes problem formulation and explains the choice and structure of the modeling technique from an application point of view, making it exceedingly practical and easy-to-use. The international panel of authors and contributors ensures the quality of the individual chapters and the usefulness of the information across wide-ranging food products and processes. An indispensable resource for the full range of contemporary modeling techniques, the Handbook of Food and Bioprocess Modeling Techniques provides food and bioprocess researchers in industry and academia with an invaluable comprehensive working reference.

"Integrates principles of electromagnetics, dielectrics, heat and moisture transfer, packaging, solid mechanics, fluid flow, food chemistry, and microbiology to provide a comprehensive overview of microwave processing in a single accessible source."

This substantially revised text represents a broader based biological engineering title. It includes medicine and other applications that are desired in curricula supported by the American Society of Agricultural and Biological Engineers, as well as many bioengineering departments in both U.S. and worldwide departments. This new edition will focus on a significant number of biological applications, problem-solving techniques, and solved examples. Specifically there will be 160+ interesting application problems over an entended biological base (biomedical, bioenvironmental, etc.) that were originally developed by the author throughout his 13 years of teaching this course at Cornell.

With the advancement of computers, the use of modeling to reduce time and expense, and improve process optimization, predictive capability, process automation, and control possibilities, is now an integral part of food science and engineering. New technology and ease of use expands the range of techniques that scientists and researchers have at their disposal making it increasingly important for the user to be aware of and have a good working knowledge of the alternatives.

Unique in its scope, the Handbook of Food and Bioprocess Modeling Techniques provides a comprehensive overview of the modeling options available to today's researcher. The book covers a wide range of topics including transport processes, reaction kinetics, probabilistic modeling, data mining, neural network and genetic algorithms. Both mesoscale and macroscale modeling are covered. Each chapter is complete with a clear, succinct description of a specific modeling technique, followed by detailed examples of the utilization, application, benefits, and limitations of the technique described. By having both physics-based and observation-based models explained in one place, the researcher can find not only the most appropriate tool or combination of tools for the application, but also those that best suit the technical expertise of the personnel involved. The book emphasizes problem formulation and explains the choice and structure of the modeling technique from an application point of view, making it exceedingly practical and easy-to-use. The international panel of authors and contributors ensures the quality of the individual chapters and the usefulness of the information across wide-ranging food products andprocesses.

An indispensable resource for the full range of contemporary modeling techniques, the Handbook of Food and Bioprocess Modeling Techniques provides food and bioprocess researchers in industry and academia with an invaluable comprehensive working reference.

It has been nearly a decade since the third edition of Engineering Properties of Foods was published, and food structure/microstructure remains a subject of research interest. In fact, significant developments have taken place in the area of high pressure processing (HPP), which has been approved for pasteurization of food by the Food and Drug Administration. Kinetic data related to HPP have proven important for validation of pressure-assisted pasteurization. Due to these developments, three new chapters have been added to the Fourth Edition: Food Microstructure Analysis Glass Transition in Foods Kinetics and Process Design for High-Pressure Processing The text focuses on elucidating the engineering aspects of food properties and their variations, supplemented by representative data. Chapters have been updated and revised to include recent developments. The book presents data on physical, chemical, and biological properties, illustrating their relevance and practical importance. The topics range from surface properties, rheological properties, and thermal properties to thermodynamic, dielectric, and gas exchange properties. The chapters follow a consistent format for ease of use. Each chapter contains an introduction, food property definition, measurement procedure, modeling, representative data compilation, and applications.