Research Methodology in Food Sciences

Research Methodology in Food Sciences PDF Author: C. O. Mohan
Publisher: CRC Press
ISBN: 1351627465
Category : Science
Languages : en
Pages : 376

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Book Description
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.

Research Methodology in Food Sciences

Research Methodology in Food Sciences PDF Author: C. O. Mohan
Publisher: CRC Press
ISBN: 1351627465
Category : Science
Languages : en
Pages : 376

Get Book Here

Book Description
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.

Analysis in Nutrition Research

Analysis in Nutrition Research PDF Author: George Pounis
Publisher: Academic Press
ISBN: 0128145579
Category : Technology & Engineering
Languages : en
Pages : 416

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Book Description
Analysis in Nutrition Research: Principles of Statistical Methodology and Interpretation of the Results describes, in a comprehensive manner, the methodologies of quantitative analysis of data originating specifically from nutrition studies. The book summarizes various study designs in nutrition research, research hypotheses, the proper management of dietary data, and analytical methodologies, with a specific focus on how to interpret the results of any given study. In addition, it provides a comprehensive overview of the methodologies used in study design and the management and analysis of collected data, paying particular attention to all of the available, modern methodologies and techniques. Users will find an overview of the recent challenges and debates in the field of nutrition research that will define major research hypotheses for research in the next ten years. Nutrition scientists, researchers and undergraduate and postgraduate students will benefit from this thorough publication on the topic. - Provides a comprehensive presentation of the various study designs applied in nutrition research - Contains a parallel description of statistical methodologies used for each study design - Presents data management methodologies used specifically in nutrition research - Describes methodologies using both a theoretical and applied approach - Illustrates modern techniques in dietary pattern analysis - Summarizes current topics in the field of nutrition research that will define major research hypotheses for research in the next ten years

Research Methods in Digital Food Studies

Research Methods in Digital Food Studies PDF Author: Jonatan Leer
Publisher: Routledge
ISBN: 1000364305
Category : Business & Economics
Languages : en
Pages : 239

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Book Description
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.

Statistical Methods in Food and Consumer Research

Statistical Methods in Food and Consumer Research PDF Author: Maximo C. Gacula Jr.
Publisher: Academic Press
ISBN: 0080920330
Category : Technology & Engineering
Languages : en
Pages : 868

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Book Description
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

Food Science

Food Science PDF Author: Edelstein
Publisher: Jones & Bartlett Learning
ISBN: 1284122301
Category : Family & Relationships
Languages : en
Pages : 705

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Book Description
The science of food is discussed within the broader context of the world’s food supply. Food Science, An Ecological Approach explores the idea of global sustainability and examines the ecological problems that challenge our food supply and raise increasing concerns among consumers.

Statistical Methods for Food Science

Statistical Methods for Food Science PDF Author: John A. Bower
Publisher: John Wiley & Sons
ISBN: 9781444320954
Category : Technology & Engineering
Languages : en
Pages : 320

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Book Description
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.

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
ISBN: 1118433688
Category : Technology & Engineering
Languages : en
Pages : 540

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Book Description
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.

Statistical Methods for Food Science

Statistical Methods for Food Science PDF Author: John A. Bower
Publisher: John Wiley & Sons
ISBN: 1118541626
Category : Technology & Engineering
Languages : en
Pages : 341

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Book Description
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.

Experimental Food Science

Experimental Food Science PDF Author:
Publisher: Academic Press
ISBN: 0323140041
Category : Technology & Engineering
Languages : en
Pages : 558

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Book Description
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

Statistics in Food Science and Nutrition

Statistics in Food Science and Nutrition PDF Author: Are Hugo Pripp
Publisher: Springer Science & Business Media
ISBN: 1461450098
Category : Technology & Engineering
Languages : en
Pages : 71

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Book Description
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. ​