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Interlaboratory comparison of the intensity of drinking water odor and taste by two-way ordinal analysis of variation without replication
Journal of Water & Health ( IF 2.5 ) Pub Date : 2022-06-01 , DOI: 10.2166/wh.2022.060
Tamar Gadrich 1 , Ilya Kuselman 2 , Francesca R Pennecchi 3 , D Brynn Hibbert 4 , Anastasia A Semenova 5 , Pui Sze Cheow 6 , Vladimir N Naidenko 7
Affiliation  

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.



中文翻译:

通过无重复变异的双向序数分析对饮用水气味和味道的强度进行实验室间比较

描述了在 49 个生态实验室的实验室间比较中获得的饮用水人体感官检查(感官分析)的序数数据的案例研究。最近开发的双向序数变异分析 (ORDANOVA) 首次应用于 20° 和 60 °水的氯和亚硫气味强度响应的处理C,分为从“难以察觉”到“非常强烈”的六个类别。单向 ORDANOVA 用于分析水的“咸味”强度。对序数数据的总变异进行分解和模拟不同类别中数据相关频率的多项分布,可以确定实验室之间在按类别分类氯或硫磺气味强度方面的差异的统计显着性,而影响温度不显着。实验室之间在咸味强度方面没有发现统计学差异。还评估了专家识别不同类别的气味和味道强度的能力。

更新日期:2022-06-01
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