{"title":"Health risk assessment of heavy metals in drinking water reservoirs of Yasuj Iran using Monte Carlo simulation and sensitivity analysis","authors":"Saeid Fallahizadeh , Seyed Nouredin Hosseini gousheh , Amin Hossaini motlagh , Mohammadreza Zarei , Negin Rahimi , Seyed Abdolmohammad Sadat","doi":"10.1016/j.jfca.2025.108398","DOIUrl":null,"url":null,"abstract":"<div><div>Heavy metals (HMs) in drinking water are a health hazard to humans as they induce a variety of diseases. In this study, the concentrations of HMs (As, Cd, Pb, Hg, Cu, and Zn) in 24 water samples collected from eight reservoirs of Yasuj (Iran) were analyzed using an inductively coupled plasma mass spectrometry. Potential carcinogenic and non-carcinogenic health risks due to the ingestion of HMs in the water samples were also assessed estimating hazard quotient (HQ), hazard index (HI) and cancer risk (CR). The average concentrations (μg/L) of HMs were found to be 2.53 (As), 0.33 (Cd), 13.94 (Cu), 2.97 (Pb), 0.99 (Hg), and 258.65 (Zn). All HMs had HQ values under 1 for all age categories, but the average value of HI estimated for infants was above safety limits at 1.21. The average values of CRs were estimated as 2.18 × 10<sup>−4</sup> (As) and 1.13 × 10<sup>−4</sup> (Cd). Monte Carlo simulation showed that HM concentrations are mostly acceptable, but that infants are in considerable health jeopardy. The study thus calls for continuous monitoring and risk mitigation measures to protect these vulnerable sections against the prospective long-haul impacts of heavy metal exposure via drinking water.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"148 ","pages":"Article 108398"},"PeriodicalIF":4.6000,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Food Composition and Analysis","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0889157525012141","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
Heavy metals (HMs) in drinking water are a health hazard to humans as they induce a variety of diseases. In this study, the concentrations of HMs (As, Cd, Pb, Hg, Cu, and Zn) in 24 water samples collected from eight reservoirs of Yasuj (Iran) were analyzed using an inductively coupled plasma mass spectrometry. Potential carcinogenic and non-carcinogenic health risks due to the ingestion of HMs in the water samples were also assessed estimating hazard quotient (HQ), hazard index (HI) and cancer risk (CR). The average concentrations (μg/L) of HMs were found to be 2.53 (As), 0.33 (Cd), 13.94 (Cu), 2.97 (Pb), 0.99 (Hg), and 258.65 (Zn). All HMs had HQ values under 1 for all age categories, but the average value of HI estimated for infants was above safety limits at 1.21. The average values of CRs were estimated as 2.18 × 10−4 (As) and 1.13 × 10−4 (Cd). Monte Carlo simulation showed that HM concentrations are mostly acceptable, but that infants are in considerable health jeopardy. The study thus calls for continuous monitoring and risk mitigation measures to protect these vulnerable sections against the prospective long-haul impacts of heavy metal exposure via drinking water.
期刊介绍:
The Journal of Food Composition and Analysis publishes manuscripts on scientific aspects of data on the chemical composition of human foods, with particular emphasis on actual data on composition of foods; analytical methods; studies on the manipulation, storage, distribution and use of food composition data; and studies on the statistics, use and distribution of such data and data systems. The Journal''s basis is nutrient composition, with increasing emphasis on bioactive non-nutrient and anti-nutrient components. Papers must provide sufficient description of the food samples, analytical methods, quality control procedures and statistical treatments of the data to permit the end users of the food composition data to evaluate the appropriateness of such data in their projects.
The Journal does not publish papers on: microbiological compounds; sensory quality; aromatics/volatiles in food and wine; essential oils; organoleptic characteristics of food; physical properties; or clinical papers and pharmacology-related papers.