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Multivariate Analysis Of Data In Sensory Science

Author: T. Naes
Publisher: Elsevier
ISBN: 9780080537160
Size: 78.39 MB
Format: PDF, Kindle
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The state-of-the-art of multivariate analysis in sensory science is described in this volume. Both methods for aggregated and individual sensory profiles are discussed. Processes and results are presented in such a way that they can be understood not only by statisticians but also by experienced sensory panel leaders and users of sensory analysis. The techniques presented are focused on examples and interpretation rather than on the technical aspects, with an emphasis on new and important methods which are possibly not so well known to scientists in the field. Important features of the book are discussions on the relationship among the methods with a strong accent on the connection between problems and methods. All procedures presented are described in relation to sensory data and not as completely general statistical techniques. Sensory scientists, applied statisticians, chemometricians, those working in consumer science, food scientists and agronomers will find this book of value.

Statistics For Sensory And Consumer Science

Author: Tormod Næs
Publisher: John Wiley & Sons
ISBN: 1119957249
Size: 33.17 MB
Format: PDF, Docs
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As we move further into the 21st Century, sensory and consumer studies continue to develop, playing an important role in food science and industry. These studies are crucial for understanding the relation between food properties on one side and human liking and buying behaviour on the other. This book by a group of established scientists gives a comprehensive, up-to-date overview of the most common statistical methods for handling data from both trained sensory panels and consumer studies of food. It presents the topic in two distinct sections: problem-orientated (Part I) and method orientated (Part II), making it to appropriate for people at different levels with respect to their statistical skills. This book succesfully: Makes a clear distinction between studies using a trained sensory panel and studies using consumers. Concentrates on experimental studies with focus on how sensory assessors or consumers perceive and assess various product properties. Focuses on relationships between methods and techniques and on considering all of them as special cases of more general statistical methodologies It is assumed that the reader has a basic knowledge of statistics and the most important data collection methods within sensory and consumer science. This text is aimed at food scientists and food engineers working in research and industry, as well as food science students at master and PhD level. In addition, applied statisticians with special interest in food science will also find relevant information within the book.

Science And Technology Of Fruit Wine Production

Author: Maria Kosseva
Publisher: Academic Press
ISBN: 0128010347
Size: 65.28 MB
Format: PDF
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Science and Technology of Fruit Wine Production includes introductory chapters on the production of wine from fruits other than grapes, including their composition, chemistry, role, quality of raw material, medicinal values, quality factors, bioreactor technology, production, optimization, standardization, preservation, and evaluation of different wines, specialty wines, and brandies. Wine and its related products have been consumed since ancient times, not only for stimulatory and healthful properties, but also as an important adjunct to the human diet by increasing satisfaction and contributing to the relaxation necessary for proper digestion and absorption of food. Most wines are produced from grapes throughout the world, however, fruits other than grapes, including apple, plum, peach, pear, berries, cherries, currants, apricot, and many others can also be profitably utilized in the production of wines. The major problems in wine production, however, arise from the difficulty in extracting the sugar from the pulp of some of the fruits, or finding that the juices obtained lack in the requisite sugar contents, have higher acidity, more anthocyanins, or have poor fermentability. The book demonstrates that the application of enzymes in juice extraction, bioreactor technology, and biological de-acidification (MLF bacteria, or de-acidifying yeast like schizosaccharomyces pombe, and others) in wine production from non-grape fruits needs serious consideration. Focuses on producing non-grape wines, highlighting their flavor, taste, and other quality attributes, including their antioxidant properties Provides a single-volume resource that consolidates the research findings and developed technology employed to make wines from non-grape fruits Explores options for reducing post-harvest losses, which are especially high in developing countries Stimulates research and development efforts in non-grape wines

Brewing

Author: C Bamforth
Publisher: Woodhead Publishing
ISBN: 1845691733
Size: 69.67 MB
Format: PDF
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Brewing continues to be one of the most competitive and innovative sectors in the food and drink industry. This important book summarises the major recent technological changes in brewing and their impact on product range and quality. The first group of chapters review improvements in ingredients, including cereals, adjuncts, malt and hops, as well as ways of optimising the use of water. The following sequence of chapters discuss developments in particular technologies from fermentation and accelerated processing to filtration and stabilisation processes as well as packaging. A final series of chapters analyse improvements in safety and quality control, covering such topics as modern brewery sanitation, waste handling, quality assurance schemes, and control systems responsible for chemical, microbiological and sensory analysis. With its distinguished editor and international team of contributors, Brewing: new technologies is a standard reference for R&D and Quality Assurance managers in the brewing industry. Summarises the major recent technological changes in brewing Reviews improvements in ingredients including cereals, malts and hops Discusses developments in fermentation, filtration and packaging technologies

