Sampling efficiency of a polyurethane foam air sampler: Effect of temperature

Effective monitoring of atmospheric concentrations is vital for assessing the Stockholm Convention's effectiveness on persistent organic pollutants (POPs). This task, particularly challenging in polar regions due to low air concentrations and temperature fluctuations, requires robust sampling t...

Full description

Bibliographic Details
Main Authors: Qiu-Liang Cai, Cen-Yan Huang, Lei Tong, Ning Zhong, Xiao-Rong Dai, Jian-Rong Li, Jie Zheng, Meng-Meng He, Hang Xiao
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Environmental Science and Ecotechnology
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666498423000923
_version_ 1827578531769483264
author Qiu-Liang Cai
Cen-Yan Huang
Lei Tong
Ning Zhong
Xiao-Rong Dai
Jian-Rong Li
Jie Zheng
Meng-Meng He
Hang Xiao
author_facet Qiu-Liang Cai
Cen-Yan Huang
Lei Tong
Ning Zhong
Xiao-Rong Dai
Jian-Rong Li
Jie Zheng
Meng-Meng He
Hang Xiao
author_sort Qiu-Liang Cai
collection DOAJ
description Effective monitoring of atmospheric concentrations is vital for assessing the Stockholm Convention's effectiveness on persistent organic pollutants (POPs). This task, particularly challenging in polar regions due to low air concentrations and temperature fluctuations, requires robust sampling techniques. Furthermore, the influence of temperature on the sampling efficiency of polyurethane foam discs remains unclear. Here we employ a flow-through sampling (FTS) column coupled with an active pump to collect air samples at varying temperatures. We delved into breakthrough profiles of key pollutants, such as polycyclic aromatic hydrocarbons (PAHs), polychlorobiphenyls (PCBs), and organochlorine pesticides (OCPs), and examined the temperature-dependent behaviors of the theoretical plate number (N) and breakthrough volume (VB) using frontal chromatography theory. Our findings reveal a significant relationship between temperature dependence coefficients (KTN, KTV) and compound volatility, with decreasing values as volatility increases. While distinct trends are noted for PAHs, PCBs, and OCPs in KTN, KTV values exhibit similar patterns across all chemicals. Moreover, we establish a binary linear correlation between log (VB/m3), 1/(T/K), and N, simplifying breakthrough level estimation by enabling easy conversion between N and VB. Finally, an empirical linear solvation energy relationship incorporating a temperature term is developed, yielding satisfactory results for N at various temperatures. This approach holds the potential to rectify temperature-related effects and loss rates in historical data from long-term monitoring networks, benefiting polar and remote regions.
first_indexed 2024-03-08T21:47:52Z
format Article
id doaj.art-28ccf83f55ae4db98a6e805793cd71df
institution Directory Open Access Journal
issn 2666-4984
language English
last_indexed 2024-03-08T21:47:52Z
publishDate 2024-03-01
publisher Elsevier
record_format Article
series Environmental Science and Ecotechnology
spelling doaj.art-28ccf83f55ae4db98a6e805793cd71df2023-12-20T07:38:43ZengElsevierEnvironmental Science and Ecotechnology2666-49842024-03-0118100327Sampling efficiency of a polyurethane foam air sampler: Effect of temperatureQiu-Liang Cai0Cen-Yan Huang1Lei Tong2Ning Zhong3Xiao-Rong Dai4Jian-Rong Li5Jie Zheng6Meng-Meng He7Hang Xiao8Key Laboratory of Urban Environment and Health, Ningbo Observation and Research Station, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China; Key Laboratory of Ecological Environment Analysis and Pollution Control in Western Guangxi Region, College of Agriculture and Food Engineering, Baise University, Baise, 533000, ChinaCollege of Biological and Environmental Sciences, Zhejiang Wanli University, Ningbo, 315100, ChinaKey Laboratory of Urban Environment and Health, Ningbo Observation and Research Station, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China; Zhejiang Key Laboratory of Urban Environmental Processes and Pollution Control, CAS Haixi Industrial Technology Innovation Center in Beilun, Ningbo, 315830, ChinaMinnan Normal University, Zhangzhou, 363000, ChinaKey Laboratory of Urban Environment and Health, Ningbo Observation and Research Station, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China; College of Biological and Environmental Sciences, Zhejiang Wanli University, Ningbo, 315100, ChinaKey Laboratory of Urban Environment and Health, Ningbo Observation and Research Station, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China; Zhejiang Key Laboratory of Urban Environmental