Mathematical and Statistical Applications in Food Engineering

Mathematical and Statistical Applications in Food Engineering PDF

Author: Surajbhan Sevda

Publisher: CRC Press

Published: 2020-01-30

Total Pages: 416

ISBN-13: 0429792522

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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.

Mathematical and Statistical Methods in Food Science and Technology

Mathematical and Statistical Methods in Food Science and Technology PDF

Author: Daniel Granato

Publisher: John Wiley & Sons

Published: 2014-03-03

Total Pages: 540

ISBN-13: 1118433688

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Mathematical and Statistical Approaches in Food Science and Technology offers an accessible guide to applying statistical and mathematical technologies in the food science field whilst also addressing the theoretical foundations. Using clear examples and case-studies by way of practical illustration, the book is more than just a theoretical guide for non-statisticians, and may therefore be used by scientists, students and food industry professionals at different levels and with varying degrees of statistical skill.

Statistics in Food Science and Nutrition

Statistics in Food Science and Nutrition PDF

Author: Are Hugo Pripp

Publisher: Springer Science & Business Media

Published: 2012-09-10

Total Pages: 71

ISBN-13: 1461450098

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Many statistical innovations are linked to applications in food science. For example, the student t-test (a statistical method) was developed to monitor the quality of stout at the Guinness Brewery and multivariate statistical methods are applied widely in the spectroscopic analysis of foods. Nevertheless, statistical methods are most often associated with engineering, mathematics, and the medical sciences, and are rarely thought to be driven by food science. Consequently, there is a dearth of statistical methods aimed specifically at food science, forcing researchers to utilize methods intended for other disciplines. The objective of this Brief will be to highlight the most needed and relevant statistical methods in food science and thus eliminate the need to learn about these methods from other fields. All methods and their applications will be illustrated with examples from research literature. ​

Food Product Design

Food Product Design PDF

Author: Ruguo Hu

Publisher: Routledge

Published: 2017-10-19

Total Pages: 240

ISBN-13: 1351447564

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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.

Statistical Methods for Food Science

Statistical Methods for Food Science PDF

Author: John A. Bower

Publisher: John Wiley & Sons

Published: 2013-06-21

Total Pages: 341

ISBN-13: 1118541626

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The recording and analysis of food data are becoming increasingly sophisticated. Consequently, the food scientist in industry or at study faces the task of using and understanding statistical methods. Statistics is often viewed as a difficult subject and is often avoided because of its complexity and a lack of specific application to the requirements of food science. This situation is changing – there is now much material on multivariate applications for the more advanced reader, but a case exists for a univariate approach aimed at the non-statistician. This second edition of Statistical Methods for Food Science provides a source text on accessible statistical procedures for the food scientist, and is aimed at professionals and students in food laboratories where analytical, instrumental and sensory data are gathered and require some form of summary and analysis before interpretation. It is suitable for the food analyst, the sensory scientist and the product developer, and others who work in food-related disciplines involving consumer survey investigations will also find many sections of use. There is an emphasis on a ‘hands-on’ approach, and worked examples using computer software packages and the minimum of mathematical formulae are included. The book is based on the experience and practice of a scientist engaged for many years in research and teaching of analytical and sensory food science at undergraduate and post-graduate level. This revised and updated second edition is accompanied by a new companion website giving the reader access to the datasets and Excel spreadsheets featured in the book. Check it out now by visiting www.wiley.com/go/bower/statistical or by scanning the QR code below.

Handbook of Food Process Modeling and Statistical Quality Control

Handbook of Food Process Modeling and Statistical Quality Control PDF

Author: Mustafa Ozilgen

Publisher: CRC Press

Published: 1998-09-16

Total Pages: 546

ISBN-13: 9789056991425

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Fundamental techniques of mathematical modeling of processes essential to the food industry are explained in this text. Instead of concentrating on detailed theoretical analysis and mathematical derivations, important mathematical prerequisites are presented in summary tables. Readers' attention is focused on understanding modeling techniques, rather than the finer mathematical points. Topics covered include modeling of transport phenomena, kinetic processes, and food engineering operations. Statistical process analysis and quality control as applied to the food industry are also discussed. The book's main feature is the large number of worked examples presented throughout. Included are examples from almost every conceivable food process, most of which are based on real data given in the many references. Each example is followed by a clear, step- by-step worked solution.

A Glance at Food Processing Applications

A Glance at Food Processing Applications PDF

Author: Isıl Var

Publisher: BoD – Books on Demand

Published: 2022-07-13

Total Pages: 220

ISBN-13: 1839697679

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Food processing is a part of the manufacturing industry. To serve a marketable food product there are several intrinsic and extrinsic parameters to consider that determine the specific processing design of each product. Food production should ensure a safe, environmentally sustainable, and adequate supply of food. This book presents a comprehensive review of food processing applications. Chapters address such topics as the effects of rice bran, corn fiber, and sugarcane bagasse on the quality of baked foods, honey production processes, the potential usage of pectin in food packaging, and agro-industrial wastes for packaging processes, and much more.

Math Concepts for Food Engineering

Math Concepts for Food Engineering PDF

Author: Richard W. Hartel

Publisher: CRC Press

Published: 2008-03-17

Total Pages: 234

ISBN-13: 1420055062

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A Supplement for Food Science & Engineering Students Who Need to Improve Their Mathematical Skills A remedial textbook for understanding mathematical theories and formulas, Math Concepts for Food Engineering, Second Edition helps students improve their mathematical skills so that they can succeed in food engineering cour

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