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Updated: Jan 15, 2026

Calibrated Passive Sampling - Multi-plot Field Measurements of NH3 Emissions with a Combination of Dynamic Tube Method and Passive Samplers
Published on: March 21, 2016
Selection of the best sorbent material to capture ammonia emissions using passive flux samplers
Ángela María Trivino1, Patrick Brassard2, Stéphane Godbout2
1Department of Bioresource Engineering, Faculty of Agriculture and Environmental Studies, McGill University, 21111 Lakeshore Road., Sainte-Anne-de-Bellevue, H9X 3V9, Québec, Canada; Institut de Recherche et développement en agroenvironnement - IRDA, 2700 Rue Einstein, Québec, G1P 3W8, Québec, Canada.
Abstract:
The agricultural sector is the most significant contributor to global ammonia (NH3) emissions, affecting ecosystems and human health. In this context, passive flux samplers (PFS) have emerged as a cost-effective and practical alternative for monitoring air emissions. The PFS comprises a tubular body with inlet and outlet openings and a sorbent medium that passively collects the target pollutant. This study aims to identify the most efficient acid-coated sorbent among glass microfiber filters, solid glass beads, zeolite, and biochar for the determination of NH3 emissions employing PFS. A comprehensive comparative analysis between the four acid-coated sorbents was conducted, involving aerodynamic analysis, sorption kinetics, variability, and precision of the data. Additionally, a weighted performance index was developed to objectively rank each material to be used in estimating NH3 emissions. The results of this study highlight microfiber glass filters as the most effective acid-coated matrix, combining favorable aerodynamic behaviors with low variability (28 %). In contrast, porous materials such as zeolite and biochar showed high promising sorption capacities (12 573 μg and 3928 μg, respectively) but exhibited high variability (58 % and 37 %), limiting their reliability under field conditions. The methodology developed, the weighted index to select the best sorbent, lays the groundwork for a standardized, reproducible, and transferable approach to sorption evaluation in PFS devices, contributing to more reliable, scalable, and cost-efficient air quality monitoring strategies.
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