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The Dig Task: A Simple Scent Discrimination Reveals Deficits Following Frontal Brain Damage

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Published on: January 4, 2013

Scents in the stack: olfactometric proficiency testing with an emission simulation apparatus.

Stephan Stöckel¹, Jens Cordes¹, Benno Stoffels¹

¹Department I3 (Air Pollution Control, Emission), Hessian Agency for Nature Conservation, Environment and Geology, Kassel, Germany.

Environmental Science and Pollution Research International

|June 22, 2018

Summary

This summary is machine-generated.

Olfactometry measurements show high uncertainties, exceeding standard limits. Replacing the reference substance n-butanol won't fix inherent issues in odor monitoring.

Keywords:

EN 13725 Emission simulation apparatus Odor threshold Olfactometry Proficiency test Stack emission

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Area of Science:

Environmental Science
Analytical Chemistry
Air Quality Monitoring

Background:

Olfactometry is crucial for determining odor concentrations for regulatory air pollution control.
Standardized procedures exist, but research is needed to address uncertainties in odor monitoring and prediction.
Accurate odor concentration determination is vital for public health protection against air pollution.

Purpose of the Study:

To analyze measurement data from large-scale olfactometry proficiency tests to understand uncertainties.
To investigate the variability of odorant recovery rates in stack emission monitoring.
To evaluate the impact of reference substance choice on olfactometry accuracy.

Main Methods:

Retrospective analysis of measurement data from six proficiency tests (2015-2017).
Utilized a unique 23m high emission simulation apparatus mimicking an industrial chimney.
Combined conventional proficiency testing with real measurements without reference concentrations.

Main Results:

Observed highly variable recovery rates for different odorants.
Calculated extensive measurement uncertainties (30-300% to 20-520%), significantly exceeding the EN 13725 standard (45-220%).
Found no evidence that odorant mixtures are determined more precisely than single components.

Conclusions:

The choice of reference substance (e.g., n-butanol vs. multi-component) will not resolve the inherent high uncertainty in dynamic olfactometry.
High measurement uncertainties challenge the reliability of current odor monitoring and regulatory assessment.
Robust statistics enabled the calculation of reliable odor thresholds for mass to odor concentration conversion.