ArticleScientific reports2024
Assessment of Carcinogenic and non-carcinogenic risk indices of heavy metal exposure in different age groups using Monte Carlo Simulation Approach.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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The trial behind it
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Who cites it
13 citing papers in PubMed.
- Article
- Article
- Turning waste into a resource: coal fly ash as a sustainable approach for heavy metal removal in contaminated waters.Water science and technology : a journal of the International Association on Water Pollution Research · 2026Article
- The source-based health risk assessment of toxic elements in soils from coal resource-depleted city.iScience · 2026Article
- Ecological and human health risks of metal contamination in sediments along Egypt Western Mediterranean coast.Scientific reports · 2026Article
- Probabilistic human health risk assessment of trace metal exposure in Australian homes: insights from a legacy industrial region.Environmental geochemistry and health · 2026Article
- Exposure to Heavy Metals Arsenic, Cadmium and Lead Exacerbates Carcinogenic and Noncarcinogenic Health Risks Among Diabetic and Hypertensive Patients.Journal of toxicology · 2026Article
- Toxic Trace Element Concentration in Commercially Available Cigarettes in Poland, Europe.Toxics · 2025Article
- Health risk assessment of potentially toxic elements in bread from Iranian markets using Monte Carlo simulation.Scientific reports · 2025Article
- Leveraging geographic information system for dengue surveillance: a scoping review.Tropical medicine and health · 2025Review
- Article
- Article
- Environmental Risk Assessment of Trace Metal Pollution: A Statistical Perspective.Environmental geochemistry and health · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dermal contact, ingestion and inhalation of heavy metal poses significant health risk in human subjects. The exposure could be via potable water, soil or air. The current experiment design focuses on soil media and exposure. Advanced probabilistic and geospatial methods are used in this study which evaluates contamination levels and health risks associated with iron (Fe), arsenic (As), zinc (Zn), copper (Cu), nickel (Ni), chromium (Cr), lead (Pb), and cadmium (Cd) in soil samples. The samples were collected and analysed using ICP-OES after tri-acid digestion, and indices such as Geoaccumulation Index (Igeo), Contamination Factor (CF), Pollution Load Index (PLI), Hazard Quotient (HQ), Hazard Index (HI), and Carcinogenic Risk (CR) were used to assess environmental impacts and health risks across the age groups via oral ingestion, inhalation and dermal contact. The current study indicates heavy metal concentrations follow the order Ni > Zn > Pb > Cu > Cr > As > Cd, with more than 60% of samples demonstrating significant pollution levels. The computational method used in the study revealed substantial non carcinogenic risk (HQ > 1) and carcinogenic risk (33%) in the population related to As exposure. Geospatial analysis and Monte Carlo simulations helped in identifying the hotspots in the tropical coastal area emphasizing need for targeted remediation focusing on As and Pb.
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