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Heavy metal contamination of selected mining fields in North-Central Nigeria
This study evaluates the causes, concentration and the associated health risks of selected heavy metals (HMs) in soil samples collected from beryllium and gold mining fields in Nigeria. The samples of soil were collected manually and analysed by means of Atomic Absorption Spectrophotometry (AAS). Se...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10173158/ https://www.ncbi.nlm.nih.gov/pubmed/37181849 http://dx.doi.org/10.1016/j.mex.2023.102201 |
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author | Orosun, Muyiwa Michael Inuyomi, Samuel Oluwagbenga Usikalu, Mojisola Rachael Okoro, Hussein Kehinde Louis, Hitler Omeje, Maxwell Ehinlafa, Emmanuel Olusegun Oyewumi, Kayode John |
author_facet | Orosun, Muyiwa Michael Inuyomi, Samuel Oluwagbenga Usikalu, Mojisola Rachael Okoro, Hussein Kehinde Louis, Hitler Omeje, Maxwell Ehinlafa, Emmanuel Olusegun Oyewumi, Kayode John |
author_sort | Orosun, Muyiwa Michael |
collection | PubMed |
description | This study evaluates the causes, concentration and the associated health risks of selected heavy metals (HMs) in soil samples collected from beryllium and gold mining fields in Nigeria. The samples of soil were collected manually and analysed by means of Atomic Absorption Spectrophotometry (AAS). Seventy-two (72) samples were analysed which presented varying degrees of concentration of the selected HMs. The analysed HMs are Chromium (Cr), Arsenic (As), Iron (Fe), Cadmium (Cd), Nickel (Ni), Manganese (Mn), Magnesium (Mg), Zinc (Zn), Copper (Cu) and Lead (Pb). Deterministic and stochastic approaches were explore to examine the human health risks. The evaluated Hazard Indices (HI) for the investigated mining locations are < 1, the recommended threshold provided by United State Environmental Protection Agency (USEPA) for acceptable non-cancer risk. The estimated cancer risk levels for the mining locations exceeds the acceptable range of 1.00E-6 and 1.00E-4. • Thus, the mining is making significant contribution to HMs pollution, which is dangerous human health. • However, the Monte Carlo simulation (MCS) reveals that the 95th, 50th and 5th percentiles of the cumulative probability of the cancer risks are within the acceptable range. • This work will be useful for decision makers in mitigating heavy metals contamination due to mining activities. |
format | Online Article Text |
id | pubmed-10173158 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-101731582023-05-12 Heavy metal contamination of selected mining fields in North-Central Nigeria Orosun, Muyiwa Michael Inuyomi, Samuel Oluwagbenga Usikalu, Mojisola Rachael Okoro, Hussein Kehinde Louis, Hitler Omeje, Maxwell Ehinlafa, Emmanuel Olusegun Oyewumi, Kayode John MethodsX Environmental Science This study evaluates the causes, concentration and the associated health risks of selected heavy metals (HMs) in soil samples collected from beryllium and gold mining fields in Nigeria. The samples of soil were collected manually and analysed by means of Atomic Absorption Spectrophotometry (AAS). Seventy-two (72) samples were analysed which presented varying degrees of concentration of the selected HMs. The analysed HMs are Chromium (Cr), Arsenic (As), Iron (Fe), Cadmium (Cd), Nickel (Ni), Manganese (Mn), Magnesium (Mg), Zinc (Zn), Copper (Cu) and Lead (Pb). Deterministic and stochastic approaches were explore to examine the human health risks. The evaluated Hazard Indices (HI) for the investigated mining locations are < 1, the recommended threshold provided by United State Environmental Protection Agency (USEPA) for acceptable non-cancer risk. The estimated cancer risk levels for the mining locations exceeds the acceptable range of 1.00E-6 and 1.00E-4. • Thus, the mining is making significant contribution to HMs pollution, which is dangerous human health. • However, the Monte Carlo simulation (MCS) reveals that the 95th, 50th and 5th percentiles of the cumulative probability of the cancer risks are within the acceptable range. • This work will be useful for decision makers in mitigating heavy metals contamination due to mining activities. Elsevier 2023-04-26 /pmc/articles/PMC10173158/ /pubmed/37181849 http://dx.doi.org/10.1016/j.mex.2023.102201 Text en © 2023 Published by Elsevier B.V. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Environmental Science Orosun, Muyiwa Michael Inuyomi, Samuel Oluwagbenga Usikalu, Mojisola Rachael Okoro, Hussein Kehinde Louis, Hitler Omeje, Maxwell Ehinlafa, Emmanuel Olusegun Oyewumi, Kayode John Heavy metal contamination of selected mining fields in North-Central Nigeria |
title | Heavy metal contamination of selected mining fields in North-Central Nigeria |
title_full | Heavy metal contamination of selected mining fields in North-Central Nigeria |
title_fullStr | Heavy metal contamination of selected mining fields in North-Central Nigeria |
title_full_unstemmed | Heavy metal contamination of selected mining fields in North-Central Nigeria |
title_short | Heavy metal contamination of selected mining fields in North-Central Nigeria |
title_sort | heavy metal contamination of selected mining fields in north-central nigeria |
topic | Environmental Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10173158/ https://www.ncbi.nlm.nih.gov/pubmed/37181849 http://dx.doi.org/10.1016/j.mex.2023.102201 |
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