Here is a rich resource on recent research innovations in the field of food processing and food engineering. Chapters are written by eminent researchers in the field of food science and provide in-depth knowledge on the application of engineering aspects in food processing, food packaging, food quality, and food safety. The book looks at the latest nanotechnology aspects for the detection of foodborne pathogens to ensure safety with respect to these pathogens. It provides detailed kinetics of quality and safety aspects of food and goes on to discuss the characteristics of edible films prepared from plasticized guar gum. Other topics include the production of novel biomolecules and their characterization, the microstructural properties of arabionoxylan aerogels, the antioxidant activity of oats harvested from draught areas, the effect of quercetin isolated from Enicostemma littorale against cancer targets, the latest trends in production of ethanol and fructo-oligosachharides, and much more.

This volume details a wide range of consumer research methods from different disciplines with an application to food and beverages. Each chapter is written by well-known researchers in the field that guides the reader on a specific method in applied consumer research. Chapters are separated by disciplines, detail brief theoretical background, provide a clear examples of the methodology, anthropology, history, linguistics, and visual arts, culinary arts, design, and user experience are also approached. The separation of methods through disciplines gives a better structure to the reader when trying to apply each method. Authoritative and cutting-edge, Consumer Research Methods in Food Science detail clear steps and a framework to reproduce consumer research methods in different applications.

Statistical Methods in Food and Consumer Research, Second Edition, continues to be the only book to focus solely on the statistical techniques used in sensory testing of foods, pharmaceuticals, cosmetics, and other consumer products. This new edition includes the most recent applications of statistical methods, and features significant updates as well as two new chapters. Covering the application of techniques including R-index, the Bayesian approach for sensory differences tests, and preference mapping in addition to several other methodologies, this is the comprehensive reference needed by those studying sensory evaluation and applied statistics in agriculture and biological sciences. Research professionals working with food, beverages, healthcare, cosmetics, and other related areas will find the book a valuable guide to the variety of statistical methods available. Provides comprehensive coverage of statistical techniques in sensory testing Includes data compiled from real-world experiments Covers the latest in data interpretation and analysis Addresses key methods such as R-index, Thursonian Discriminal Distances, group sequential tests, beta-binomial tests, sensory difference and similarity tests, just-about-right data, signal-to-noise ratio, analysis of cosmetic data, Descriptive Analysis, claims substantiation and preference mapping

This book offers the first methodological synthesis of digital food studies. It brings together contributions from leading scholars in food and media studies and explores research methods from textual analysis to digital ethnography and action research. In recent times, digital media has transformed our relationship with food which has become one of the central topics in digital and social media. This spatiotemporal shift in food cultures has led us to reimagine how we engage in different practices related to food as consumers. The book examines the opportunities and challenges that the new digital era of food studies presents and what methodologies are employed to study the changed dynamics in this field. These methodologies provide insights into how restaurant reviews, celebrity webpages, the blogosphere and YouTube are explored, as well as how to analyse digital archives, digital soundscapes and digital food activism and a series of approaches to digital ethnography in food studies. The book presents straightforward ideas and suggestions for how to get started on one’s own research in the field through well-structured chapters that include several pedagogical features. Written in an accessible style, the book will serve as a vital point of reference for both experienced researchers and beginners in the digital food studies field, health studies, leisure studies, anthropology, sociology, food sciences, and media and communication studies.

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.

This textbook presents the scientific basis for understanding the nature of food and the principles of experimental methodology as applied to food. It reviews recent research findings and specific technological advances related to food. Taking an experimental approach, exercises are included at the end of each chapter to provide the needed experience in planning experiments. Emphasizing the relationships between chemical and physical properties, basic formulas and procedures are included in the appendix. Demonstrates the relationships among composition, structure, physical properties, and functional performance in foods Suggested exercises at the end of each chapter provide students with needed experience in designing experiments Extensive bibliographies of food science literature Appendix of basic formulas and procedures

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 book 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.