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Updated: Jul 5, 2026

Characterization and Application of Passive Samplers for Monitoring of Pesticides in Water
Published on: August 3, 2016
GABIE and Perkin Elmer passive sampler performance under fluctuating concentration conditions
1Institut National de Recherche et de Sécurite (INRS), 50 avenue de Bourgogne, BP27, 54500 Vandoeuvre les Nancy, France. eddy.langlois@inrs.fr
Passive samplers accurately assess organic compound exposure, even with fluctuating concentrations or short sampling times. A new strategy combines direct reading devices with passive samplers for effective short-term exposure assessment.
Area of Science:
- Environmental Chemistry
- Analytical Chemistry
- Occupational Health
Background:
- Passive sampling is a validated method for long-term organic compound exposure assessment.
- The suitability of passive samplers for short-term exposure requires validation under dynamic conditions.
Purpose of the Study:
- To evaluate the performance of two commercial passive samplers (GABIE and Perkin Elmer) under fluctuating concentration conditions.
- To determine the efficacy of passive samplers for short-term exposure assessment.
- To propose an optimized sampling strategy for short-term exposure monitoring.
Main Methods:
- Laboratory-based study using artificial atmospheres with controlled, fluctuating concentration profiles.
- Exposure of GABIE and Perkin Elmer passive samplers to varied concentration scenarios.
- Theoretical analysis and experimental validation of sampler behavior.
Main Results:
- Both GABIE and Perkin Elmer passive samplers demonstrated capability in assessing exposure under unsteady concentrations.
- The samplers proved effective for short-duration sampling periods.
- Theoretical and experimental data support the samplers' reliability in dynamic environments.
Conclusions:
- Commercial passive samplers can be reliably used for short-term exposure assessment, even with variable pollutant levels.
- A combined approach using direct-reading photoionization devices and passive samplers is proposed for enhanced short-term exposure monitoring.
- The study validates passive sampling for dynamic exposure scenarios, broadening its application.
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