Consideration of sample heterogeneity and in-depth analysis of individual differences in sensory analysis

被引:9
作者
Bavay, Cecile [1 ]
Brockhoff, Per Bruun [2 ]
Kuznetsova, Alexandra [2 ]
Maitre, Isabelle [1 ]
Mehinagic, Emira [1 ]
Symoneaux, Ronan [1 ]
机构
[1] LUNAM Univ, SFR QUASAV 4207, Grp ESA, UPSP GRAPPE, F-49007 Angers 01, France
[2] Tech Univ Denmark, Stat Sect, DTU Informat, DK-2800 Lyngby, Denmark
关键词
Assessor model; Mixed model; Sample heterogeneity; Sensory profile; Variability;
D O I
10.1016/j.foodqual.2013.06.003
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
In descriptive sensory analysis, large variations may be observed between scores. Individual differences between assessors have been identified as one cause for these variations. Much work has been done on modeling these differences and accounting for them through analysis of variance (ANOVA). When the products studied are prone to biological heterogeneity (e.g. fruits, vegetables, cheeses, etc.), variations in the data may be due to assessor differences and/or product heterogeneity. The present paper proposes an approach for quantifying these two sources of variation. For individual differences, an extended version of the assessor model approach is applied. The data set used in the paper is based on sensory evaluations of three apple samples scored by a panel of 19 assessors using seven descriptors in four replicates. The application of the extended assessor model approach to unbalanced data provides more insight into assessor differences and a better test for product differences. These results demonstrate the importance of choosing the right model and taking all potential sources of variation into account. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:126 / 131
页数:6
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