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

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

2045-2322
Huang, Jyh Jaan Steven
ae93b412-b927-420c-920d-aef251d50586
Lin, Sheng Chi
3e70b4dd-fa2a-401c-9e43-cfcedb482cbb
Löwemark, Ludvig
d28ee868-069c-427c-98c0-13aefe4ccab1
Liou, Sofia Ya Hsuan
e6102cf8-b3c3-40fc-859d-0b006b3ac372
Chang, Queenie
ecc5bd5b-a055-4181-a9ba-f54f8407b2fb
Chang, Tsun Kuo
851817ea-5ad1-4465-8d5e-6ca5700e0b1a
Wei, Kuo Yen
a4f1feac-c5cd-419a-b917-b0e21d7a0e0d
Croudace, Ian W.
24deb068-d096-485e-8a23-a32b7a68afaf
Huang, Jyh Jaan Steven
ae93b412-b927-420c-920d-aef251d50586
Lin, Sheng Chi
3e70b4dd-fa2a-401c-9e43-cfcedb482cbb
Löwemark, Ludvig
d28ee868-069c-427c-98c0-13aefe4ccab1
Liou, Sofia Ya Hsuan
e6102cf8-b3c3-40fc-859d-0b006b3ac372
Chang, Queenie
ecc5bd5b-a055-4181-a9ba-f54f8407b2fb
Chang, Tsun Kuo
851817ea-5ad1-4465-8d5e-6ca5700e0b1a
Wei, Kuo Yen
a4f1feac-c5cd-419a-b917-b0e21d7a0e0d
Croudace, Ian W.
24deb068-d096-485e-8a23-a32b7a68afaf

Huang, Jyh Jaan Steven, Lin, Sheng Chi, Löwemark, Ludvig, Liou, Sofia Ya Hsuan, Chang, Queenie, Chang, Tsun Kuo, Wei, Kuo Yen and Croudace, Ian W. (2019) Rapid assessment of heavy metal pollution using ion-exchange resin sachets and micro-XRF core-scanning. Scientific Reports, 9 (1), [6601]. (doi:10.1038/s41598-019-43015-x).

Record type: Article

Abstract

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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s41598-019-43015-x - Version of Record
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Accepted/In Press date: 3 April 2019
e-pub ahead of print date: 29 April 2019
Published date: 1 December 2019

Identifiers

Local EPrints ID: 431086
URI: http://eprints.soton.ac.uk/id/eprint/431086
ISSN: 2045-2322
PURE UUID: 48064268-b97b-4ea8-8052-bf73df37699d

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Date deposited: 23 May 2019 16:30
Last modified: 07 Oct 2020 01:07

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Contributors

Author: Jyh Jaan Steven Huang
Author: Sheng Chi Lin
Author: Ludvig Löwemark
Author: Sofia Ya Hsuan Liou
Author: Queenie Chang
Author: Tsun Kuo Chang
Author: Kuo Yen Wei
Author: Ian W. Croudace

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