{"title":"Measurement uncertainty in odor emission measurements - conclusions from 10 years of proficiency testing","authors":"Jens Cordes, Benno Stoffels, Dominik Wildanger","doi":"10.1016/j.aeaoa.2026.100450","DOIUrl":null,"url":null,"abstract":"<div><div>Dynamic olfactometry according to EN 13725 is widely used as the standard method for quantifying odor emissions, yet its measurement uncertainty remains debated. This study evaluates ten years (2015–2024) of proficiency testing data, including more than 1900 measurements on a stack simulator and compares these with over 1000 real-world emission analyses. The key findings are a repeatability standard deviation (<em>s</em><sub><em>r</em></sub>) of 0.53 dB<sub>od</sub> and a reproducibility standard deviation (<em>s</em><sub><em>R</em></sub>) of 2.55 dB<sub>od</sub> for general odors. The expanded uncertainty (95% confidence) is estimated at 5.10 dB<sub>od</sub>. For the reference odorant <em>n</em>-butanol, <em>s</em><sub><em>R</em></sub> was lower (1.87 dB<sub>od</sub>), reflecting assessor pre-screening. Importantly, the sample composition (single substances versus complex mixtures) did not impact variability. Our results demonstrate that proficiency tests on a stack simulator accurately reflect real-world variability, challenging previous assumptions of lower uncertainties (≤2 dB<sub>od</sub>). The findings underscore the need for revised uncertainty estimates in regulatory frameworks. This work provides the most comprehensive empirical basis to date for optimizing the implementation of EN 13725 and guiding future standardization efforts.</div></div>","PeriodicalId":37150,"journal":{"name":"Atmospheric Environment: X","volume":"30 ","pages":"Article 100450"},"PeriodicalIF":3.4000,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Atmospheric Environment: X","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2590162126000389","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/4/10 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Dynamic olfactometry according to EN 13725 is widely used as the standard method for quantifying odor emissions, yet its measurement uncertainty remains debated. This study evaluates ten years (2015–2024) of proficiency testing data, including more than 1900 measurements on a stack simulator and compares these with over 1000 real-world emission analyses. The key findings are a repeatability standard deviation (sr) of 0.53 dBod and a reproducibility standard deviation (sR) of 2.55 dBod for general odors. The expanded uncertainty (95% confidence) is estimated at 5.10 dBod. For the reference odorant n-butanol, sR was lower (1.87 dBod), reflecting assessor pre-screening. Importantly, the sample composition (single substances versus complex mixtures) did not impact variability. Our results demonstrate that proficiency tests on a stack simulator accurately reflect real-world variability, challenging previous assumptions of lower uncertainties (≤2 dBod). The findings underscore the need for revised uncertainty estimates in regulatory frameworks. This work provides the most comprehensive empirical basis to date for optimizing the implementation of EN 13725 and guiding future standardization efforts.