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Fu Y, Jia W, Zhang N, Wang Z, Zhang N, Wang T, Zhang N, Xu J, Yang X, Zhang Q, Li C, Zhang X, Yang W, Han B, Zhang L, Tang N, Bai Z. Sources, trigger points, and effect size of associations between PM 2.5-bound polycyclic aromatic hydrocarbons (PAHs) and fractional exhaled nitric oxide (FeNO): A panel study with 16 follow-up visits over 4 years. CHEMOSPHERE 2024; 360:142459. [PMID: 38810807 DOI: 10.1016/j.chemosphere.2024.142459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 05/03/2024] [Accepted: 05/25/2024] [Indexed: 05/31/2024]
Abstract
Exposure to fine particulate matter (PM2.5) is a significant concern for respiratory health. However, the sources, trigger points, and effect size of specific associations between PM2.5 components, particularly polycyclic aromatic hydrocarbons (PAHs) and the airway inflammatory marker fractional exhaled nitric oxide (FeNO) have not been fully explored. In this study, 69 healthy college students were enrolled and followed up 16 times from 2014 to 2018. Individual FeNO was measured and ambient air PM2.5 samples were collected for 7 consecutive days before each follow-up. PAHs were quantified using Gas Chromatography-Mass Spectrometry. Linear mixed-effect regression models were employed to evaluate the associations between PM2.5-bound PAHs and FeNO. Additionally, PMF (Positive Matrix Factorization) was utilized to identify sources of PM2.5-bound PAHs and assess their impact on FeNO. Throughout the study, the average (SD) of ΣPAHs concentrations was 78.50 (128.9) ng/m3. PM2.5 and PM2.5-bound PAHs were significantly associated with FeNO at various lag days. Single-day lag analyses revealed maximum effects of PM2.5 on FeNO, with an increase of 7.71% (95% CI: 4.67%, 10.83%) per interquartile range (IQR) (48.10 μg/m3) increase of PM2.5 at lag2, and ΣPAHs showed a maximum elevation in FeNO of 6.40% (95% CI: 2.33%, 10.63%) at lag4 per IQR (57.39 ng/m3) increase. Individual PAHs exhibited diversity peak effects on FeNO at lag3 (6 of 17), lag4 (9 of 17) in the single-day model, and lag0-5 (8 of 17) (from lag0-1 to lag0-6) in the cumulative model. Source apportionment indicated coal combustion as the primary contributor (accounting for 30.7%). However, a maximum effect on FeNO (an increase of 21.57% (95% CI: 13.58%, 30.13%) per IQR increase) was observed with traffic emissions at lag4. The findings imply that strategic regulation of particular sources of PAHs, like traffic emissions, during specific periods could significantly contribute to safeguarding public health.
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Affiliation(s)
- Yucong Fu
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Wenhui Jia
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China; Department of Nutrition and Food Science, School of Public Health, Tianjin Medical University, Tianjin, 300070, China
| | - Ningyu Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Zhiyu Wang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Nan Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Tong Wang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Nan Zhang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
| | - Jia Xu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
| | - Xueli Yang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Qiang Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Changping Li
- Epidemiology and Biostatistics Institute, School of Public Health, Tianjin Medical University, Tianjin, 300070, China
| | - Xumei Zhang
- Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China; Department of Nutrition and Food Science, School of Public Health, Tianjin Medical University, Tianjin, 300070, China
| | - Wen Yang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
| | - Bin Han
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
| | - Liwen Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China.
| | - Naijun Tang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Zhipeng Bai
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
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Deng X, Mao L, Peng M, Cai Y, Wang T, Luo Z, Kumar A. Polycyclic aromatic hydrocarbons in coastal rivers in Jiangsu Province, China: Spatial distribution, source apportionment and human impacts. JOURNAL OF HAZARDOUS MATERIALS 2024; 466:133576. [PMID: 38278070 DOI: 10.1016/j.jhazmat.2024.133576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 01/08/2024] [Accepted: 01/18/2024] [Indexed: 01/28/2024]
Abstract
The ocean is the ultimate sink for all pollutants, rivers are important channels for land-based pollutants to enter the oceans. Riverine transport of polycyclic aromatic hydrocarbons (PAHs) to coastal seas in China poses environmental threats. This study examined the spatial and temporal distribution of PAHs in coastal rivers in Yancheng City in Jiangsu Province of China, with the aim of identifying their likely sources, concentrations, and influencing factors. Surface sediments were taken from the Xinyanggang River (XYR) and the Sheyang River (SYR). The concentrations of Ʃ16PAHs in river sediments were measured on average 477.05 ng/g dry weight (dw), with values varying from 2.18 to 6351.42 ng/g, indicating a moderate pollution level, with a dominance of high molecular weight (HMW) PAHs. The XYR exhibited significantly higher PAHs concentrations compared to the SYR. The key sources of PAHs were vehicle emissions (47.87%), coal and natural gas combustion (35.07%). Geographically weighted regression and redundancy analysis linked PAHs pollution to distinct land use patterns and socioeconomic indicators, highlighting urban land as the major contributor, driven by high urbanization and industrialization (70.91%). In XYR, industrial activities and transport emissions were major contributors, while in SYR, agricultural activities predominantly influenced PAHs pollution. Urgent mitigation strategies are needed to reduce PAHs pollution in river sediments, mitigating ecological and human risks associated with these contaminants.
