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.
Individual Differences in Sensory and Consumer Science: Experimentation, Analysis and Interpretation presents easily readable, state-of-the-art coverage on how to plan and execute experiments that give rise to individual differences, also providing the framework for successful analysis and interpretation of results. The book highlights the different methodologies that can be applied and how to select the correct methodology based on the type of study you are performing, be it product research and development, quality control or consumer acceptance studies. Written by an experienced team of statisticians and sensory and consumer scientists, the book provides both academics and industry professionals with the first complete overview of a topic of ever-increasing importance. Identifies how to plan and execute experiments in sensory and consumer science Analyzes and interprets individual variances in sensory and consumer research Differentiates best practices for examining product development, quality control and consumer acceptance
Now in its sixth printing, this book is a must-have tool for professionals in product testing, consumer research, and advertising claims support. It contains our most significant and useful technical reports from the last 20 years. Readers will easily relate to the problems and solutions in each 2-page scenario. And for deeper study, the reader will find a list of published papers on a variety of related subjects. Drs. Daniel Ennis, Benoît Rousseau and John Ennis use their combined expertise to guide readers through problems in areas such as: Difference Tests Rating and Rankings Claims Support Drivers of Liking® and Landscape Segmentation Analysis® (LSA) Optimizing Product Portfolios Probabilistic Multidimensional Scaling Combinatorial Tools Designing Tests and Surveys The technical content behind each scenario has been kept to a minimum so that ideas can be absorbed easily, but there is plenty of opportunity to pursue each account in more detail. Examples range from dairy products to beverages and fragrance products and are designed to appeal to a broad audience in the product research field. 27 tables for product testing methods have been included so the reader can interpret results from discrimination methodologies such as the tetrad test, the triangle test, the same-different method, the duo-trio test, replicated testing, and others. 186 pages, $95, plus shipping and 5.3% VA sales tax, where applicable for print copy. To order print copies of this book, please call (804) 675-2980 or visit www.ifpress.com.
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 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.
The olive oil market is increasingly international. Levels ofconsumption and production are growing, particularly in“new” markets outside the Mediterranean region. Newfeatures of product optimization and development are emerging, andalong with them new marketing strategies, which benefit from aclear understanding of the sensory aspects of foods, as well asadequate sensory techniques for testing them. Recently developedsensory methods and approaches are particularly suitable for studying thesensory properties of olive oils and their function in culinarypreparation or in oil-food pairing. Each chapter of Olive Oil Sensory Science is written bythe best researchers and industry professionals in the fieldthroughout the world. The book is divided into two main sections.The first section details the appropriate sensory methods for oliveoil optimization, product development, consumer testing and qualitycontrol. The intrinsic factors affecting olive oil qualityperception are considered, as well as the nutritional, health andsensory properties, underlining the importance of sensorytechniques in product differentiation. The agronomic andtechnological aspects of production that affect sensory propertiesand their occurrence in olive oil are also addressed. Sensoryperception and other factors affecting consumer choice arediscussed, as is the topic of olive oil sensory quality. The secondpart of this text highlights the major olive oil producing regionsof the world: Spain, Italy, Greece, California, Australia/New Zealand andSouth America. Each chapter is dedicated to a region, looking atthe geographical and climactic characteristics pertinent to oliveoil production, the major regional olive cultivars, the principleolive oil styles and their attendant sensory properties. Olive Oil Sensory Science is an invaluable resource forolive oil scientists, product development and marketing personnelon the role of sensory evaluation in relation to current and futuremarket trends.
Methods for Consumer Research, Volume One: New Approaches to Classic Methods brings together world leading experts in global consumer research who provide a fully comprehensive state-of-the-art coverage of advances in the classical methods of consumer science. The book touches on the latest developments in qualitative techniques, including coverage of both focus groups and social media, while also focusing on liking, a fundamental principle of consumer science, consumer segmentation, and the influence of extrinsic product characteristics, such as packaging and presentation on consumer liking. In conjunction with the second volume, which covers alternative approaches and special applications, this book is an invaluable reference for academics working in the fields of in-sensory and consumer science, psychology, marketing and nutrition. And, with examples of the methodology being applied throughout, it serves as a practical guide to research and development managers in both food and non-food companies. Presents a fully comprehensive coverage of the latest developments in the classical methodologies of consumer research Provides examples of successful application of the methodologies presented Includes focus groups and social media discussions Encompasses consumer segmentation, with a focus on psychographics and genetics
Multiblock Data Fusion in Statistics and Machine Learning Explore the advantages and shortcomings of various forms of multiblock analysis, and the relationships between them, with this expert guide Arising out of fusion problems that exist in a variety of fields in the natural and life sciences, the methods available to fuse multiple data sets have expanded dramatically in recent years. Older methods, rooted in psychometrics and chemometrics, also exist. Multiblock Data Fusion in Statistics and Machine Learning: Applications in the Natural and Life Sciences is a detailed overview of all relevant multiblock data analysis methods for fusing multiple data sets. It focuses on methods based on components and latent variables, including both well-known and lesser-known methods with potential applications in different types of problems. Many of the included methods are illustrated by practical examples and are accompanied by a freely available R-package. The distinguished authors have created an accessible and useful guide to help readers fuse data, develop new data fusion models, discover how the involved algorithms and models work, and understand the advantages and shortcomings of various approaches. This book includes: A thorough introduction to the different options available for the fusion of multiple data sets, including methods originating in psychometrics and chemometrics Practical discussions of well-known and lesser-known methods with applications in a wide variety of data problems Included, functional R-code for the application of many of the discussed methods Perfect for graduate students studying data analysis in the context of the natural and life sciences, including bioinformatics, sensometrics, and chemometrics, Multiblock Data Fusion in Statistics and Machine Learning: Applications in the Natural and Life Sciences is also an indispensable resource for developers and users of the results of multiblock methods.
