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中国宁夏北部工业地区居民日常饮食中有毒金属的确定性和概率性健康风险评估。

Deterministic and Probabilistic Health Risk Assessment of Toxic Metals in the Daily Diets of Residents in Industrial Regions of Northern Ningxia, China.

机构信息

School of Public Health and Management, Ningxia Medical University, Yinchuan, 750004, China.

Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan, 750004, China.

出版信息

Biol Trace Elem Res. 2023 Sep;201(9):4334-4348. doi: 10.1007/s12011-022-03538-3. Epub 2023 Jan 9.


DOI:10.1007/s12011-022-03538-3
PMID:36622522
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10350440/
Abstract

This study was designed to investigate the toxic metal (aluminum (Al), arsenic (As), chromium (Cr), cadmium (Cd), copper (Cu), nickel (Ni), lead (Pb), and zinc (Zn)) concentrations in drinking water and different foodstuffs meat (pork, beef, and mutton), cereals (rice, flour, corn, millet), beans (cowpeas, tofu), potatoes (potato, sweet potato), solanaceous fruits (pepper, eggplant, bitter gourd, cucumber), vegetables (cabbage, cauliflower, spinach), and fruits (apples, watermelons, pears, grapes)) and then estimate the potential health risks of toxic metal consumption to local residents in industrial regions of northern Ningxia, China. As in drinking water, Cr in meat, Pb in cereals, Pb in beans, As and Pb in potatoes, Pb in solanaceous fruits, Cr and Ni in vegetables, and Ni and Pb in fruits were the most contaminated heavy metals in the corresponding food with over-standard rates of 16.7%, 12.5%, 5.1%, 60%, 50%, 50%, 38.2%, 44.4%, 44.4%, 31.8%, and 31.8%, respectively.The results of the deterministic assessment of health risks showed that the total noncarcinogenic risk value of dietary intake of toxic metals by the local population was 5.6106, indicating that toxic metals pose a high noncarcinogenic risk. The order of the non-carcinogenic risk is HI (1.2104) > HI (0.9134) > HI (0.8726) > HI (0.8170) > HI (0.7269) > HI (0.6139) > HI (0.2991) > HI (0.1573). The total carcinogenic health risk from exposure to toxic metals through dietary intake was 9.98 × 10, indicating that the total cancer risk value of residents is beyond the acceptable range (10) under the current daily dietary exposure and implies a high risk of cancer. The order of the carcinogenic risk is R (2.34 × 10) > R (2.11 × 10) > R (1.89 × 10) > R (1.88 × 10) > R (1.36 × 10) > R (2.44 × 10) > R (1.51 × 10) > R (0). The probabilistic assessment results showed that 98.83% of the population is exposed to severe noncarcinogenic risk and 87.02% is exposed to unacceptable carcinogenic risk. The sensitivity analysis showed that drinking water, local cereals, vegetables, and fruits were the major contributors to health risks. Our results indicated that the daily dietary exposure of residents in industrial regions of northern Ningxia poses a serious threat to human health, and it is suggested that relevant departments should strengthen monitoring and control of the current situation of toxic metal pollution in the environment and continue to pay attention and take measures to reduce the exposure of toxic metals in the diets of residents in this area.

摘要

本研究旨在调查中国北方宁夏工业地区饮用水和不同食物(肉类[猪肉、牛肉和羊肉]、谷物[大米、面粉、玉米、小米]、豆类[豇豆、豆腐]、土豆[土豆、红薯]、茄果类蔬菜[辣椒、茄子、苦瓜、黄瓜]、蔬菜[白菜、花椰菜、菠菜]和水果[苹果、西瓜、梨、葡萄])中有毒金属(铝(Al)、砷(As)、铬(Cr)、镉(Cd)、铜(Cu)、镍(Ni)、铅(Pb)和锌(Zn))的浓度,并评估当地居民通过饮食摄入有毒金属的潜在健康风险。与饮用水一样,肉类中的 Cr、谷物中的 Pb、豆类中的 Pb、土豆中的 As 和 Pb、茄果类蔬菜中的 Pb、蔬菜中的 Cr 和 Ni、以及水果中的 Ni 和 Pb 的污染程度最为严重,超标率分别为 16.7%、12.5%、5.1%、60%、50%、50%、38.2%、44.4%、44.4%、31.8%和 31.8%。基于确定性评估的健康风险结果表明,当地居民通过饮食摄入有毒金属的非致癌总风险值为 5.6106,表明有毒金属存在高非致癌风险。非致癌风险的顺序为 HI(1.2104)>HI(0.9134)>HI(0.8726)>HI(0.8170)>HI(0.7269)>HI(0.6139)>HI(0.2991)>HI(0.1573)。通过饮食摄入有毒金属导致的总致癌健康风险为 9.98×10,表明在当前的每日饮食暴露下,居民的总癌症风险值超过可接受范围(10),这意味着存在较高的癌症风险。致癌风险的顺序为 R(2.34×10)>R(2.11×10)>R(1.89×10)>R(1.88×10)>R(1.36×10)>R(2.44×10)>R(1.51×10)>R(0)。概率评估结果显示,98.83%的人群面临严重的非致癌风险,87.02%的人群面临不可接受的致癌风险。敏感性分析表明,饮用水、当地谷物、蔬菜和水果是健康风险的主要来源。研究结果表明,北方宁夏工业地区居民的日常饮食摄入对人类健康构成严重威胁,建议相关部门加强对环境中有毒金属污染现状的监测和控制,并持续关注和采取措施降低该地区居民饮食中有毒金属的暴露水平。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/793b/10350440/d86e305ac4a6/12011_2022_3538_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/793b/10350440/8a7504b5c49d/12011_2022_3538_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/793b/10350440/0c5182216eca/12011_2022_3538_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/793b/10350440/bcf377314b9d/12011_2022_3538_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/793b/10350440/d86e305ac4a6/12011_2022_3538_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/793b/10350440/8a7504b5c49d/12011_2022_3538_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/793b/10350440/0c5182216eca/12011_2022_3538_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/793b/10350440/bcf377314b9d/12011_2022_3538_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/793b/10350440/d86e305ac4a6/12011_2022_3538_Fig4_HTML.jpg

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本文引用的文献

[1]
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[2]
A systematic study on occurrence, risk estimation and health implications of heavy metals in potable water from different sources of Garhwal Himalaya, India.

Sci Rep. 2022-11-28

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