Baseline Environmental Contamination Data and Model-based Screening of Children's Exposure-Risk Estimates from Metal(loid)-laden Vegetables and Soils

Abstract Potentially toxic metal(loid) contamination of agricultural environments may pose serious public health concerns, particularly for children. This study assessed contamination of agricultural soils, irrigation water, and commonly consumed vegetables in Kasese District, Uganda, an area influenced by mining and industrial activities. Agricultural soils (n = 9 composite samples), point-source irrigation water (n = 1), and vegetables (onion, cabbage, and amaranth; n = 36 composite samples) were analysed for 14 potentially toxic elements (PTEs) using Inductively Coupled Plasma Optical Emission Spectroscopy. Age-specific health risks for children were evaluated using the Agency for Toxic Substances and Disease Registry’s Public Health Assessment Site Tool and complemented with Monte Carlo simulation (10,000 iterations) to account for exposure variability and uncertainty. Mean concentrations of arsenic (1.780–3.569 mg/kg), lead (2.017–9.670 mg/kg), mercury (0.025–0.700 mg/kg), nickel (0.523–3.655 mg/kg), and chromium (0.043–2.043 mg/kg) frequently exceeded recommended limits. Hazard index values were greater than one, indicating significant non-carcinogenic health risks. Deterministic cancer risk (6.4 × 10⁻⁴–2.1 × 10⁻³) and probabilistic estimates (5.79 × 10⁻⁴–3.86 × 10⁻³) exceeded acceptable priority screening thresholds (10⁻⁶–10⁻⁴), with arsenic and nickel as dominant contributors to probabilistic cancer-risk variability. However, the study is based on a single sampling campaign, and the exposure model relies partly on default parameters; therefore, the risk estimates should be interpreted as screening-level estimates rather than population-level incidence predictions. The findings support expanded spatial and seasonal monitoring, improved characterisation of dietary exposure and contaminant speciation, and targeted food-safety and agricultural risk-management interventions in the Mubuku irrigation scheme.

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Publication Details

Journal
Toxicological Sciences
Published
2026-09-29
DOI
https://doi.org/10.1093/toxsci/kfag132
Primary Topic
Heavy metals in environment
Type
article
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article

Baseline Environmental Contamination Data and Model-based Screening of Children's Exposure-Risk Estimates from Metal(loid)-laden Vegetables and Soils

Emmanuel Oluwaseun Ademilusi, Modinat Adebukola Adefisayo, Godswill James Udom, Rashid Iqbal et al.
Toxicological Sciences
Heavy metals in environment
article

Baseline Environmental Contamination Data and Model-based Screening of Children's Exposure-Risk Estimates from Metal(loid)-laden Vegetables and Soils

Emmanuel Oluwaseun Ademilusi, Modinat Adebukola Adefisayo, Godswill James Udom, Rashid Iqbal, Muyiwa Micheal Orosun, Brian Turyahabwe, Kamola Zaynalova, Nafisakhon Mamatova, Aseel Smerat, Ibrahim Mahariq
article en

Abstract

Abstract Potentially toxic metal(loid) contamination of agricultural environments may pose serious public health concerns, particularly for children. This study assessed contamination of agricultural soils, irrigation water, and commonly consumed vegetables in Kasese District, Uganda, an area influenced by mining and industrial activities. Agricultural soils (n = 9 composite samples), point-source irrigation water (n = 1), and vegetables (onion, cabbage, and amaranth; n = 36 composite samples) were analysed for 14 potentially toxic elements (PTEs) using Inductively Coupled Plasma Optical Emission Spectroscopy. Age-specific health risks for children were evaluated using the Agency for Toxic Substances and Disease Registry’s Public Health Assessment Site Tool and complemented with Monte Carlo simulation (10,000 iterations) to account for exposure variability and uncertainty. Mean concentrations of arsenic (1.780–3.569 mg/kg), lead (2.017–9.670 mg/kg), mercury (0.025–0.700 mg/kg), nickel (0.523–3.655 mg/kg), and chromium (0.043–2.043 mg/kg) frequently exceeded recommended limits. Hazard index values were greater than one, indicating significant non-carcinogenic health risks. Deterministic cancer risk (6.4 × 10⁻⁴–2.1 × 10⁻³) and probabilistic estimates (5.79 × 10⁻⁴–3.86 × 10⁻³) exceeded acceptable priority screening thresholds (10⁻⁶–10⁻⁴), with arsenic and nickel as dominant contributors to probabilistic cancer-risk variability. However, the study is based on a single sampling campaign, and the exposure model relies partly on default parameters; therefore, the risk estimates should be interpreted as screening-level estimates rather than population-level incidence predictions. The findings support expanded spatial and seasonal monitoring, improved characterisation of dietary exposure and contaminant speciation, and targeted food-safety and agricultural risk-management interventions in the Mubuku irrigation scheme.

Toxicological Sciences
Al-Ahliyya Amman University (JO), Andijan State University (UZ), University of Ilorin (NG), Azerbaijan State Oil and Industry University (AZ), Federal University of Technology (NG), China Medical University (TW), Kampala International University (UG), China Medical University Hospital (TW), Kimyo International University in Tashkent (UZ), Federal University Oye Ekiti (NG), Fukushima University (JP), Olusegun Agagu University of Science and Technology (NG)
Zero hunger
Openalex Percentile: Top 23%
Heavy metals in environment
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