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Affiliation(s)
- Xiaoqian Deng
- School of Marine Sciences, Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Longjiang Mao
- School of Marine Sciences, Nanjing University of Information Science & Technology, Nanjing 210044, China.
| | - Mo Peng
- Jiangsu Provincial Environmental Monitoring Center, Nanjing 210019, China
| | - Yuqi Cai
- School of Marine Sciences, Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Ting Wang
- School of Marine Sciences, Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Zhuhua Luo
- School of Marine Sciences, Nanjing University of Information Science & Technology, Nanjing 210044, China; Key Laboratory of Marine Biogenetic Resources, Third Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005, China
| | - Amit Kumar
- School of Hydrology and Water resources, Nanjing University of Information Science & Technology, Nanjing 210044, China
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Jia W, Fu Y, Zhang N, Zhang N, Wang T, Wang Z, Zhang N, Xu J, Yang X, Zhang Q, Li C, Zhang X, Yang W, Han B, Zhang L, Tang N, Bai Z. Ambient PM 2.5-bound polycyclic aromatic hydrocarbons (PAHs) associated with pro-thrombotic biomarkers among young healthy adults: A 16 times repeated measurements panel study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:169433. [PMID: 38128672 DOI: 10.1016/j.scitotenv.2023.169433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 11/13/2023] [Accepted: 12/14/2023] [Indexed: 12/23/2023]
Abstract
Studies have shown that the cardio/cerebrovascular toxicity of ambient PM2.5 is related to its bound polycyclic aromatic hydrocarbons (PAHs). Currently, only a few studies have reported the relationship between PM2.5-bound PAHs and promoted blood coagulation and thrombosis, but there isn't a consistent conclusion. Therefore, we conducted a prospective panel study to investigate the association. Thirty-three young healthy adults participated in sixteen repeated visits from 2014 to 2018 in Tianjin, China. During each visit, three pro-thrombotic biomarkers: ADAMTS13 (a disintegrin and metalloproteinase with thrombospondin motif 13), D-dimer and Myeloperoxidase (MPO) were measured. Before each visit, ambient PM2.5 samples were daily collected for one week. Sixteen PAHs were determined using Gas Chromatography-Mass Spectrometer, and the positive matrix factorization (PMF) model was applied to identify the sources. Linear mixed-effects models were fitted to investigate the associations between PM2.5-bound PAHs exposure and the biomarkers. Thirteen time-metrics were defined to identify significant time points of PM2.5-bound PAHs' effects. We observed that the increase of PM2.5-bound PAHs exposure was significantly associated with reduced ADAMTS13, elevated D-dimer and MPO. At lag0, each 5.7 ng/m3 increase in Benzo[j]fluoranthene and per 3.4 ng/m3 increase Dibenz[a,h]anthracene could make a maximum change of -19.08 % in ADAMTS13 and 132.60 % in D-dimer. Additionally, per 16.43 ng/m3 increase in Chrysene could lead to a maximum elevation of 32.14 % in MPO at lag4. The PM2.5-bound PAHs often triggered more significant changes at lag 3,4 and 6. The ambient PM2.5-bound PAHs originated from six sources: coal combustion (43.10 %), biomass combustion (20.77 %), diesel emission (14.78 %), gasoline emission (10.95 %), industrial emission (7.58 %), and cooking emission (2.83 %). The greatest contributors to alterations in ADAMTS13, D-dimer and MPO are industrial emission (-48.43 %), biomass combustion (470.32 %) and diesel emission (13.14 %) at lag4. Our findings indicated that short-term exposure to ambient PM2.5-bound PAHs can induce alterations of pro-thrombotic biomarkers among healthy adults.
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Affiliation(s)
- Wenhui Jia
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Department of Nutrition and Food Science, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
| | - Yucong Fu
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
| | - Nan Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
| | - Ningyu Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
| | - Tong Wang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
| | - Zhiyu Wang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
| | - Nan Zhang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Jia Xu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Xueli Yang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
| | - Qiang Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
| | - Changping Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Xumei Zhang
- Department of Nutrition and Food Science, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
| | - Wen Yang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Bin Han
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Liwen Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China.
