Evidence map›Paper›PMID 33328523›Full record

ArticleScientific reports2020

Monte Carlo approach to risks assessment of heavy metals at automobile spare part and recycling market in Ilorin, Nigeria.

Muyiwa Michael Orosun, Abayomi Daniel Adewuyi, Naheem Banji Salawu, Matthew Omoniyi Isinkaye, Olugbenga Rapheal Orosun, Adetola Sunday Oniku

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
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  13. Potential Risks of PMToxics · 2022
    Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Muyiwa Michael OrosunDepartment of Physics, University of Ilorin, Ilorin, Nigeria. muyiwaorosun@yahoo.com.ORCID 0000-0002-0236-3345
Abayomi Daniel AdewuyiDepartment of Physics, University of Ilorin, Ilorin, Nigeria.
Naheem Banji SalawuDepartment of Geophysics, Federal University Oye-Ekiti, Ekiti, Nigeria.ORCID 0000-0001-5089-2359
Matthew Omoniyi IsinkayeDepartment of Physics, Ekiti State University, Ado-Ekiti, Nigeria.ORCID 0000-0001-8173-0678
Olugbenga Rapheal OrosunDepartment of Electrical/Electronic Engineering, Bayero University, Kano, Nigeria.
Adetola Sunday OnikuDepartment of Physics, Modibbo Adama University of Technology, Yola, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study evaluates the sources and health risks associated with heavy metals in Ipata spare part market in Ilorin, Nigeria. Soil and water samples were collected within and outside the market for heavy metal (As, Pb, Mg, Mn, Cd, Cr, Cu, Zn, Fe and Ag) analysis using Atomic Absorption Spectrometry. The results indicate that all the heavy metals analyzed show higher concentration within the recycling market than the control location. The concentration of heavy metals at the market decreases with an increasing depth between 0 and 50 cm and appears to be stable below 50 cm of the soil depth. All the Hazard Indices (HI) estimated for the soil samples are less than one (< 1) which is the standard set by USEPA, whereas, the Hazard Index (HI) for the water samples within the station is greater than 1. The Incremental Lifetime Cancer Risk (ILCR) for soil samples ranged from level I to level V, while that of water samples ranged from level VI to Level VII based on Delphii method of classification. This shows that the main lifetime cancer risk occurs through the water exposure pathway. Similarly, according to the mean, P5% and P95% cumulative probability using the Monte Carlo simulation, the ILCR is above the acceptable range of 1.00E-6 and 1.00E-4. All the pollution indices reveal that the significant pollution at the park is more of anthropogenic than pedogenic and lithogenic. Therefore, the market is contributing immensely to environmental pollution which may lead to unforeseen danger to human health.

Identifiers

PMID33328523
PMCPMC7744530

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.