Assessment of trace elements directly from archived total suspended particulate filters by laser ablation ICP-MS: A case study of South Carolina
Background: Exposure to particulate air pollution is one of the greatest environmental risk factors for adverse human health outcomes. However, the constituents that may be responsible for such adverse health effects have not been fully studied. Methods: Total suspended particulates filters collecte...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2023-03-01
|
Series: | Journal of Trace Elements and Minerals |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2773050622000404 |
_version_ | 1811166132891025408 |
---|---|
author | Sarah Commodore Steven Christopher Bethany Wolf Erik Svendsen |
author_facet | Sarah Commodore Steven Christopher Bethany Wolf Erik Svendsen |
author_sort | Sarah Commodore |
collection | DOAJ |
description | Background: Exposure to particulate air pollution is one of the greatest environmental risk factors for adverse human health outcomes. However, the constituents that may be responsible for such adverse health effects have not been fully studied. Methods: Total suspended particulates filters collected every 6 days in 2011 from three South Carolina locations were used in this case study. An inductively coupled plasma mass spectrometer interfaced with a laser ablation system (LA-ICP-MS) was used to directly analyze 41 inorganic elemental species on air pollution filters. Then, machine learning and multivariate statistical methods was employed to identify combinatorial patterns in the data and classify sites based on their elemental composition. Results: Forty-one elements were assessed and 33 were used in subsequent analysis. Correlations between United States Environmental Protection Agency (US EPA)’s chemical analysis dataset and data from the current study revealed significant associations between 7/15 elements with enough variation for comparison (r between 0.28 to 0.66, p<0.05). Subsequent multivariate analyses revealed four distinct patterns in the distribution of elements by sample location throughout the year. Conclusion: The different airborne elements may need to be assessed to understand combinations of elements which occur together over space and/or time. Such information can be helpful in planning effective counter measures and strategies to control particulate air pollution. |
first_indexed | 2024-04-10T15:47:36Z |
format | Article |
id | doaj.art-90ba018e437b4bfa823bd787a669bc08 |
institution | Directory Open Access Journal |
issn | 2773-0506 |
language | English |
last_indexed | 2024-04-10T15:47:36Z |
publishDate | 2023-03-01 |
publisher | Elsevier |
record_format | Article |
series | Journal of Trace Elements and Minerals |
spelling | doaj.art-90ba018e437b4bfa823bd787a669bc082023-02-12T04:15:55ZengElsevierJournal of Trace Elements and Minerals2773-05062023-03-013100041Assessment of trace elements directly from archived total suspended particulate filters by laser ablation ICP-MS: A case study of South CarolinaSarah Commodore0Steven Christopher1Bethany Wolf2Erik Svendsen3Indiana University, Department of Environmental and Occupational Health, Bloomington, IN, United States; Corresponding author.National Institute of Standards and Technology, Charleston, SC, United StatesMedical University of South Carolina, Department of Public Health Sciences, Charleston, SC, United StatesMedical University of South Carolina, Department of Public Health Sciences, Charleston, SC, United StatesBackground: Exposure to particulate air pollution is one of the greatest environmental risk factors for adverse human health outcomes. However, the constituents that may be responsible for such adverse health effects have not been fully studied. Methods: Total suspended particulates filters collected every 6 days in 2011 from three South Carolina locations were used in this case study. An inductively coupled plasma mass spectrometer interfaced with a laser ablation system (LA-ICP-MS) was used to directly analyze 41 inorganic elemental species on air pollution filters. Then, machine learning and multivariate statistical methods was employed to identify combinatorial patterns in the data and classify sites based on their elemental composition. Results: Forty-one elements were assessed and 33 were used in subsequent analysis. Correlations between United States Environmental Protection Agency (US EPA)’s chemical analysis dataset and data from the current study revealed significant associations between 7/15 elements with enough variation for comparison (r between 0.28 to 0.66, p<0.05). Subsequent multivariate analyses revealed four distinct patterns in the distribution of elements by sample location throughout the year. Conclusion: The different airborne elements may need to be assessed to understand combinations of elements which occur together over space and/or time. Such information can be helpful in planning effective counter measures and strategies to control particulate air pollution.http://www.sciencedirect.com/science/article/pii/S2773050622000404Air qualityAir filter mediaLaser ablation ICP-MSTotal suspended particulatesSpatio-temporal patterns |
spellingShingle | Sarah Commodore Steven Christopher Bethany Wolf Erik Svendsen Assessment of trace elements directly from archived total suspended particulate filters by laser ablation ICP-MS: A case study of South Carolina Journal of Trace Elements and Minerals Air quality Air filter media Laser ablation ICP-MS Total suspended particulates Spatio-temporal patterns |
title | Assessment of trace elements directly from archived total suspended particulate filters by laser ablation ICP-MS: A case study of South Carolina |
title_full | Assessment of trace elements directly from archived total suspended particulate filters by laser ablation ICP-MS: A case study of South Carolina |
title_fullStr | Assessment of trace elements directly from archived total suspended particulate filters by laser ablation ICP-MS: A case study of South Carolina |
title_full_unstemmed | Assessment of trace elements directly from archived total suspended particulate filters by laser ablation ICP-MS: A case study of South Carolina |
title_short | Assessment of trace elements directly from archived total suspended particulate filters by laser ablation ICP-MS: A case study of South Carolina |
title_sort | assessment of trace elements directly from archived total suspended particulate filters by laser ablation icp ms a case study of south carolina |
topic | Air quality Air filter media Laser ablation ICP-MS Total suspended particulates Spatio-temporal patterns |
url | http://www.sciencedirect.com/science/article/pii/S2773050622000404 |
work_keys_str_mv | AT sarahcommodore assessmentoftraceelementsdirectlyfromarchivedtotalsuspendedparticulatefiltersbylaserablationicpmsacasestudyofsouthcarolina AT stevenchristopher assessmentoftraceelementsdirectlyfromarchivedtotalsuspendedparticulatefiltersbylaserablationicpmsacasestudyofsouthcarolina AT bethanywolf assessmentoftraceelementsdirectlyfromarchivedtotalsuspendedparticulatefiltersbylaserablationicpmsacasestudyofsouthcarolina AT eriksvendsen assessmentoftraceelementsdirectlyfromarchivedtotalsuspendedparticulatefiltersbylaserablationicpmsacasestudyofsouthcarolina |