| | - Naijun Tang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
| | - Zhipeng Bai
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
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Kermani M, Taghizadeh F, Jonidi Jafari A, Gholami M, Shahsavani A, Nakhjirgan P. PAHs pollution in the outdoor air of areas with various land uses in the industrial city of Iran: distribution, source apportionment, and risk assessment. Heliyon 2023; 9:e17357. [PMID: 37383194 PMCID: PMC10293716 DOI: 10.1016/j.heliyon.2023.e17357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Revised: 06/14/2023] [Accepted: 06/14/2023] [Indexed: 06/30/2023] Open
Abstract
Shahryar city regions with various land uses had their outdoor air concentrations of PM2.5-bound PAHs determined. Totally, 32 samples were taken - eight samples from the industrial region air (IS), eight samples from the high-traffic urban regions air (HTS), eight samples from the air of commercial regions (CS), and eight samples from residential areas (RS), which were analyzed by GC-MS. According to the study's findings, in the outdoor air of IS, HTS, CS, and RS, there were mean ƩPAHs concentrations of 23.25 ± 20.22, 38.88 ± 26.53, 6.97 ± 4.26, and 4.48 ± 3.13 ng/m3, respectively. As comparison to CS and RS, mean concentration of ƩPAHs in samples from HTS and IS was substantially greater (p < 0.05). Using the Unmix.6 receptor model, sources of PAHs in the air of Shahryar were allocated. The model's results show that 42% of PAHs come from diesel vehicles and industrial activities, 36% from traffic and other transportation sources, and 22% from heating sources and coal burning. The carcinogenicity suffering resulting from exposure to PAHs was as follows: This value for children of the ingestion, inhalation pathways and dermal contact is (1.90 × 10-6-1.38 × 10-4), (5.5 × 10-11-2.67 × 10-9) and (2.36 × 10-6-1.72 × 10-4), respectively. Also, for adults were (1.47 × 10-6 - 1.07 × 10-4), (1.14 × 10-10 - 5.27 × 10-9) and (3.68 × 10-6- 2.87 × 10-4), respectively. In general, the analyzed region's carcinogenicity risk estimates fell within the range of acceptable limit.
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Affiliation(s)
- Majid Kermani
- Research Center for Environmental Health Technology, Iran University of Medical Sciences, Tehran, Iran
- Department of Environmental Health Engineering, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Farhad Taghizadeh
- Department of Environmental Health Engineering, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Ahmad Jonidi Jafari
- Research Center for Environmental Health Technology, Iran University of Medical Sciences, Tehran, Iran
- Department of Environmental Health Engineering, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Mitra Gholami
- Research Center for Environmental Health Technology, Iran University of Medical Sciences, Tehran, Iran
- Department of Environmental Health Engineering, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Abbas Shahsavani
- Department of Environmental Health Engineering, School of Public Health, Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Air Quality and Climate Change Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Pegah Nakhjirgan
- Department of Environmental Health Engineering, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
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Wu K, Yao Y, Meng Y, Zhang X, Zhou R, Liu W, Ding X. Long-Term Atmosphere Surveillance (2016-2021) of PM 2.5-bound Polycyclic Aromatic Hydrocarbons and Health Risk Assessment in Yangtze River Delta, China. EXPOSURE AND HEALTH 2023:1-14. [PMID: 37360513 PMCID: PMC10208184 DOI: 10.1007/s12403-023-00572-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 04/06/2023] [Accepted: 05/17/2023] [Indexed: 06/28/2023]
Abstract
Long-term atmospheric quality monitoring of fine particulate matter (PM2.5) and PM2.5-bound polycyclic aromatic hydrocarbons (PAHs) was performed in Wuxi from 2016 to 2021. In total, 504 atmospheric PM2.5 samples were collected, and PM2.5-bound 16 PAHs were detected. The PM2.5 and ∑PAHs level decreased annually from 2016 to 2021, from 64.3 to 34.0 μg/m3 and 5.27 to 4.22 ng/m3, respectively. The benzo[a]pyrene (BaP) levels of 42% of the monitoring days in 2017 exceeded the recommended European Union (EU) health-based standard of 1 ng/m3. Five- and six-ring PAHs were found, including benz[a]anthracene, benzo[k]fluoranthene (Bkf), BaP, and benzo[g,h,i]perylene, which were the dominant components (indicating a prominent petroleum, biomass, and coal combustion contribution) using molecular diagnostic ratios and positive matrix factorization analysis. Moreover, PM2.5 and PAHs were significantly negatively associated with local precipitation over a period of six years. Statistically significant temporal and spatial distribution differences of PM2.5, and ∑PAHs were also found. The toxicity equivalent quotient (TEQ) of total PAHs was 0.70, and the TEQ of BaP (0.178) was the highest, followed by that of Bkf (0.090), dibenz[a,h]anthracene (Dah) (0.048), and indeno[1,2,3-cd]pyrene (0.034). The medians of the incremental lifetime cancer risk for long-term exposure to PAHs were 2.74E-8, 1.98E-8, and 1.71E-7 for children, teenagers, and adults, respectively, indicating that the carcinogenic risk of PAHs pollution in air was acceptable to local residents in this area. Sensitivity analysis revealed that BaP, Bkf, and Dah significantly contributed to carcinogenic toxicity. This research provides comprehensive statistics on the local air persistent organic pollutants profile, helps to identify the principal pollution source and compounds, and contributes to the prevention of regional air pollution. Graphical Abstract Supplementary Information The online version contains supplementary material available at 10.1007/s12403-023-00572-x.