Sensory evaluation is a scientific discipline used to evoke,measure, analyse and interpret responses to products perceivedthrough the senses of sight, smell, touch, taste and hearing. It isused to reveal insights into the way in which sensory propertiesdrive consumer acceptance and behaviour, and to design productsthat best deliver what the consumer wants. It is also used ata more fundamental level to provide a wider understanding of themechanisms involved in sensory perception and consumer behaviour. Quantitative Sensory Analysis is an in-depth and uniquetreatment of the quantitative basis of sensory testing, enablingscientists in the food, cosmetics and personal care productindustries to gain objective insights into consumer preference data– vital for informed new product development. Written by a globally-recognised learer in the field, this book issuitable for industrial sensory evaluation practitioners, sensoryscientists, advanced undergraduate and graduate students in sensoryevaluation and sensometricians.
Covering all aspects of sensory panel management, this volume describes the different types of sensory panels (for example panels for quality control, descriptive analysis and discrimination tests), discusses the issues involved with sensory testing, and gives detailed information about sensory panel recruitment, training and on-going management. Sensory Panel Management gives both theoretical and practical information from deciding what type of panel to recruit and how to conduct panel training, to creating the best sensory team and how to deal with any issues. Downloads of several of the documents included in the book are available from http://www.laurenlrogers.com/sensory-panel-management.html The book is divided into three main sections. The first section looks at the recruitment of sensory panels, covering the process from both a scientific and a human resources angle. The second section deals with the training of a sensory panel. Initial training, as well as method and product specific training is covered. Example session plans for running panel sessions for quality control, discrimination tests, descriptive profiling, temporal methods and consumer tests are included within the specific chapters. Refresher and advanced training such as training panelists to take part in gas chromatography-olfactometry are also included. The third section examines the performance of sensory panels. Chapters within this section explore performance measures and ways of preventing (and dealing with) difficult situations relating to panellists. A final chapter looks at the future of sensory panels. Throughout the book there are short case study examples demonstrating the practical application of the methods being discussed. Sensory Panel Management is a key reference for academics, technical and sensory staff in food companies. Lauren Rogers is an independent sensory science consultant in the UK with more than twenty years of practical experience. She has worked on a wide variety of projects, including shelf life studies, product and flavor optimization, new flavor development and in-depth brand analyses. She is a member of the Society of Sensory Professionals, the Institute of Food Science and Technology’s Sensory Science Group, the Sensometric Society and is also a member of the ASTM Sensory Evaluation Committee (E18). Discusses sensory panels for testing food and non-food based products Covers best practices for recruitment, selection and training of panels Provides examples of training plans for sensory panels Encompasses experimental design and data analysis of panel results Organized in modular format for practical uses
According to European legislation, extra virgin is the top grade of olive oils. It has a superior level of health properties and flavour compared to virgin and refined olive oils. Mediterranean countries still produce more than 85% of olive oil globally, but the constant increase of demand for extra virgin olive oil has led to new cultivation and production in other areas of the world, including California, Australia, China, South Africa and South America. At the same time, olive oil’s sensory properties and health benefits are increasingly attracting the attention and interest of nutritionists, food processors, manufacturers and food services. Progress and innovation in olive cultivation, harvesting and milling technologies as well as in oil handling, storage and selling conditions make it possible to achieve even higher quality levels than those stipulated for extra virgin oils. As a consequence, a new segment – excellent extra virgin olive oils – is increasingly attracting the attention of the market and earning consumers’ preference. The Extra-Virgin Olive Oil Handbook provides a complete account of olive oil’s composition, health properties, quality, and the legal standards surrounding its production. The book is divided into convenient sections focusing on extra virgin olive oil as a product, the process by which it is made, and the process control system through which its quality is assured. An appendix presents a series of tables and graphs with useful data, including conversion factors, and the chemical and physical characteristics of olive oil. This book is aimed at people involved in the industrial production as well as in the marketing and use of extra virgin olive oil who are looking for practical information, which avoids overly academic language, but which is still scientifically and technically sound. The main purpose of the handbook is to guide operators involved in the extra virgin olive oil chain in making the most appropriate decisions about product quality and operating conditions in the production and distribution processes. To these groups, the most important questions are practical ones of why, how, how often, how much will it cost, and so on. The Extra-Virgin Olive Oil Handbook will provide the right answers to these key practical considerations, in a simple, clear yet precise and up-to-date way.
