Mathematical And Statistical Applications In Food Engineering
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Mathematical and Statistical Applications in Food Engineering
Several books have been written about the application of mathematical and statistical tools in food engineering, but very few books are actually focused or cover the topic in depth. These tools are essential in food engineering. Mathematical techniques have been used in process analysis, design and optimization from an empirical to a scientific and model-based approach. This book is a source of information on mathematical and statistical methods that can be applied in food engineering. The use of these techniques is also illustrated through case studies, which will make it easier for researcher in terms of development of alternative processes and their optimization in food engineering and technology. With contributions from leading academics and scientists from all over the world, this book focuses on new areas of mathematical and statistical method for food engineering to help meet the increasing food demand. The book is easy to use. It will help researchers and students to overcome their apathy in using these tools, and to appreciate the usefulness of analytical tools. The book provides valuable resources for students, researchers, teachers and professionals of food engineering. Key features: Provides detailed descriptions on engineering/ design/ modeling/ evaluation aspects of food engineering, from preparation to production to processing to consumption. Presents cutting-ege mathematical and statistical methods used for research in food engineering. Serves as an essential reference on the fundamental concepts of mathematical and statistical applications associated with food engineering. Combines theory with a practical exercise-driven approach, making it accessible to professionals with varying degrees of statistical skill
Mathematical and Statistical Applications in Food Engineering
Written by experts from all over the world, the book comprises the latest applications of mathematical and models in food engineering and fermentation. It provides the fundamentals on statistical methods to solve standard problems associated with food engineering and fermentation technology. Combining theory with a practical, hands-on approach, this book covers key aspects of food engineering. Presenting cuttingedge information, the book is an essential reference on the fundamental concepts associated with food engineering.
Food Product Design
Statistical experimental design is currently used as a quality control technique to achieve product excellence at the lowest overall cost. It can also function as a powerful tool to optimize food products and/or processes, to accelerate food development cycles, reduce research costs, facilitate the transition of products from research and development to manufacturing and troubleshoot manufacturing problems. Food Product Design: A Computer-Aided Statistical Approach familiarizes readers with the methodology of statistical experimental design, and its application in food product design, with the aid of commonly available modern commercial software. Food Product Design presents basic concepts of food product design, then focuses on the most effective statistical techniques and corresponding computer applications for trial design, modeling, and experimental data analysis. The book presents very few theories about mathematics and statistics. Instead, it contains detailed descriptions of how to use popular computer software to solve the real mathematical and statistical problems that occur in product design. Even those with very limited knowledge of statistics and mathematics will find this a useful and highly practical book. Food Product Design: A Computer-Aided Statistical Approach will be a valuable tool for professional food engineers, technologists, scientists, and industrial personnel who want to update and expand their knowledge about computer-aided statistical methods in the field of food product design. Those involved in applied research at universities in food and agriculture, biological and chemical engineering, and statistics will also find it useful and informative.