Passive Sampling Techniques for Air Quality Monitoring
Summary
Passive sampling has emerged as a versatile approach for monitoring gaseous air pollutants by relying on molecular diffusion rather than active pumping. Common formats include diffusive tubes, radial badges and membrane-protected devices, each housing an absorbent surface that reacts with target compounds. Such samplers deliver time-integrated concentrations of nitrogen dioxide, ozone, sulphur dioxide and volatile organic compounds with minimal logistical burden, enabling widespread deployment in urban, rural and indoor settings. Their low cost and simplicity facilitate dense spatial networks, long-term trend analysis and community-led projects. Key challenges centre on environmental influences on sampling rates—wind speed, temperature and humidity—and the requirement for laboratory calibration or application of bias adjustment factors. Advances in sampler design, novel absorbent media and enhanced analytical detection methods have improved sensitivity and reduced uncertainty. Passive sampling underpins regulatory compliance, epidemiological research, heritage conservation and remote-area monitoring, offering robust data to inform air quality management worldwide.
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Passive Sampling Techniques for Air Quality Monitoring publication trend
The graph below shows the total number of articles in passive sampling techniques for air quality monitoring across all publications each year (not limited to Nature Index journals).
Technical terms
Passive sampler: A device that collects airborne pollutants by molecular diffusion without active pumping or power supply.
Diffusive sampling: An approach in which analyte molecules migrate along a concentration gradient to an absorbent surface at a rate determined by the diffusion coefficient and sampler geometry.
Uptake rate: The effective volume of air sampled per unit time, influenced by diffusion path length, cross-sectional area and environmental conditions.
Bias adjustment factor: A calibration multiplier derived from side-by-side deployment with reference analysers to correct systematic sampling deviations.
References
- Preliminary Air Quality and Microclimatic Conditions Study in the Santuario della Beata Vergine dei Miracoli in Saronno (VA). Molecules (2023).
- Assessing the Spatial Distribution of NO2 and Influencing Factors in Urban Areas—Passive Sampling in a Citizen Science Project in Berlin, Germany. Atmosphere (2023).
- A Simple Technique Based on Digital Images for Determination of Nitrogen Dioxide in Ambient Air. Water, Air, & Soil Pollution (2021).
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