Probabilistic health risk assessment of heavy metals in rice produced in Mazandaran province, Iran

被引:8
|
作者
Niknejad, Hadi [1 ]
Bandpei, Behnam Esbakian [2 ]
Sarvestani, Roghayeh Abedi [1 ]
Mohseni-Bandpei, Anoushiravan [2 ,3 ]
Saeedi, Reza [4 ]
Abtahi, Mehrnoosh [1 ]
Borujeni, Fathollah Gholami- [5 ,6 ]
机构
[1] Shahid Beheshti Univ Med Sci, Sch Publ Hlth & Safety, Dept Environm Hlth Engn, Tehran, Iran
[2] Shahid Beheshti Univ Med Sci, Sch Publ Hlth & Safety, Dept Hlth Emergencies & Disasters, Tehran, Iran
[3] Shahid Beheshti Univ Med Sci, Environm & Occupat Hazards Control Res Ctr, Tehran, Iran
[4] Shahid Beheshti Univ Med Sci, Sch Publ Hlth & Safety, Dept Hlth Safety & Environm HSE, Tehran, Iran
[5] Mazandaran Univ Med Sci, Fac Hlth, Dept Environm Hlth Engn, Sari, Iran
[6] Mazandaran Univ Med Sci, Hlth Sci Res Ctr, Dept Environm Hlth Engn, Sari, Iran
关键词
Risk assessment; Heavy metals; Monte Carlo simulation; Rice; Mazandaran; TOXIC METALS; ORYZA-SATIVA; NATIONAL-HEALTH; POTENTIAL RISK; FOOD CROPS; CADMIUM; LEAD; CONSUMPTION; UNCERTAINTY; POLLUTANTS;
D O I
10.1016/j.jfca.2024.106068
中图分类号
O69 [应用化学];
学科分类号
081704 ;
摘要
The purpose of this study was to assess the health risk of the heavy metals (HMs) (arsenic [As], cadmium [Cd], chromium [Cr], copper [Cu], iron [Fe], lead [Pb], Manganese [Mn], and zinc [Zn]) in rice produced in Mazandaran province (Amol and Mahmoudabad), Iran. A number of 60 rice samples were randomly collected and analyzed for the HMs by ICP-MS. The non -carcinogenic and carcinogenic health risks of the HMs were probabilistically assessed based on Monte Carlo simulation in terms of hazard quotient/index (HQ/HI) and incremental lifetime cancer risk (LTCR), respectively. The average concentration of HMs in rice grains in the studied areas was ranked as follows: Fe > Zn > Mn > Pb > Cu > Cr > As > Cd. THQ Sigma mi showed that noncarcinogenic risk for area residents was largely related to Pb (1.77), As (0.59), Fe (0.57) and Cr (0.41). The average HI values of the HMs in rice produced in Amol and Mahmoudabad were assessed to be 2.42 (1.10-4.14) and 1.91 (0.43-3.9), respectively. The average LTCR values of the HMs in rice were in the following order: Cd (3.46 x 10(-4 )[1.34 x 10(-4 )to 6.96 x 10(-4)] for Amol and 3.97 x 10(-4) [1.35 x 10(-4) to 9.57 x 10(-4)] for Mahmoudabad) > As (8.60 x 10(-5 )[1.47 x 10(-5) to 2.42 x 10(-4)] for Amol and 1.04 x 10(-4 )[6.17 x 10(-6) to 2.83 x 10(-4)] for Mahmoudabad) > Cr (5.71 x 10(-5 )[2.88 x 10(-5) to 9.61 x 10(-5)] for Amol and 4.75 x 10-5 [1.59 x 10(-5) to 8.69 x 10(-5)] for Mahmoudabad). The average total LTCR value of the HMs in rice was within the acceptable range (10(-6) to 10(-4)). The findings showed that exposure to the HMs via rice consumption could threaten human health, and an appropriate strategy to reduce concentrations of the HMs in rice is needed.
