Health risk assessment of potentially toxic elements intake via food crops consumption: Monte Carlo simulation-based pro
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RESEARCH ARTICLE
Health risk assessment of potentially toxic elements intake via food crops consumption: Monte Carlo simulation-based probabilistic and heavy metal pollution index Fatemeh Sanaei 1,2 & Mohammad Mehdi Amin 1,3 & Zhaleh Pourjam Alavijeh 1,2 & Rana Azaripour Esfahani 1,2 & Maryam Sadeghi 1,2 & Niayesh Shabankare Bandarrig 1,2 & Ali Fatehizadeh 1,3 & Ensiyeh Taheri 1,3 & Mashallah Rezakazemi 4 Received: 27 June 2020 / Accepted: 9 August 2020 # Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract The aim of this study is to assess the content of heavy metals and their potential health risk in consumed food crops. To this end, the samples from vegetables, rice, potato, onion, and black tea were derived from high sales and commonly consumed types. The noncarcinogenic health risk of heavy metals to the adults, teens, and children was estimated by target hazard quotients (THQs) and hazard index (HI) calculation. Sensitivity and uncertainty analyses were carried out using Monte Carlo simulations. Heavy metal pollution index (HMI) was used for ranking noncarcinogenic heavy metal pollution in sampled food crops. THQs showed that noncarcinogenic health risks to the local population were largely related to As (0.71 for adults, 0.87 for teens, and 2.4 for children), Mn (0.43 for adults, 0.28 for teens, and 0.64 for children), and Mo (0.12 for adults, 0.02 for teens, and 0.4 for children). HI for individual food crops (HIΣfi) in terms of different populations showed that the highest HIΣfi was for children while the highest HIΣTea was for adults. The arrangement of the calculated HIΣfi along with its highest value was in the order of HIΣRice (3.71) > HIΣTea (0.39) > HIΣBeans (0.2) > HIΣVegetables (0.13) > HIΣOnion (0.12) > HIΣPotato (0.11). The value of HI for all sampled food crops based on their daily ingestion rate achieved by deterministic and probabilistic (Monte Carlo simulations) approaches for adults, teens, and children was 1.63, 1.28, and 1.87, 1.67, 4.51, and 2.48 respectively, and revealed that all populations are vulnerable to the significant noncarcinogenic health risks and children are at more risk. The sensitivity analysis revealed that the ingestion rate (IR) is the most influential factor that contributed to the total risk. The determined HMI showed no heavy metal pollution for all food crops, and rice had higher-order in HMI ranking. These results showed that heavy metals exposure due to food ingestion is a threat to human health and needs choosing a proper strategy to reduce heavy metal exposure. Keywords Dietary intake . Food crops . Heavy metal pollution index . Heavy metal . Probabilistic risk assessment
Responsible Editor: Lotfi Aleya * Ensiyeh Taheri [email protected] * Mashallah Rezakazemi [email protected] 1
Department of Environmental Health Engineering, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran
2
Student Research Committee, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran
3
Environment Research
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