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Health risk assessment of potentially toxic elements intake via food crops consumption: Monte Carlo simulation-based probabilistic and heavy metal pollution index

sanaei, fatemeh ; amin, mohammad mehdi ; Pourjam Alavijeh, Zhaleh LU ; azaripour esfahani, rana ; sadeghi, maryam ; shabankare bandarrig, niayesh ; fatehizadeh, ali ; taheri, ensiyeh and rezakazemi, mashallah (2021) In Environmental Science and Pollution Research 28. p.1479-1490
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... (More)
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 (Less)
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publishing date
type
Contribution to journal
publication status
published
subject
keywords
dietary intake, Heavy metals, heavy metals pollution index, Probabilistic risk assessment
in
Environmental Science and Pollution Research
volume
28
pages
1479 - 1490
publisher
Springer
external identifiers
  • scopus:85089856846
ISSN
0944-1344
DOI
10.1007/s11356-020-10450-7
language
English
LU publication?
no
additional info
Sanaei, F., Amin, M.M., Alavijeh, Z.P. et al. Health risk assessment of potentially toxic elements intake via food crops consumption: Monte Carlo simulation-based probabilistic and heavy metal pollution index. Environ Sci Pollut Res 28, 1479–1490 (2021). https://doi.org/10.1007/s11356-020-10450-7
id
ca7f7c1e-9957-4dea-b229-789c5e9f00c5
date added to LUP
2025-01-14 12:12:28
date last changed
2025-04-04 14:07:35
@article{ca7f7c1e-9957-4dea-b229-789c5e9f00c5,
  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}},
  author       = {{sanaei, fatemeh and amin, mohammad mehdi and Pourjam Alavijeh, Zhaleh and azaripour esfahani, rana and sadeghi, maryam and shabankare bandarrig, niayesh and fatehizadeh, ali and taheri, ensiyeh and rezakazemi, mashallah}},
  issn         = {{0944-1344}},
  keywords     = {{dietary intake; Heavy metals; heavy metals pollution index; Probabilistic risk assessment}},
  language     = {{eng}},
  pages        = {{1479--1490}},
  publisher    = {{Springer}},
  series       = {{Environmental Science and Pollution Research}},
  title        = {{Health risk assessment of potentially toxic elements intake via food crops consumption: Monte Carlo simulation-based probabilistic and heavy metal pollution index}},
  url          = {{http://dx.doi.org/10.1007/s11356-020-10450-7}},
  doi          = {{10.1007/s11356-020-10450-7}},
  volume       = {{28}},
  year         = {{2021}},
}