Interlaboratory comparison of the intensity of drinking water odor and taste by two-way ordinal analysis of variation without replication
Author(s) -
Tamar Gadrich,
Ilya Kuselman,
Francesca Pennecchi,
David Brynn Hibbert,
Anastasia Semenova,
Pui Sze Cheow,
Vladimir N. Naidenko
Publication year - 2022
Publication title -
journal of water and health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.482
H-Index - 59
eISSN - 1996-7829
pISSN - 1477-8920
DOI - 10.2166/wh.2022.060
Subject(s) - odor , taste , intensity (physics) , categorical variable , statistics , organoleptic , mathematics , sensory analysis , ordinal data , environmental science , food science , chemistry , physics , organic chemistry , quantum mechanics
A case study of ordinal data from human organoleptic examination (sensory analysis) of drinking water obtained in an interlaboratory comparison of 49 ecological laboratories is described. The recently developed two-way ordinal analysis of variation (ORDANOVA) is applied for the first time for the treatment of responses on the intensity of chlorine and sulfurous odor of water at 20 and 60 °C, which is classified into the six categories from 'imperceptible' to 'very strong'. The one-way ORDANOVA is used for the analysis of the 'salty taste' intensity of the water. A decomposition of the total variation of the ordinal data and simulation of the multinomial distribution of the data-relative frequencies in different categories allowed the determination of the statistical significance of the difference between laboratories in classifying chlorine or sulfurous odor intensity by categories, while the effect of temperature was not significant. No statistical difference was found between laboratories on salty taste intensity. The capabilities of experts to identify different categories of the intensity of the odor and taste are also evaluated. A comparison of the results obtained with ORDANOVA and ANOVA showed that ORDANOVA is a more useful and reliable tool for understanding categorical data such as the intensity of drinking water odor and taste.
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