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Trace metals and magnetic particles in PM(2.5): Magnetic identification and its implications
Magnetic measurement was combined with geochemical analysis to investigate the trace metal pollution of PM(2.5). The study was carried out in Nanjing, China, where the average PM(2.5) concentrations in summer and winter in 2013–2014 were 66.37 and 96.92 μg/m(3), respectively. The dominant magnetic m...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5574900/ https://www.ncbi.nlm.nih.gov/pubmed/28851943 http://dx.doi.org/10.1038/s41598-017-08628-0 |
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author | Wang, Jinhua Li, Shiwei Li, Huiming Qian, Xin Li, Xiaolong Liu, Xuemei Lu, Hao Wang, Cheng Sun, Yixuan |
author_facet | Wang, Jinhua Li, Shiwei Li, Huiming Qian, Xin Li, Xiaolong Liu, Xuemei Lu, Hao Wang, Cheng Sun, Yixuan |
author_sort | Wang, Jinhua |
collection | PubMed |
description | Magnetic measurement was combined with geochemical analysis to investigate the trace metal pollution of PM(2.5). The study was carried out in Nanjing, China, where the average PM(2.5) concentrations in summer and winter in 2013–2014 were 66.37 and 96.92 μg/m(3), respectively. The dominant magnetic mineral in PM(2.5) had a low-coercivity pseudo-single domain and consisted of magnetite and hematite. Iron-oxide magnetic particles comprised spherical as well as angular particles. Stable Pb isotopic ratio determinations showed that Pb in summer samples derived from coal emissions while the main sources of winter samples were smelting industry and coal emissions. The magnetic properties of the particles correlated strongly with trace metals derived from anthropogenic activities, such as industrial emission, coal combustion, and traffic vehicle activities, but poorly with those derived from natural sources. In the multiple linear regression analysis, Cr and Fe had higher correlation coefficients (training R > 0.7) in contrast to the low training R of As, Cd, Ni, Sr, and Ti (<0.5) determined using the PM(2.5) concentrations and magnetic parameter values as the decision variables. Our results support the use of environmental magnetism determinations as a simple and fast method to assess trace metals in urban particulate matter. |
format | Online Article Text |
id | pubmed-5574900 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55749002017-09-01 Trace metals and magnetic particles in PM(2.5): Magnetic identification and its implications Wang, Jinhua Li, Shiwei Li, Huiming Qian, Xin Li, Xiaolong Liu, Xuemei Lu, Hao Wang, Cheng Sun, Yixuan Sci Rep Article Magnetic measurement was combined with geochemical analysis to investigate the trace metal pollution of PM(2.5). The study was carried out in Nanjing, China, where the average PM(2.5) concentrations in summer and winter in 2013–2014 were 66.37 and 96.92 μg/m(3), respectively. The dominant magnetic mineral in PM(2.5) had a low-coercivity pseudo-single domain and consisted of magnetite and hematite. Iron-oxide magnetic particles comprised spherical as well as angular particles. Stable Pb isotopic ratio determinations showed that Pb in summer samples derived from coal emissions while the main sources of winter samples were smelting industry and coal emissions. The magnetic properties of the particles correlated strongly with trace metals derived from anthropogenic activities, such as industrial emission, coal combustion, and traffic vehicle activities, but poorly with those derived from natural sources. In the multiple linear regression analysis, Cr and Fe had higher correlation coefficients (training R > 0.7) in contrast to the low training R of As, Cd, Ni, Sr, and Ti (<0.5) determined using the PM(2.5) concentrations and magnetic parameter values as the decision variables. Our results support the use of environmental magnetism determinations as a simple and fast method to assess trace metals in urban particulate matter. Nature Publishing Group UK 2017-08-29 /pmc/articles/PMC5574900/ /pubmed/28851943 http://dx.doi.org/10.1038/s41598-017-08628-0 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Wang, Jinhua Li, Shiwei Li, Huiming Qian, Xin Li, Xiaolong Liu, Xuemei Lu, Hao Wang, Cheng Sun, Yixuan Trace metals and magnetic particles in PM(2.5): Magnetic identification and its implications |
title | Trace metals and magnetic particles in PM(2.5): Magnetic identification and its implications |
title_full | Trace metals and magnetic particles in PM(2.5): Magnetic identification and its implications |
title_fullStr | Trace metals and magnetic particles in PM(2.5): Magnetic identification and its implications |
title_full_unstemmed | Trace metals and magnetic particles in PM(2.5): Magnetic identification and its implications |
title_short | Trace metals and magnetic particles in PM(2.5): Magnetic identification and its implications |
title_sort | trace metals and magnetic particles in pm(2.5): magnetic identification and its implications |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5574900/ https://www.ncbi.nlm.nih.gov/pubmed/28851943 http://dx.doi.org/10.1038/s41598-017-08628-0 |
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