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Affiliation(s)
- Keqin Wu
- Wuxi Center for Disease Control and Prevention (The Affiliated Wuxi Center for Disease Control and Prevention, Nanjing Medical University), Wuxi, 214023 China
- Research Base for Environment and Health in Wuxi, Chinese Center for Disease Control and Prevention, Wuxi, 214023 China
| | - Yuyang Yao
- Wuxi Center for Disease Control and Prevention (The Affiliated Wuxi Center for Disease Control and Prevention, Nanjing Medical University), Wuxi, 214023 China
| | - Yuanhua Meng
- Wuxi Center for Disease Control and Prevention (The Affiliated Wuxi Center for Disease Control and Prevention, Nanjing Medical University), Wuxi, 214023 China
- Research Base for Environment and Health in Wuxi, Chinese Center for Disease Control and Prevention, Wuxi, 214023 China
| | - Xuhui Zhang
- Wuxi Center for Disease Control and Prevention (The Affiliated Wuxi Center for Disease Control and Prevention, Nanjing Medical University), Wuxi, 214023 China
| | - Run Zhou
- Wuxi Center for Disease Control and Prevention (The Affiliated Wuxi Center for Disease Control and Prevention, Nanjing Medical University), Wuxi, 214023 China
- Research Base for Environment and Health in Wuxi, Chinese Center for Disease Control and Prevention, Wuxi, 214023 China
| | - Wenwei Liu
- Wuxi Center for Disease Control and Prevention (The Affiliated Wuxi Center for Disease Control and Prevention, Nanjing Medical University), Wuxi, 214023 China
- Research Base for Environment and Health in Wuxi, Chinese Center for Disease Control and Prevention, Wuxi, 214023 China
| | - Xinliang Ding
- Wuxi Center for Disease Control and Prevention (The Affiliated Wuxi Center for Disease Control and Prevention, Nanjing Medical University), Wuxi, 214023 China
- Research Base for Environment and Health in Wuxi, Chinese Center for Disease Control and Prevention, Wuxi, 214023 China
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Liang L, Zhu Y, Xu X, Hao W, Han J, Chen Z, Dong X, Qiu G. Integrated Insights into Source Apportionment and Source-Specific Health Risks of Potential Pollutants in Urban Park Soils on the Karst Plateau, SW China. EXPOSURE AND HEALTH 2023; 15:1-18. [PMID: 36644014 PMCID: PMC9825100 DOI: 10.1007/s12403-023-00534-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 11/10/2022] [Accepted: 01/02/2023] [Indexed: 06/17/2023]
Abstract
Polycyclic aromatic hydrocarbons (PAHs) and heavy metal(loid)s (HMs) pose risks to environmental and human health. Identification of priority control contaminants is important in guiding the management and control of these synchronous pollutants. A total of 247 soil samples were collected from 64 urban parks in the karst plateau city of Guiyang in SW China to determine the concentrations, spatial distributions, and health risks of PAHs and HMs. The results indicate that dibenz(ah)anthracene and benzo(a)pyrene are the main PAHs species of high ecological risk, and Cr, Mn, and Ni pose elevated ecological risk among the HMs. Four sources were identified for PAHs (biomass burning, coke oven, traffic sources, and coal burning) and HMs (traffic sources, coal burning, industrial sources, and natural sources). The non-carcinogenic risk (NCR) and total carcinogenic risk (TCR) of PAHs were all determined to be negligible and at acceptable levels, several orders of magnitude below those of HMs. The NCR and TCR values of HMs were relatively high, especially for children (11.9% of NCR > 1; 79.1% of TCR > 10-4). Coal burning and natural sources make the greatest contributions to the NCR and TCR values from karst park soils in Guiyang. Considering HMs bioavailability, NCR and TCR values were rather low, due to the high residual HM fractions. Integrated insights into source specific ecological and human health risk indicate future directions for management and control of synchronous PAH and HM pollution, particularly for karst plateau areas. Supplementary Information The online version contains supplementary material available at 10.1007/s12403-023-00534-3.
