1.

Record Nr.

UNINA9910132212703321

Titolo

Novel techniques in sensory characterization and consumer profiling / / edited by Paula Varela, Gaston Ares

Pubbl/distr/stampa

Boca Raton, FL : , : CRC Press, , [2014]

©2014

ISBN

1-04-005571-0

0-429-07014-4

1-138-03427-4

1-4665-6630-2

Edizione

[1st ed.]

Descrizione fisica

1 online resource (408 p.)

Classificazione

TEC012000

Disciplina

664.072

664/.072

Soggetti

Food - Sensory evaluation

Sensory evaluation

New products

Marketing research

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

Front Cover; Contents; Preface; Acknowledgments; Editors; Contributors; Chapter 1: Introduction; Chapter 2: Classical Descriptive Analysis; Chapter 3: Introduction to Multivariate Statistical Techniques for Sensory Characterization; Chapter 4: Ideal Profiling; Chapter 5: Use of Just-About-Right Scales in Consumer Research; Chapter 6: Free-Choice Profile Combined with Repertory Grid Method; Chapter 7: Flash Profile; Chapter 8: Free Sorting Task; Chapter 9: Projective Mapping and Napping; Chapter 10: Polarized Sensory Positioning Methodologies; Chapter 11: Check-All-That-Apply Questions

Chapter 12: Open-Ended QuestionsChapter 13: Dynamic Sensory Descriptive Methodologies : Time-Intensity and Temporal Dominance of Sensations; Chapter 14: Comparison of Novel Methodologies for Sensory Characterization; Back Cover

Sommario/riassunto

Sensory characterization is one of the most powerful, sophisticated and



extensively applied tools in sensory science. This book focuses on sensory characterization of food and non-food products, providing an overview of classical and novel alternative methodologies. A complete description of the methodologies would be provided. Each description would be accompanied by detailed information for their implementation, discussion of examples of applications and case-studies. The implementation of the majority of the methodologies would be performed in the statistical free software R, which would make the book very useful for people non-familiar with complex statistical software--