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

IF 5.2 3区 医学 Q2 TOXICOLOGY
Brian Turyahabwe, Godswill J Udom, Modinat A Adefisayo, Muyiwa M Orosun, Emmanuel O Ademilusi, Rashid Iqbal, Kamola Zaynalova, Nafisakhon Mamatova, Ibrahim Mahariq, Aseel Smerat
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引用次数: 0

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.

基线环境污染数据和基于模型的儿童从含金属蔬菜和土壤中暴露风险评估筛选。
农业环境中潜在的有毒金属污染可能造成严重的公共卫生问题,特别是对儿童。这项研究评估了受采矿和工业活动影响的乌干达卡塞塞地区农业土壤、灌溉水和常见蔬菜的污染情况。采用电感耦合等离子体发射光谱法对农业土壤(n = 9个复合样品)、点源灌溉水(n = 1)和蔬菜(n = 36个复合样品)中的14种潜在有毒元素(pte)进行了分析。使用有毒物质和疾病登记处的公共卫生评估现场工具对儿童特定年龄的健康风险进行了评估,并辅以蒙特卡罗模拟(10,000次迭代),以考虑暴露的可变性和不确定性。砷(1.780-3.569毫克/公斤)、铅(2.017-9.670毫克/公斤)、汞(0.025-0.700毫克/公斤)、镍(0.523-3.655毫克/公斤)和铬(0.043-2.043毫克/公斤)的平均浓度经常超过建议限值。危害指数大于1,表明存在显著的非致癌性健康风险。确定性癌症风险(6.4 × 10⁻⁴-2.1 × 10⁻³)和概率估计(5.79 × 10⁻⁴-3.86 × 10⁻³)超过了可接受的优先筛选阈值(10⁻⁶-10⁻⁴),砷和镍是癌症风险变异概率的主要因素。然而,这项研究是基于单一的采样活动,暴露模型部分依赖于默认参数;因此,风险估计应该被解释为筛查水平的估计,而不是人群水平的发病率预测。研究结果支持在Mubuku灌溉计划中扩大空间和季节监测,改进饮食暴露和污染物形态特征,以及有针对性的食品安全和农业风险管理干预措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Toxicological Sciences
Toxicological Sciences 医学-毒理学
CiteScore
7.70
自引率
7.90%
发文量
118
审稿时长
1.5 months
期刊介绍: The mission of Toxicological Sciences, the official journal of the Society of Toxicology, is to publish a broad spectrum of impactful research in the field of toxicology. The primary focus of Toxicological Sciences is on original research articles. The journal also provides expert insight via contemporary and systematic reviews, as well as forum articles and editorial content that addresses important topics in the field. The scope of Toxicological Sciences is focused on a broad spectrum of impactful toxicological research that will advance the multidisciplinary field of toxicology ranging from basic research to model development and application, and decision making. Submissions will include diverse technologies and approaches including, but not limited to: bioinformatics and computational biology, biochemistry, exposure science, histopathology, mass spectrometry, molecular biology, population-based sciences, tissue and cell-based systems, and whole-animal studies. Integrative approaches that combine realistic exposure scenarios with impactful analyses that move the field forward are encouraged.
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