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Affiliation(s)
- Longchao Liang
- School of Chemistry and Materials Science, Guizhou Normal University, Guiyang, 550025 China
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang, 550081 China
| | - Yaru Zhu
- College of Resource & Environment, Henan Agricultural University, Zhengzhou, 450002 China
| | - Xiaohang Xu
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang, 550081 China
- Key Laboratory of Karst Georesources and Environment, Ministry of Education, College of Resources and Environmental Engineering, Guizhou University, Guiyang, 550025 China
| | - Wanbin Hao
- School of Chemistry and Materials Science, Guizhou Normal University, Guiyang, 550025 China
| | - Jialiang Han
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang, 550081 China
| | - Zhuo Chen
- School of Chemistry and Materials Science, Guizhou Normal University, Guiyang, 550025 China
| | - Xian Dong
- School of Chemistry and Materials Science, Guizhou Normal University, Guiyang, 550025 China
| | - Guangle Qiu
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang, 550081 China
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Jiang Q, Zhang X, Liu T, Shi J, Gu X, Xiao J, Fang J. Assessment of the temporal variability and health risk of atmospheric particle-phase polycyclic aromatic hydrocarbons in a northeastern city in China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:64536-64546. [PMID: 35471760 DOI: 10.1007/s11356-022-20378-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 04/18/2022] [Indexed: 06/14/2023]
Abstract
In this study, we examined the sources and temporal variability of 16 polycyclic aromatic hydrocarbons (PAHs) found in fine particulate matter (PM2.5) in a typical industrial city in northern China. We also evaluated the incremental lifetime cancer risk (ILCR) from the inhalation of these PAHs. Atmospheric PM2.5 samples were collected for 7 consecutive days each month from 2014 to 2019, and the 16 PAHs were measured using multiplex gas chromatography-tandem mass spectrometry. The carcinogenic risk of PAH exposure was assessed using the inhalation unit risk (IUR) and cancer slope factor (CSF) methods. The annual average concentrations of PM2.5 for each year from 2014 to 2019 were 102.87±55.25, 86.92±60.43, 69.17±37.74, 58.20±59.15, 56.01±34.52, and 52.54±58.15 µg m-3, and the annual average ΣPAH concentrations were 56.03±81.09, 47.99±79.30, 40.41±57.31, 33.57±51.79, 43.23±74.80, and 25.20±50.91 ng m-3, respectively. Source identification, using diagnostic ratio analysis, indicated that the major PAH sources were coal/biomass combustion, fuel combustion, and traffic emissions. A health risk assessment showed that the ILCR from PAH inhalation decreased throughout the study period and varied with age. The IUR and CSF methods both showed that the adult ILCR exceeded 1.0×10-6. These findings demonstrate the importance of addressing the carcinogenic risk of PM2.5-bound PAHs, particularly in adults.
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Affiliation(s)
- Qizheng Jiang
- Hebei University of Science & Technology, No. 26 Yuxiangjie, Yuhua District, Shijiazhuang, 050018, China
- China CDC Key Laboratory of Environment and Human Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, China
| | - Xianhui Zhang
- Jinan Center for Disease Control and Prevention, Jinan, 250021, China
| | - Tong Liu
- Harbin Center for Disease Control and Prevention, Harbin, 150056, China
| | - Jie Shi
- Harbin Center for Disease Control and Prevention, Harbin, 150056, China
| | - Xiaolin Gu
- Harbin Center for Disease Control and Prevention, Harbin, 150056, China
| | - Jieying Xiao
- Hebei University of Science & Technology, No. 26 Yuxiangjie, Yuhua District, Shijiazhuang, 050018, China.
| | - Jianlong Fang
- China CDC Key Laboratory of Environment and Human Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, China
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8
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Kwarteng L, Devasurendra AM, Laskaris Z, Arko-Mensah J, Amoabeng Nti AA, Takyi S, Acquah AA, Dwomoh D, Basu N, Robins T, Fobil JN, Batterman S. Occupational exposures to particulate matter and PM 2.5-associated polycyclic aromatic hydrocarbons at the Agbogbloshie waste recycling site in Ghana. ENVIRONMENT INTERNATIONAL 2022; 158:106971. [PMID: 34991242 PMCID: PMC8745907 DOI: 10.1016/j.envint.2021.106971] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Revised: 11/01/2021] [Accepted: 11/02/2021] [Indexed: 05/09/2023]
Abstract
Electronic waste (e-waste) disposal and recycling activities such as burning and smelting can emit particulate matter (PM), polycyclic aromatic hydrocarbons (PAHs), and other pollutants that expose workers and nearby communities. At informal e-waste recycling facilities, both emission controls and protective measures for workers are absent. This study characterizes personal exposures (breathing zone) of PM and PAHs of e-waste workers at the large Agbogbloshie e-waste site in Accra, Ghana. We collected gravimetric and optical measurements of PM2.5 and PM10 using shift samples for workers and for an age- and gender-matched reference population. PM2.5 filters were analyzed for 26 PAHs using gas chromatography/mass spectroscopy. Among e-waste workers, PM2.5 and PM10 concentrations were 99 ± 56 and 218 ± 158 µg/m3 (median ± interquartile range, optical measurements), respectively; these levels were 78 and 57% higher, respectively, than levels measured at a fixed site that was centrally located at the waste site. In the reference community, breathing zone PM2.5 and PM10 levels were lower, 49 ± 20 and 131 ± 108 µg/m3, respectively, and the fraction of coarse PM was larger. We detected all 26 target PAHs, of which naphthalene and phenanthrene were the most abundant. PAH concentrations were weakly correlated to PM levels, but PAH abundances, representing the fraction of PAH mass to the total PM2.5 mass collected, were strongly and inversely correlated to PM levels, suggesting multiple and different sources of PAHs and PM that affected exposures. Both PM and PAH levels were elevated for workers performing burning and dismantling, and both exceeded standards or risk-based guidelines, e.g., lifetime excess cancer risks for several PAHs were in the 10-4 to 10-6 range, indicating the need to reduce emissions as well as provide respiratory protection. The study emphasizes the importance of using personal and shift samples to accurately characterize worker exposure.