Scientific Data Ranking Methods

Author:
Publisher: Elsevier
ISBN: 9780080931937
Size: 76.67 MB
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This volume presents the basic mathematics of ranking methods through a didactic approach and the integration of relevant applications. Ranking methods can be applied in several different fields, including decision support, toxicology, environmental problems, proteomics and genomics, analytical chemistry, food chemistry, and QSAR. . Covers a wide range of applications, from the environment and toxicology to DNA sequencing . Incorporates contributions from renowned experts in the field . Meets the increasing demand for literature concerned with ranking methods and their applications

Multivariate And Probabilistic Analyses Of Sensory Science Problems

Author: Jean-François Meullenet
Publisher: John Wiley & Sons
ISBN: 0470276312
Size: 59.23 MB
Format: PDF, ePub
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Sensory scientists are often faced with making business decisions based on the results of complex sensory tests involving a multitude of variables. Multivariate and Probabilistic Analyses of Sensory Science Problems explains the multivariate and probabilistic methods available to sensory scientists involved in product development or maintenance. The techniques discussed address sensory problems such as panel performance, product profiling, and exploration of consumer data, including segmentation and identifying drivers of liking. Applied in approach and written for non-statisticians, the text is aimed at sensory scientists who deal mostly with descriptive analysis and consumer studies. Multivariate and Probabilistic Analyses of Sensory Science Problems offers simple, easy-to-understand explanations of difficult statistical concepts and provides an extensive list of case studies with step-by-step instructions for performing analyses and interpreting the results. Coverage includes a refresher on basic multivariate statistical concepts; use of common data sets throughout the text; summary tables presenting the pros and cons of specific methods and the conclusions that may be drawn from using various methods; and sample program codes to perform the analyses and sample outputs. As the latest member of the IFT Press series, Multivariate and Probabilistic Analyses of Sensory Science Problems will be welcomed by sensory scientists in the food industry and other industries using similar testing methodologies, as well as by faculty teaching advanced sensory courses, and professionals conducting and participating in workshops addressing multivariate analysis of sensory and consumer data.

Multivariate Analysis Of Quality

Author: Harald Martens
Publisher: John Wiley & Sons
ISBN: 9780471974284
Size: 18.90 MB
Format: PDF, ePub
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Data analysis is a vital part of science today, and in assessingquality, multivariate analysis is often necessary in order to avoidloss of essential information. Martens provides a powerful andversatile methodology that enables researchers to design theirinvestigations and analyse data effectively and safely, without theneed for formal statistical training. * Offers an introductory explanation of multivariate analysis bygraphical 'soft modelling' * Minimises mathematics, providing all technical details in theappendix * Presents itself in an accessible style with cartoons,self-assessment questions and a wide range of practicalexamples * Demonstrates the methodology for various types of qualityassessment, ranging from human quality perception via industrialquality monitoring to environmental quality and its molecularbasis All data sets available FREE online on "Chemometrics World"(http://www.wiley.co.uk/wileychi/chemometrics)

Statistics In Food Science And Nutrition

Author: Are Hugo Pripp
Publisher: Springer Science & Business Media
ISBN: 1461450101
Size: 19.62 MB
Format: PDF, Mobi
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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. ​

Multivariate Data Analysis In Sensory And Consumer Science

Author: Garmt B. Dijksterhuis
Publisher: John Wiley & Sons
ISBN: 0470384832
Size: 75.94 MB
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This book is an outgrowth of research done by Dr. Gamt Dijsterhuis for his doctoral thesis at the University of Leiden. However, there are also contributions by several other authors, as well, including Eeke van der Burg, John Gower, Pieter Punter, Els van den Broek, and Margo Flipsen. This book discusses the use of Multivariate Data Analysis to solve problems in sensory and consumer research. More specifically the focus is on the analysis of the reactions to certain characteristics of food products, which are in the form of scores given to attributes perceived in the food stimuli; the analyses are multivariate; and the senses are mainly the senses of smell and taste. The four main themes covered in the book are: (1) Individual Differences, (2) Measurement Levels; (3) Sensory-Instrumental Relations, and (4) Time-Intensity Data Analysis. The statistical methods discussed include Principle Components Analysis, Generalized Procrustes Analysis, Multidimensional Scaling, Redundancy Analysis, and Canonical Analysis. This book will be a value to all professionals and students working in the sensory studies

Mathematical And Statistical Methods In Food Science And Technology

Author: Daniel Granato
Publisher: John Wiley & Sons
ISBN: 1118433688
Size: 60.21 MB
Format: PDF, ePub, Docs
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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.