引用
收藏
页数:8
相关论文
共 50 条
  • [1] Health risk assessment of heavy metals in drinking water: a case study in western cities of Mazandaran province, Iran
    Niknejad, Hadi
    Saeedi, Reza
    Hosseini, Seyed Arman
    Sarvestani, Roghayeh Abedi
    Abtahi, Mehrnoosh
    Arani, Mohsen Hesami
    Babanezhad, Esmaeil
    Gholami-Borujeni, Fathollah
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL ANALYTICAL CHEMISTRY, 2024, 104 (18) : 7123 - 7138
  • [2] Health risk assessment of heavy metals in vegetables consumed in the central part of Mazandaran province
    Amouei, Abdoliman
    Naghibi, Elham Falahati
    Fallah, Hourieh
    Asgharnia, Hosseinali
    Khalilpour, Asieh
    Tabarinia, Hajar
    ENVIRONMENTAL HEALTH ENGINEERING AND MANAGEMENT JOURNAL, 2024, 11 (03): : 349 - 359
  • [3] Ecological and Probabilistic Health Risk Assessment of Heavy Metals in Topsoils, Southeast of Iran
    Hasanzadeh, Mahsa
    Malakootian, Mohammad
    Nasiri, Alireza
    Conti, Gea Oliveri
    Ferrante, Margherita
    Faraji, Maryam
    BULLETIN OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY, 2022, 108 (04) : 737 - 744
  • [4] Ecological and Probabilistic Health Risk Assessment of Heavy Metals in Topsoils, Southeast of Iran
    Mahsa Hasanzadeh
    Mohammad Malakootian
    Alireza Nasiri
    Gea Oliveri Conti
    Margherita Ferrante
    Maryam Faraji
    Bulletin of Environmental Contamination and Toxicology, 2022, 108 : 737 - 744
  • [5] Distributions of Heavy Metals in Rice and Corn and Their Health Risk Assessment in Guizhou Province
    Xu, Xiaomei
    Luo, Peng
    Li, Shanghang
    Zhang, Qinghai
    Sun, Dali
    BULLETIN OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY, 2022, 108 (05) : 926 - 935
  • [6] Distributions of Heavy Metals in Rice and Corn and Their Health Risk Assessment in Guizhou Province
    Xiaomei Xu
    Peng Luo
    Shanghang Li
    Qinghai Zhang
    Dali Sun
    Bulletin of Environmental Contamination and Toxicology, 2022, 108 : 926 - 935
  • [7] Concentration of heavy metals in canned tuna fish and probabilistic health risk assessment in Iran
    Sadighara, Parisa
    Mofid, Vahid
    Mahmudiono, Trias
    Rahmani, Anosheh
    Tajdar-Oranj, Behrouz
    Peivasteh-Roudsari, Leila
    Farhangfar, Azra
    Moradi, Mehran
    Fakhri, Yadolah
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL ANALYTICAL CHEMISTRY, 2024, 104 (08) : 1719 - 1729
  • [8] Spatial trend and probabilistic health risk assessment of heavy metals, nitrate, and fluoride in groundwater resources, West Azerbaijan province, Iran
    Moghaddam, Hamed Jahani
    Mohammadi, Amir
    Shakerkhatibi, Mohammad
    Sabeti, Zahra
    Mosaferi, Mohammad
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (53) : 114501 - 114513
  • [9] Spatial trend and probabilistic health risk assessment of heavy metals, nitrate, and fluoride in groundwater resources, West Azerbaijan province, Iran
    Hamed Jahani Moghaddam
    Amir Mohammadi
    Mohammad Shakerkhatibi
    Zahra Sabeti
    Mohammad Mosaferi
    Environmental Science and Pollution Research, 2023, 30 : 114501 - 114513
  • [10] Determination and health risk assessment of heavy metals in imported rice bran oil in Iran
    Mohajer, Afsaneh
    Baghani, Abbas Norouzian
    Sadighara, Parisa
    Ghanati, Kiandokht
    Nazmara, Shahrokh
    JOURNAL OF FOOD COMPOSITION AND ANALYSIS, 2020, 86