Document Detail

Quantification of sensory and food quality: the R-index analysis.
MedLine Citation:
PMID:  19723222     Owner:  NLM     Status:  MEDLINE    
The accurate quantification of sensory difference/similarity between foods, as well as consumer acceptance/preference and concepts, is greatly needed to optimize and maintain food quality. The R-Index is one class of measures of the degree of difference/similarity, and was originally developed for sensory difference tests for food quality control, product development, and so on. The index is based on signal detection theory and is free of the response bias that can invalidate difference testing protocols, including categorization and same-different and A-Not A tests. It is also a nonparametric analysis, making no assumptions about sensory distributions, and is simple to compute and understand. The R-Index is also flexible in its application. Methods based on R-Index analysis have been used as detection and sensory difference tests, as simple alternatives to hedonic scaling, and for the measurement of consumer concepts. This review indicates the various computational strategies for the R-Index and its practical applications to consumer and sensory measurements in food science.
Hye-Seong Lee; Danielle van Hout
Publication Detail:
Type:  Journal Article; Review    
Journal Detail:
Title:  Journal of food science     Volume:  74     ISSN:  1750-3841     ISO Abbreviation:  J. Food Sci.     Publication Date:  2009 Aug 
Date Detail:
Created Date:  2009-09-02     Completed Date:  2010-01-12     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0014052     Medline TA:  J Food Sci     Country:  United States    
Other Details:
Languages:  eng     Pagination:  R57-64     Citation Subset:  IM    
Dept. of Food Science and Engineering, Ewha Womans Univ., Seoul, 120-750, South Korea.
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MeSH Terms
Consumer Satisfaction
Discrimination (Psychology)
Food Analysis / methods*
Food Handling / standards*
Food Preferences
Food Technology / methods*,  standards
Observer Variation
Quality Control
Research Design
Signal Detection, Psychological
Statistics, Nonparametric

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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