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Rapid assessment of heavy metal pollution using ion-exchange resin sachets and micro-XRF core-scanning

Conventional pollution monitoring strategies for heavy metals are often costly and unpractical. Innovative sampling and analytical approaches are therefore needed to efficiently monitor large areas. This study presents a novel, simple, fast, and inexpensive method to monitor heavy metal pollution th...

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Autores principales: Huang, Jyh-Jaan Steven, Lin, Sheng-Chi, Löwemark, Ludvig, Liou, Sofia Ya Hsuan, Chang, Queenie, Chang, Tsun-Kuo, Wei, Kuo-Yen, Croudace, Ian W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6488570/
https://www.ncbi.nlm.nih.gov/pubmed/31036842
http://dx.doi.org/10.1038/s41598-019-43015-x
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author Huang, Jyh-Jaan Steven
Lin, Sheng-Chi
Löwemark, Ludvig
Liou, Sofia Ya Hsuan
Chang, Queenie
Chang, Tsun-Kuo
Wei, Kuo-Yen
Croudace, Ian W.
author_facet Huang, Jyh-Jaan Steven
Lin, Sheng-Chi
Löwemark, Ludvig
Liou, Sofia Ya Hsuan
Chang, Queenie
Chang, Tsun-Kuo
Wei, Kuo-Yen
Croudace, Ian W.
author_sort Huang, Jyh-Jaan Steven
collection PubMed
description Conventional pollution monitoring strategies for heavy metals are often costly and unpractical. Innovative sampling and analytical approaches are therefore needed to efficiently monitor large areas. This study presents a novel, simple, fast, and inexpensive method to monitor heavy metal pollution that uses cation-exchange resin sachets and the micro-XRF core-scanning technique (XRF-CS). The resin passive samplers act as concentrators of cationic species and can be readily deployed spatially and temporally to record pollution signals. The large number of analytical tasks are then overcome by the fast and non-destructive XRF-CS to precisely assess elemental concentrations. Quantifying element loading involves direct comparison with a set of identically prepared and scanned resin reference standards containing Ca, Ti, Cr, Mn, Ni, Cu, Zn, Pb. The results show that within the test range (from 0–1000 s mg kg(−1)), the calibration lines have excellent regressions (R(2) ≥ 0.97), even at the shortest exposure time (1 s). A pilot field survey of a suspected polluted area in central Taiwan, where 30 resin sachets had been deployed, identified a pollution hot spot in a rapid and economical manner. Therefore, this approach has the potential to become a valuable tool in environmental monitoring and forensics.
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spelling pubmed-64885702019-05-16 Rapid assessment of heavy metal pollution using ion-exchange resin sachets and micro-XRF core-scanning Huang, Jyh-Jaan Steven Lin, Sheng-Chi Löwemark, Ludvig Liou, Sofia Ya Hsuan Chang, Queenie Chang, Tsun-Kuo Wei, Kuo-Yen Croudace, Ian W. Sci Rep Article Conventional pollution monitoring strategies for heavy metals are often costly and unpractical. Innovative sampling and analytical approaches are therefore needed to efficiently monitor large areas. This study presents a novel, simple, fast, and inexpensive method to monitor heavy metal pollution that uses cation-exchange resin sachets and the micro-XRF core-scanning technique (XRF-CS). The resin passive samplers act as concentrators of cationic species and can be readily deployed spatially and temporally to record pollution signals. The large number of analytical tasks are then overcome by the fast and non-destructive XRF-CS to precisely assess elemental concentrations. Quantifying element loading involves direct comparison with a set of identically prepared and scanned resin reference standards containing Ca, Ti, Cr, Mn, Ni, Cu, Zn, Pb. The results show that within the test range (from 0–1000 s mg kg(−1)), the calibration lines have excellent regressions (R(2) ≥ 0.97), even at the shortest exposure time (1 s). A pilot field survey of a suspected polluted area in central Taiwan, where 30 resin sachets had been deployed, identified a pollution hot spot in a rapid and economical manner. Therefore, this approach has the potential to become a valuable tool in environmental monitoring and forensics. Nature Publishing Group UK 2019-04-29 /pmc/articles/PMC6488570/ /pubmed/31036842 http://dx.doi.org/10.1038/s41598-019-43015-x Text en © The Author(s) 2019 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
Huang, Jyh-Jaan Steven
Lin, Sheng-Chi
Löwemark, Ludvig
Liou, Sofia Ya Hsuan
Chang, Queenie
Chang, Tsun-Kuo
Wei, Kuo-Yen
Croudace, Ian W.
Rapid assessment of heavy metal pollution using ion-exchange resin sachets and micro-XRF core-scanning
title Rapid assessment of heavy metal pollution using ion-exchange resin sachets and micro-XRF core-scanning
title_full Rapid assessment of heavy metal pollution using ion-exchange resin sachets and micro-XRF core-scanning
title_fullStr Rapid assessment of heavy metal pollution using ion-exchange resin sachets and micro-XRF core-scanning
title_full_unstemmed Rapid assessment of heavy metal pollution using ion-exchange resin sachets and micro-XRF core-scanning
title_short Rapid assessment of heavy metal pollution using ion-exchange resin sachets and micro-XRF core-scanning
title_sort rapid assessment of heavy metal pollution using ion-exchange resin sachets and micro-xrf core-scanning
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6488570/
https://www.ncbi.nlm.nih.gov/pubmed/31036842
http://dx.doi.org/10.1038/s41598-019-43015-x
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