Calibration and evaluation of PUF-PAS sampling rates across the Global Atmospheric Passive Sampling (GAPS) network

Nicholas J Herkert; Scott N Spak; Austen Smith; Jasmin K Schuster; Tom Harner; Andres Martinez; Keri C Hornbuckle

doi:10.1039/c7em00360a

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Calibration and evaluation of PUF-PAS sampling rates across the Global Atmospheric Passive Sampling (GAPS) network

Journal article

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Calibration and evaluation of PUF-PAS sampling rates across the Global Atmospheric Passive Sampling (GAPS) network

Nicholas J Herkert, Scott N Spak, Austen Smith, Jasmin K Schuster, Tom Harner, Andres Martinez and Keri C Hornbuckle

Environmental science--processes & impacts, Vol.20(1), pp.210-219

01/24/2018

DOI: 10.1039/c7em00360a

PMCID: PMC5783774

PMID: 29094747

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https://www.ncbi.nlm.nih.gov/pmc/articles/5783774View

Open Access

Abstract

Passive air samplers equipped with polyurethane foam (PUF-PAS) are frequently used to measure persistent organic pollutants (POPs) in ambient air. Here we present and evaluate a method to determine sampling rates (R ), and the effective sampling volume (V ), for gas-phase chemical compounds captured by a PUF-PAS sampler deployed anywhere in the world. The method uses a mathematical model that requires only publicly available hourly meteorological data, physical-chemical properties of the target compound, and the deployment dates. The predicted R is calibrated from sampling rates determined from 5 depuration compounds ( C PCB-9, C PCB-15, C PCB-32, PCB-30, and d -γ-HCH) injected in 82 samples from 24 sites deployed by the Global Atmospheric Passive Sampling (GAPS) network around the world. The dimensionless fitting parameter, gamma, was found to be constant at 0.267 when implementing the Integrated Surface Database (ISD) weather observations and 0.315 using the Modern Era Retrospective-Analysis for Research and Applications (MERRA) weather dataset. The model provided acceptable agreement between modelled and depuration determined sampling rates, with C PCB-9, C PCB-32, and d -γ-HCH having mean percent bias near zero (±6%) for both weather datasets (ISD and MERRA). The model provides inexpensive and reliable PUF-PAS gas-phase R and V when depuration compounds produce unusual or suspect results and for sites where the use of depuration compounds is impractical, such as sites experiencing low average wind speeds, very cold temperatures, or remote locations.

Models, Theoretical

Polychlorinated Biphenyls - analysis

Air Pollutants - analysis

Wind

Limit of Detection

Environmental Monitoring - instrumentation

Polyurethanes - chemistry

Environmental Monitoring - methods

Hexachlorocyclohexane - analysis

Retrospective Studies

Calibration

ISRP Project 4 2015-2020

Analytical Core

Details

Title: Subtitle: Calibration and evaluation of PUF-PAS sampling rates across the Global Atmospheric Passive Sampling (GAPS) network
Creators: Nicholas J Herkert
Scott N Spak
Austen Smith
Jasmin K Schuster
Tom Harner
Andres Martinez
Keri C Hornbuckle
Resource Type: Journal article
Publication Details: Environmental science--processes & impacts, Vol.20(1), pp.210-219
DOI: 10.1039/c7em00360a
PMID: 29094747
PMCID: PMC5783774
NLM abbreviation: Environ Sci Process Impacts
ISSN: 2050-7887
eISSN: 2050-7895
Publisher: England
Grant note: P42 ES013661 / NIEHS NIH HHS P30 ES005605 / NIEHS NIH HHS P42 ES007381 / NIEHS NIH HHS
Language: English
Date published: 01/24/2018
Academic Unit: Civil and Environmental Engineering; Occupational and Environmental Health; IIHR--Hydroscience and Engineering; Public Policy Center (Archive); School of Planning and Public Affairs; Iowa Superfund Research Program
Record Identifier: 9983997970102771

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