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Affiliation(s)
- Lawrencia Kwarteng
- Department of Biological, Environmental & Occupational Health Sciences, School of Public Health, University of Ghana, P.O. Box LG13, Accra, Ghana
| | - Amila M Devasurendra
- Department of Environmental Health Sciences, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109, USA
| | - Zoey Laskaris
- Department of Epidemiology, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109, USA
| | - John Arko-Mensah
- Department of Biological, Environmental & Occupational Health Sciences, School of Public Health, University of Ghana, P.O. Box LG13, Accra, Ghana
| | - Afua A Amoabeng Nti
- Department of Biological, Environmental & Occupational Health Sciences, School of Public Health, University of Ghana, P.O. Box LG13, Accra, Ghana
| | - Sylvia Takyi
- Department of Biological, Environmental & Occupational Health Sciences, School of Public Health, University of Ghana, P.O. Box LG13, Accra, Ghana
| | - Augustine A Acquah
- Department of Biological, Environmental & Occupational Health Sciences, School of Public Health, University of Ghana, P.O. Box LG13, Accra, Ghana
| | - Duah Dwomoh
- Department of Biostatistics, School of Public Health, University of Ghana, P.O. Box LG13, Accra, Ghana
| | - Nil Basu
- Faculty of Agricultural and Environmental Sciences, McGill University, Montréal, QC H9X 3V9, Canada
| | - Thomas Robins
- Department of Environmental Health Sciences, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109, USA
| | - Julius N Fobil
- Department of Biological, Environmental & Occupational Health Sciences, School of Public Health, University of Ghana, P.O. Box LG13, Accra, Ghana
| | - Stuart Batterman
- Department of Environmental Health Sciences, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109, USA.
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9
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Famiyeh L, Chen K, Xu J, Sun Y, Guo Q, Wang C, Lv J, Tang YT, Yu H, Snape C, He J. A review on analysis methods, source identification, and cancer risk evaluation of atmospheric polycyclic aromatic hydrocarbons. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 789:147741. [PMID: 34058584 DOI: 10.1016/j.scitotenv.2021.147741] [Citation(s) in RCA: 48] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2021] [Revised: 05/06/2021] [Accepted: 05/09/2021] [Indexed: 06/12/2023]
Abstract
Polycyclic aromatic hydrocarbons (PAHs) have gained attention because of their environmental persistence and effects on ecosystems, animals, and human health. They are mutagenic, carcinogenic, and teratogenic. The review provides background knowledge about their sources, metabolism, temporal variations, and size distribution in atmospheric particulate matter. The review article briefly discusses the analytical methods suitable for the extraction, characterization, and quantification of nonpolar and polar PAHs, addressing the challenges. Herein, we discussed the molecular diagnostic ratios (DRs), stable carbon isotopic analysis (SCIA), and receptor models, with much emphasis on the positive matrix factorization (PMF) model, for apportioning PAH sources. Among which, DRs and PCA identified as the most widely employed method, but their accuracy for PAH source identification has received global criticism. Therefore, the review recommends compound-specific isotopic analysis (CSIA) and PMF as the best alternative methods to provide detailed qualitative and quantitative source analysis. The compound-specific isotopic signatures are not affected by environmental degradation and are considered promising for apportioning PAH sources. However, isotopic fractions of co-eluted compounds like polar PAHs and aliphatic hydrocarbons make the PAHs isotopic fractions interpretation difficult. The interference of unresolved complex mixtures is a limitation to the application of CSIA for PAH source apportionment. Hence, for CSIA to further support PAH source apportionment, fast and cost-effective purification techniques with no isotopic fractionation effects are highly desirable. The present review explains the concept of stable carbon isotopic analysis (SCIA) relevant to PAH source analysis, identifying the techniques suitable for sample extract purification. We demonstrate how the source apportioned PAHs can be applied in assessing the health risk of PAHs using the incremental lifetime cancer risk (ILCR) model, and in doing so, we identify the key factors that could undermine the accuracy of the ILCR and research gaps that need further investigation.
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Affiliation(s)
- Lord Famiyeh
- Center for Environmental Remediation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; Department of Chemical and Environmental Engineering, University of Nottingham Ningbo China, 199 Taikang E Rd, Ningbo 315100, China
| | - Ke Chen
- Department of Chemical and Environmental Engineering, University of Nottingham Ningbo China, 199 Taikang E Rd, Ningbo 315100, China
| | - Jingsha Xu
- School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, United Kingdom
| | - Yong Sun
- Department of Chemical and Environmental Engineering, University of Nottingham Ningbo China, 199 Taikang E Rd, Ningbo 315100, China
| | - Qingjun Guo
- Center for Environmental Remediation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
| | - Chengjun Wang
- College of Resources and Environmental Science, South-Central University of Nationalities, Wuhan 430074, China
| | - Jungang Lv
- Procuratoral Technology and Information Research Center, Supreme People's Procuratorate, Beijing 100144, China
| | - Yu-Ting Tang
- Department of Geographical Sciences, University of Nottingham Ningbo China, 199 Taikang E Rd, Ningbo 315100, China
| | - Huan Yu
- Department of Atmospheric Science, School of Environmental Studies, China University of Geosciences, Wuhan 430074, China
| | - Collin Snape
- Department of Chemical and Environmental Engineering, University of Nottingham, University Park, Nottingham NG7 2RD, UK
| | - Jun He
- Department of Chemical and Environmental Engineering, University of Nottingham Ningbo China, 199 Taikang E Rd, Ningbo 315100, China; Key Laboratory of Carbonaceous Wastes Processing and Process Intensification Research of Zhejiang Province. University of Nottingham Ningbo China, Ningbo 315100, China.
