Evaluating levels and health risk of heavy metals in exposed workers from surgical instrument manufacturing industries of Sialkot, Pakistan
文献类型:期刊论文
作者 | Junaid, Muhammad1,2,3; Hashmi, Muhammad Zaffar4; Malik, Riffat Naseem1 |
刊名 | ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
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出版日期 | 2016-09-01 |
卷号 | 23期号:18页码:18010-18026 |
关键词 | Heavy metals Surgical industry Biological monitoring Health risk assessment Oxidative stress Dust |
ISSN号 | 0944-1344 |
DOI | 10.1007/s11356-016-6849-0 |
通讯作者 | Malik, RN (reprint author), Quaid I Azam Univ, Fac Biol Sci, Dept Environm Sci, Environm Biol & Ecotoxicol Lab, Islamabad, Pakistan. |
英文摘要 | The study aimed to monitor heavy metal (chromium, Cr; cadmium, Cd; nickel, Ni; copper, Cu; lead, Pb; iron, Fe; manganese, Mn; and zinc, Zn) footprints in biological matrices (urine, whole blood, saliva, and hair), as well as in indoor industrial dust samples, and their toxic effects on oxidative stress and health risks in exposed workers. Overall, blood, urine, and saliva samples exhibited significantly higher concentrations of toxic metals in exposed workers (Cr; blood 16.30 mu g/L, urine 58.15 mu g/L, saliva 5.28 mu g/L) than the control samples (Cr; blood 5.48 mu g/L, urine 4.47 mu g/L, saliva 2.46 mu g/L). Indoor industrial dust samples also reported to have elevated heavy metal concentrations, as an example, Cr quantified with concentration of 299 mg/kg of dust, i.e., more than twice the level of Cr in household dust (136 mg/kg). Superoxide dismutase (SOD) level presented significant positive correlation (p <= 0.01) with Cr, Zn, and Cd (Cr > Zn > Cd) which is an indication of heavy metal's associated raised oxidative stress in exposed workers. Elevated average daily intake (ADI) of heavy metals resulted in cumulative hazard quotient (HQ) range of 2.97-18.88 in workers of different surgical units; this is an alarming situation of health risk implications. Principal component analysis-multiple linear regression (PCA-MLR)-based pie charts represent that polishing and cutting sections exhibited highest metal inputs to the biological and environmental matrices than other sources. Heavy metal concentrations in biological matrices and dust samples showed a significant positive correlation between Cr in dust, urine, and saliva samples. Current study will help to generate comprehensive base line data of heavy metal status in biomatrices and dust from scientifically ignored industrial sector. Our findings can play vital role for health departments and industrial environmental management system (EMS) authorities in policy making and implementation. |
资助项目 | TWAS-COMSTECH Research Grant[15-384 RG/ENG/AS_C] ; HEC Start Up Research Grant[21-700/SRGP/RD/HEC/2015] |
WOS研究方向 | Environmental Sciences & Ecology |
语种 | 英语 |
WOS记录号 | WOS:000384435800012 |
出版者 | SPRINGER HEIDELBERG |
源URL | [http://119.78.100.138/handle/2HOD01W0/2846] ![]() |
专题 | 中国科学院重庆绿色智能技术研究院 |
通讯作者 | Malik, Riffat Naseem |
作者单位 | 1.Quaid I Azam Univ, Fac Biol Sci, Dept Environm Sci, Environm Biol & Ecotoxicol Lab, Islamabad, Pakistan 2.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Res Ctr Environm & Hlth, Chongqing 401122, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.COMSATS Inst Informat Technol Islamabad, Div Atmospher Chem, Dept Meteorol, Islamabad, Pakistan |
推荐引用方式 GB/T 7714 | Junaid, Muhammad,Hashmi, Muhammad Zaffar,Malik, Riffat Naseem. Evaluating levels and health risk of heavy metals in exposed workers from surgical instrument manufacturing industries of Sialkot, Pakistan[J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,2016,23(18):18010-18026. |
APA | Junaid, Muhammad,Hashmi, Muhammad Zaffar,&Malik, Riffat Naseem.(2016).Evaluating levels and health risk of heavy metals in exposed workers from surgical instrument manufacturing industries of Sialkot, Pakistan.ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,23(18),18010-18026. |
MLA | Junaid, Muhammad,et al."Evaluating levels and health risk of heavy metals in exposed workers from surgical instrument manufacturing industries of Sialkot, Pakistan".ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH 23.18(2016):18010-18026. |
入库方式: OAI收割
来源:重庆绿色智能技术研究院
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