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.

Dramatically restructured, more than double in size, the second edition of the Food Properties Handbook has been expanded from seven to 24 chapters. In the more than ten years since the publication of the internationally acclaimed and bestselling first edition, many changes have taken place in the approaches used to solve problems in food preservation, processing, storage, marketing, consumption, and even after consumption. Incorporating changes too numerous to list, this updated edition provides new measurement techniques, basic data compiled for diversified food groups, worked-out examples, and detailed graphs and illustrations. Explores Empirical and Theoretical Prediction Models The book clearly defines the terminology and elucidates the theory behind the measurement techniques, including applications and limitations of each method. It includes data on sources of error in measurement techniques and experimental data from the literature in graphical or tabular form. The volume also elucidates empirical and theoretical prediction models for different foods with processing conditions, descriptions of the applications of the properties, and coverage of where and how to use the data and models in food processing. User-Friendly Format Puts the Latest Information within Easy Reach Still under the aegis of Shafir Rahman, the new edition is now an edited volume, benefitting from the input and expertise of numerous contributors spanning both the globe and the many disciplines that influence the field. Presented in a user-friendly format, the second edition remains the definitive, and arguably the only, source for data on physical, thermal, thermodynamic, structural, and acoustic properties of foods.

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.