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10
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Huang F, Zhang Y, Lou Y, Li X, Zhang T, Yu H, Yuan C, Tong Q, Qi F, Shao F. Characterization, Sources and Excessive Cancer Risk of PM 2.5-Bound Polycyclic Aromatic Hydrocarbons in Different Green Spaces in Lin'an, Hangzhou, China. BULLETIN OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY 2021; 107:519-529. [PMID: 34230988 DOI: 10.1007/s00128-021-03304-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Accepted: 06/09/2021] [Indexed: 06/13/2023]
Abstract
PM2.5 samples were collected from residential, commercial, plaza and public green spaces in Lin'an, Hangzhou, in spring (March and April) and winter (February and December) in 2017. PAHs were detected by gas chromatography-mass spectrometry (GC-MS), and their sources were identified using the diagnostic ratio (DR) and principal component analysis-multiple linear regression (PCA-MLR). The average PAH concentration in winter was 1.3 times that in spring (p < 0.01). The PAH concentrations in the green spaces decreased as commercial > residential > plaza > public green space (p < 0.05). The sources of PAHs were vehicle emissions and coal combustion pollution transported by northern Chinese air masses. Slightly higher excessive cancer risks were determined in the commercial and residential green spaces than in the plaza and public green spaces. Green coverage, pedestrian volume, traffic flow and building density greatly influenced the decrease in the PAH concentration in the green spaces. Among the 4 types of green spaces, public green space had the most ecological benefits and should be fully utilized in urban green space planning to improve public health in urban spaces.
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Affiliation(s)
- Fang Huang
- College of Landscape Architecture, Zhejiang Agriculture and Forestry University, Hangzhou, 311300, Zhejiang, China
| | - Yinke Zhang
- Hangzhou Botanical Garden (Hangzhou West Lake Academy of Landscape Science), Hangzhou, 310012, Zhejiang, China
| | - Yilei Lou
- College of Landscape Architecture, Zhejiang Agriculture and Forestry University, Hangzhou, 311300, Zhejiang, China
| | - Xiaolu Li
- College of Landscape Architecture, Zhejiang Agriculture and Forestry University, Hangzhou, 311300, Zhejiang, China
| | - Tianran Zhang
- College of Landscape Architecture, Zhejiang Agriculture and Forestry University, Hangzhou, 311300, Zhejiang, China
| | - Hui Yu
- College of Landscape Architecture, Zhejiang Agriculture and Forestry University, Hangzhou, 311300, Zhejiang, China
| | - Chuyang Yuan
- College of Landscape Architecture, Zhejiang Agriculture and Forestry University, Hangzhou, 311300, Zhejiang, China
| | - Qun Tong
- Hangzhou Lin'an District Environmental Monitoring Station, Hangzhou, 311300, Zhejiang, China
| | - Feng Qi
- College of Landscape Architecture, Zhejiang Agriculture and Forestry University, Hangzhou, 311300, Zhejiang, China
| | - Feng Shao
- College of Landscape Architecture, Zhejiang Agriculture and Forestry University, Hangzhou, 311300, Zhejiang, China.
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11
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Kermani M, Asadgol Z, Gholami M, Jafari AJ, Shahsavani A, Goodarzi B, Arfaeinia H. Occurrence, spatial distribution, seasonal variations, potential sources, and inhalation-based health risk assessment of organic/inorganic pollutants in ambient air of Tehran. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2021; 43:1983-2006. [PMID: 33216310 DOI: 10.1007/s10653-020-00779-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2020] [Accepted: 11/08/2020] [Indexed: 06/11/2023]
Abstract
The present study evaluated the concentrations, spatial distribution, seasonal variations, potential sources, and risk assessment of organic/inorganic pollutants in ambient air of Tehran city. Totally, 180 air samples were taken from 9 sampling stations from March 2018 to March 2019 and were analyzed to determine the concentrations of organic pollutants (BTEX compounds and PM2.5-bound PAHs) plus inorganic pollutants (PM2.5-bound metals and asbestos fibers). The results revealed that the mean concentrations of ∑ PAHs, BTEX, ∑ heavy metals, and asbestos fibers were 5.34 ng/m3, 60.55 µg/m3, 8585.12 ng/m3, and 4.13 fiber/ml in the cold season, respectively, and 3.88 ng/m3, 33.86 µg/m3, 5682.61 ng/m3, and 3.21 fiber/ml in the warm season, respectively. Source apportionment of emission of the air pollutants showed that PAHs are emitted from diesel vehicles and industrial activities. BTEX and asbestos are also released mainly by vehicles. The results of the inhalation-based risk assessment indicated that the carcinogenic risk of PAHs, BTEX, and asbestos exceeded the recommended limit by The US environmental protection agency (US EPA) and WHO (1 × 10-4). The risk of carcinogenesis of heavy metal of lead and chromium also exceeded the recommended limit. Thus, proper management strategies are required to control the concentration of these pollutants in Tehran's ambient air in order to maintain the health of Tehran's citizens.
