Assessment of internal exposure risk from metals pollution of occupational and non-occupational populations around a non-ferrous metal smelting plant

被引:8
作者
Wu, Yingjun [1 ,2 ]
Qi, Mengdie [1 ,2 ]
Yu, Hang [1 ,2 ]
Li, Guiying [1 ,2 ]
An, Taicheng [1 ,2 ]
机构
[1] Guangdong Univ Technol, Inst Environm Hlth & Pollut Control, Guangdong Key Lab Environm Catalysis & Hlth Risk, Guangdong Hong Kong Macao Joint Lab Contaminants, Guangzhou 510006, Peoples R China
[2] Guangdong Univ Technol, Sch Environm Sci & Engn, Guangzhou Key Lab Environm Catalysis & Pollut Cont, Key Lab City Cluster Environm Safety & Green Dev, Guangzhou 510006, Peoples R China
来源
JOURNAL OF ENVIRONMENTAL SCIENCES | 2025年 / 147卷
关键词
Arsenic metabolites; Metal(loid)s; Non-ferrous metal smelting; Human biomonitoring; Exposure; Urine; HEAVY-METALS; SOURCE APPORTIONMENT; CHINA IMPLICATIONS; SPECIATION; ARSENITE; METHYLTRANSFERASE; METHYLATION; METABOLITES; LEVEL; SOIL;
D O I
10.1016/j.jes.2023.10.003
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Non-ferrous metal smelting poses significant risks to public health. Specifically, the copper smelting process releases arsenic, a semi -volatile metalloid, which poses an emerging exposure risk to both workers and nearby residents. To comprehensively understand the internal exposure risks of metal(loid)s from copper smelting, we explored eighteen metal(loid)s and arsenic metabolites in the urine of both occupational and non -occupational populations using inductively coupled plasma mass spectrometry with high-performance liquid chromatography and compared their health risks. Results showed that zinc and copper (485.38 and 14.00 mu g/L), and arsenic, lead, cadmium, vanadium, tin and antimony (46.80, 6.82, 2.17, 0.40, 0.44 and 0.23 mu g/L, respectively) in workers ( n = 179) were significantly higher compared to controls ( n = 168), while Zinc, tin and antimony (412.10, 0.51 and 0.15 mu g/L, respectively) of residents were significantly higher than controls. Additionally, workers had a higher monomethyl arsenic percentage (MMA%), showing lower arsenic methylation capacity. Source appointment analysis identified arsenic, lead, cadmium, antimony, tin and thallium as co -exposure metal(loid)s from copper smelting, positively relating to the age of workers. The hazard index (HI) of workers exceeded 1.0, while residents and control were approximately at 1.0. Besides, all three populations had accumulated cancer risks exceeding 1.0 x 10-4, and arsenite (AsIII) was the main contributor to the variation of workers and residents. Furthermore, residents living closer to the smelting plant had higher health risks. This study reveals arsenic exposure metabolites and multiple metals as emerging contaminants for copper smelting exposure populations, providing valuable insights for pollution control in non-ferrous metal smelting. (c) 2024 The Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences. Published by Elsevier B.V.
引用
收藏
页码:62 / 73
页数:12
相关论文
共 55 条
[1]  
Agency for Toxic Substances and Disease Registry, 2022, Substance Priority List
[2]   Identifying sources and transport routes of heavy metals in soil with different land uses around a smelting site by GIS based PCA and PMF [J].
Anaman, Richmond ;
Peng, Chi ;
Jiang, Zhichao ;
Liu, Xu ;
Zhou, Ziruo ;
Guo, Zhaohui ;
Xiao, Xiyuan .
SCIENCE OF THE TOTAL ENVIRONMENT, 2022, 823
[3]   A mass-balance approach to evaluate arsenic intake and excretion in different populations [J].
Beene, Daniel ;
Collender, Philip ;
Cardenas, Andres ;
Harvey, Charles ;
Huhmann, Linden ;
Lin, Yan ;
Lewis, Johnnye ;
LoIacono, Nancy ;
Navas-Acien, Ana ;
Nigra, Anne ;
Steinmaus, Craig ;
van Geen, Alexander .
ENVIRONMENT INTERNATIONAL, 2022, 166
[4]   Natural Mercury Isotope Variation in Coal Deposits and Organic Soils [J].
Biswas, Abir ;
Blum, Joel D. ;
Bergquist, Bridget A. ;
Keeler, Gerald J. ;
Xie, Zhouqing .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2008, 42 (22) :8303-8309
[5]   Distribution and health risk assessment to heavy metals near smelting and mining areas of Hezhang, China [J].
Briki, Meryem ;
Zhu, Yi ;
Gao, Yang ;
Shao, Mengmeng ;
Ding, Huaijian ;
Ji, Hongbing .
ENVIRONMENTAL MONITORING AND ASSESSMENT, 2017, 189 (09)
[6]   Heavy metal contamination and health risk assessment for children near a large Cu-smelter in central China [J].
Cai, Li-Mei ;
Wang, Qiu-Shuang ;
Luo, Jie ;
Chen, Lai-Guo ;
Zhu, Run-Liang ;
Wang, Shuo ;
Tang, Cui-Hua .
SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 650 :725-733
[7]   Organophosphate ester and phthalate ester metabolites in urine from primiparas in Shenzhen, China: Implications for health risks [J].
Chen, Yi ;
Jiang, Lei ;
Lu, Shaoyou ;
Kang, Li ;
Luo, Xianru ;
Liu, Guihua ;
Cui, Xinyi ;
Yu, Yingxin .
ENVIRONMENTAL POLLUTION, 2019, 247 :944-952
[8]   A review of lead-free solders for electronics applications [J].
Cheng, Shunfeng ;
Huang, Chien-Ming ;
Pecht, Michael .
MICROELECTRONICS RELIABILITY, 2017, 75 :77-95
[9]   Arsenic Levels and Speciation from Ingestion Exposures to Biomarkers in Shanxi, China: Implications for Human Health [J].
Cui, Jinli ;
Shi, Jianbo ;
Jiang, Guibin ;
Jing, Chuanyong .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2013, 47 (10) :5419-5424
[10]   New directions: Beyond sulphur, vanadium and nickel - About source apportionment of ship emissions in emission control areas [J].
Czech, Hendryk ;
Schnelle-Kreis, Juergen ;
Streibel, Thorsten ;
Zimmermann, Ralf .
ATMOSPHERIC ENVIRONMENT, 2017, 163 :190-191