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Application of portable XRF and VNIR sensors for rapid assessment of soil heavy metal pollution

Rapid heavy metal soil surveys at large scale with high sampling density could not be conducted with traditional laboratory physical and chemical analyses because of the high cost, low efficiency and heavy workload involved. This study explored a rapid approach to assess heavy metals contamination i...

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Autores principales: Hu, Bifeng, Chen, Songchao, Hu, Jie, Xia, Fang, Xu, Junfeng, Li, Yan, Shi, Zhou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5325278/
https://www.ncbi.nlm.nih.gov/pubmed/28234944
http://dx.doi.org/10.1371/journal.pone.0172438
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author Hu, Bifeng
Chen, Songchao
Hu, Jie
Xia, Fang
Xu, Junfeng
Li, Yan
Shi, Zhou
author_facet Hu, Bifeng
Chen, Songchao
Hu, Jie
Xia, Fang
Xu, Junfeng
Li, Yan
Shi, Zhou
author_sort Hu, Bifeng
collection PubMed
description Rapid heavy metal soil surveys at large scale with high sampling density could not be conducted with traditional laboratory physical and chemical analyses because of the high cost, low efficiency and heavy workload involved. This study explored a rapid approach to assess heavy metals contamination in 301 farmland soils from Fuyang in Zhejiang Province, in the southern Yangtze River Delta, China, using portable proximal soil sensors. Portable X-ray fluorescence spectroscopy (PXRF) was used to determine soil heavy metals total concentrations while soil pH was predicted by portable visible-near infrared spectroscopy (PVNIR). Zn, Cu and Pb were successfully predicted by PXRF (R(2) >0.90 and RPD >2.50) while As and Ni were predicted with less accuracy (R(2) <0.75 and RPD <1.40). The pH values were well predicted by PVNIR. Classification of heavy metals contamination grades in farmland soils was conducted based on previous results; the Kappa coefficient was 0.87, which showed that the combination of PXRF and PVNIR was an effective and rapid method to determine the degree of pollution with soil heavy metals. This study provides a new approach to assess soil heavy metals pollution; this method will facilitate large-scale surveys of soil heavy metal pollution.
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spelling pubmed-53252782017-03-09 Application of portable XRF and VNIR sensors for rapid assessment of soil heavy metal pollution Hu, Bifeng Chen, Songchao Hu, Jie Xia, Fang Xu, Junfeng Li, Yan Shi, Zhou PLoS One Research Article Rapid heavy metal soil surveys at large scale with high sampling density could not be conducted with traditional laboratory physical and chemical analyses because of the high cost, low efficiency and heavy workload involved. This study explored a rapid approach to assess heavy metals contamination in 301 farmland soils from Fuyang in Zhejiang Province, in the southern Yangtze River Delta, China, using portable proximal soil sensors. Portable X-ray fluorescence spectroscopy (PXRF) was used to determine soil heavy metals total concentrations while soil pH was predicted by portable visible-near infrared spectroscopy (PVNIR). Zn, Cu and Pb were successfully predicted by PXRF (R(2) >0.90 and RPD >2.50) while As and Ni were predicted with less accuracy (R(2) <0.75 and RPD <1.40). The pH values were well predicted by PVNIR. Classification of heavy metals contamination grades in farmland soils was conducted based on previous results; the Kappa coefficient was 0.87, which showed that the combination of PXRF and PVNIR was an effective and rapid method to determine the degree of pollution with soil heavy metals. This study provides a new approach to assess soil heavy metals pollution; this method will facilitate large-scale surveys of soil heavy metal pollution. Public Library of Science 2017-02-24 /pmc/articles/PMC5325278/ /pubmed/28234944 http://dx.doi.org/10.1371/journal.pone.0172438 Text en © 2017 Hu et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Hu, Bifeng
Chen, Songchao
Hu, Jie
Xia, Fang
Xu, Junfeng
Li, Yan
Shi, Zhou
Application of portable XRF and VNIR sensors for rapid assessment of soil heavy metal pollution
title Application of portable XRF and VNIR sensors for rapid assessment of soil heavy metal pollution
title_full Application of portable XRF and VNIR sensors for rapid assessment of soil heavy metal pollution
title_fullStr Application of portable XRF and VNIR sensors for rapid assessment of soil heavy metal pollution
title_full_unstemmed Application of portable XRF and VNIR sensors for rapid assessment of soil heavy metal pollution
title_short Application of portable XRF and VNIR sensors for rapid assessment of soil heavy metal pollution
title_sort application of portable xrf and vnir sensors for rapid assessment of soil heavy metal pollution
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5325278/
https://www.ncbi.nlm.nih.gov/pubmed/28234944
http://dx.doi.org/10.1371/journal.pone.0172438
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