Processes and Pollution Control, CAS Haixi Industrial Technology Innovation Center in Beilun, Ningbo, 315830, ChinaKey Laboratory of Urban Environment and Health, Ningbo Observation and Research Station, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China; Zhejiang Key Laboratory of Urban Environmental Processes and Pollution Control, CAS Haixi Industrial Technology Innovation Center in Beilun, Ningbo, 315830, ChinaKey Laboratory of Urban Environment and Health, Ningbo Observation and Research Station, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China; Zhejiang Key Laboratory of Urban Environmental Processes and Pollution Control, CAS Haixi Industrial Technology Innovation Center in Beilun, Ningbo, 315830, ChinaKey Laboratory of Urban Environment and Health, Ningbo Observation and Research Station, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China; Corresponding author. Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China.Effective monitoring of atmospheric concentrations is vital for assessing the Stockholm Convention's effectiveness on persistent organic pollutants (POPs). This task, particularly challenging in polar regions due to low air concentrations and temperature fluctuations, requires robust sampling techniques. Furthermore, the influence of temperature on the sampling efficiency of polyurethane foam discs remains unclear. Here we employ a flow-through sampling (FTS) column coupled with an active pump to collect air samples at varying temperatures. We delved into breakthrough profiles of key pollutants, such as polycyclic aromatic hydrocarbons (PAHs), polychlorobiphenyls (PCBs), and organochlorine pesticides (OCPs), and examined the temperature-dependent behaviors of the theoretical plate number (N) and breakthrough volume (VB) using frontal chromatography theory. Our findings reveal a significant relationship between temperature dependence coefficients (KTN, KTV) and compound volatility, with decreasing values as volatility increases. While distinct trends are noted for PAHs, PCBs, and OCPs in KTN, KTV values exhibit similar patterns across all chemicals. Moreover, we establish a binary linear correlation between log (VB/m3), 1/(T/K), and N, simplifying breakthrough level estimation by enabling easy conversion between N and VB. Finally, an empirical linear solvation energy relationship incorporating a temperature term is developed, yielding satisfactory results for N at various temperatures. This approach holds the potential to rectify temperature-related effects and loss rates in historical data from long-term monitoring networks, benefiting polar and remote regions.http://www.sciencedirect.com/science/article/pii/S2666498423000923TemperatureTheoretical plate numberBreakthrough volumeFrontal chromatographic theoryLSER
spellingShingle Qiu-Liang Cai
Cen-Yan Huang
Lei Tong
Ning Zhong
Xiao-Rong Dai
Jian-Rong Li
Jie Zheng
Meng-Meng He
Hang Xiao
Sampling efficiency of a polyurethane foam air sampler: Effect of temperature
Environmental Science and Ecotechnology
Temperature
Theoretical plate number
Breakthrough volume
Frontal chromatographic theory
LSER
title Sampling efficiency of a polyurethane foam air sampler: Effect of temperature
title_full Sampling efficiency of a polyurethane foam air sampler: Effect of temperature
title_fullStr Sampling efficiency of a polyurethane foam air sampler: Effect of temperature
title_full_unstemmed Sampling efficiency of a polyurethane foam air sampler: Effect of temperature
title_short Sampling efficiency of a polyurethane foam air sampler: Effect of temperature
title_sort sampling efficiency of a polyurethane foam air sampler effect of temperature
topic Temperature
Theoretical plate number
Breakthrough volume
Frontal chromatographic theory
LSER
url http://www.sciencedirect.com/science/article/pii/S2666498423000923
work_keys_str_mv AT qiuliangcai samplingefficiencyofapolyurethanefoamairsamplereffectoftemperature
AT cenyanhuang samplingefficiencyofapolyurethanefoamairsamplereffectoftemperature
AT leitong samplingefficiencyofapolyurethanefoamairsamplereffectoftemperature
AT ningzhong samplingefficiencyofapolyurethanefoamairsamplereffectoftemperature
AT xiaorongdai samplingefficiencyofapolyurethanefoamairsamplereffectoftemperature
AT jianrongli samplingefficiencyofapolyurethanefoamairsamplereffectoftemperature
AT jiezheng samplingefficiencyofapolyurethanefoamairsamplereffectoftemperature
AT mengmenghe samplingefficiencyofapolyurethanefoamairsamplereffectoftemperature
AT hangxiao samplingefficiencyofapolyurethanefoamairsamplereffectoftemperature