The aim of this study is to analyze error cases induced during the proficiency test of certified odor measurement agencies. In the case of the homogeneity test performed in three panel groups, the geometric mean dilution factor of the site boundary PTMs(proficiency testing materials) was 1.4 ± 0.2, 1.7 ± 0.2, 1.8 ± 0.1 and that of the outlet PTMs was 3.7 ± 0.2, 3.7 ± 0.3, 3.7 ± 0.3, respectively. In the case of the stability test for 72 h, the geometric mean dilution factor of the site boundary PTMs was 1.6 ± 0.1 and that of the outlet PTMs was 3.6 ± 0.1. Among error cases induced during the proficiency test of certified odor measurement agencies, the proportion of error cases was in the order of case II(discontinuance of estimation)(40.0%) > case I(error on estimation procedure by panelist)(33.3%) > case III(miswriting of estimation result)(13.3%) > case IV(miswriting of dilution factor) and V(writing of wrong estimation result)(6.7%). Therefore, it seems likely that additional education related to error cases II and I is required.

The purpose of this study is to investigate that the evaluation of odor analysis is affected by the classification of the agency and the general properties of the odor analysts, including gender, age, smoking behaviour, the number of participation in odor assessment, etc, so as to improve reliability and skills in terms of the result of complex odors by the air dilution methods. The sample for complex odor used the field sample which aimed at the odor analysts in the agency. The general characterizations of the odor analysts have affected the results of the odor analysis. The values of odor evaluation obtained by female odor analysts were more delicate than male, and the value of the result was reduced when above 40 s analysts conducted the evaluation. Moreover, Non-smokers perceived odor more sensitive than smokers. The more experience of odor analysis odor analysts had, The less values of the result were assessed. On the other hand, there are no differences in the value of odor evaluation depending on theclassification of institutions that participate in odor investigation. In conclusion, the selection of odor analysts considered gender, age, smoking behavior, and experience may be required to determine the improved reliability of data in odor evaluation. Ideally, Non-smokers 20~40 years old who have no dysfunction for the olfactory sense can be suitable for being optimal odor analyst.