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

Brian TuryahabweKampala International University Department of Pharmacology and Toxicology, School of Pharmacy, , Western Campus, Bushenyi,Godswill J. UdomFederal University Oye-Ekiti Department of Pharmacology and Toxicology, Faculty of Pharmacy, , PMB 373, Oye-Ekiti,Modinat Adebukola AdefisayoFederal University of Technology Department of Physiology, School of Basic Medical Sciences, , Akure. Ondo State,Muyiwa Micheal OrosunFukushima University Institute of Environmental Radioactivity, ,Emmanuel Oluwaseun AdemilusiUniversity of Medical Sciences Department of Physiology, , Ondo,Rashid IqbalAzerbaijan State Oil and Industry University Sustainable Development Research Centre, , Baku, AzerbaijanKamola ZaynalovaKimyo International University in Tashkent, Shota Rustaveli Str. 156, Tashkent 100121, UzbekistanNafisakhon MamatovaAndijan State University , Universitet Str. 129, Andijan 170100, UzbekistanIbrahim MahariqCorrespond University College, Korea University , Seoul 02481, SouthAseel SmeratHourani Centre for Applied Scientific Research, Al-Ahliyya Amman University , Amman 19328,
2026en

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Annotatsiya

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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