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Affiliation(s)
- Majid Kermani
- Research Center for Environmental Health Technology, Iran University of Medical Sciences, Tehran, Iran
- Department of Environmental Health Engineering, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Zahra Asadgol
- Research Center for Environmental Health Technology, Iran University of Medical Sciences, Tehran, Iran
- Department of Environmental Health Engineering, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Mitra Gholami
- Research Center for Environmental Health Technology, Iran University of Medical Sciences, Tehran, Iran
- Department of Environmental Health Engineering, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Ahmad Jonidi Jafari
- Research Center for Environmental Health Technology, Iran University of Medical Sciences, Tehran, Iran
- Department of Environmental Health Engineering, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Abbas Shahsavani
- Department of Environmental Health Engineering, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Environmental and Occupational Hazards Control Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Babak Goodarzi
- Research Center for Environmental Health Technology, Iran University of Medical Sciences, Tehran, Iran.
- Department of Environmental Health Engineering, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.
- Department of Environmental Health Engineering, School of Public Health, Hormozgan University of Medical Sciences, Hormozgan, Iran.
| | - Hossein Arfaeinia
- Systems Environmental Health and Energy Research Center, The Persian Gulf Biomedical Sciences Research Institute, Bushehr University of Medical Sciences, Bushehr, Iran.
- Department of Environmental Health Engineering, School of Public Health, Bushehr University of Medical Sciences, Bushehr, Iran.
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12
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Li Q, Liu W, Zhu X. Green choline amino acid ionic liquids aqueous two-phase extraction coupled with synchronous fluorescence spectroscopy for analysis naphthalene and pyrene in water samples. Talanta 2020; 219:121305. [PMID: 32887046 DOI: 10.1016/j.talanta.2020.121305] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Revised: 06/15/2020] [Accepted: 06/17/2020] [Indexed: 11/29/2022]
Abstract
A novel aqueous two-phase extraction method has been established for the determination of polycyclic aromatic hydrocarbons in water sample. This method was based on the extraction of naphthalene and pyrene from water by means of choline amino acid ionic liquids aqueous two-phase system and their determination by synchronous fluorescence spectroscopy. In synchronous fluorescence spectroscopy, the fluorescence peaks of naphthalene and pyrene were completely separated to meet the requirement of simultaneous determination. For this method, good linear calibration curves of naphthalene and pyrene were obtained in the range of 0.50-10.0, 0.05-5.0 μg mL-1, respectively, and limits of detection were 0.211, 0.012 μg mL-1, respectively. The proposed method was successfully applied for the simultaneous determination of naphthalene and pyrene in water samples, which was considered as an excellent green analysis according Analytical Eco-Scale.
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Affiliation(s)
- Qi Li
- College of Chemistry & Chemical Engineering, Yangzhou University, Yangzhou University, Yangzhou, 225002, PR China
| | - Wei Liu
- College of Chemistry & Chemical Engineering, Yangzhou University, Yangzhou University, Yangzhou, 225002, PR China
| | - Xiashi Zhu
- College of Chemistry & Chemical Engineering, Yangzhou University, Yangzhou University, Yangzhou, 225002, PR China; College of Guangling, Yangzhou University, Yangzhou University, Yangzhou, 225002, PR China.
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13
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Zhao Y, Feng L, Wang Y, Shang B, Li J, Han P. Study on Pollution Characterization and Source Apportionment of Daytime and Nighttime PM 2.5 Samples in an Urban Residential Community in Different Weather Conditions. BULLETIN OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY 2020; 104:673-681. [PMID: 32189016 DOI: 10.1007/s00128-020-02828-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Accepted: 03/12/2020] [Indexed: 06/10/2023]
Abstract
Daytime and nighttime PM2.5 samples were collected from an urban community in Tianjin. The major chemical components in PM2.5, including metal elements, polycyclic aromatic hydrocarbons and inorganic water-soluble ions, were monitored. A positive matrix factorization (PMF) model was used to apportion the potential sources of PM2.5 under different weather conditions. When the Air Quality Index (AQI) was below 200, the concentrations of BaA, BbF, BkF, Na and NO3- during the nighttime were higher than those during the daytime. PMF analysis indicated that secondary aerosols (37.3%), biomass burning (26.7%) and coal combustion (26.0%) were important sources of PM2.5 in the urban residential community when the AQI was greater than 200. When the AQI was less than 200 in the urban residential community, the main sources of PM2.5 in the urban residential community were secondary aerosols (50.7%) and fossil fuel combustion (47.2%). The pollution status of PM2.5 in the residential community of the urban area was serious, and the source apportionments of the PM2.5 samples in the urban area were different under different weather conditions.
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Affiliation(s)
- Yan Zhao
- Department of Environmental and Health, Tianjin Centers for Disease Control and Prevention, Tianjin, 300011, China.
| | - Lihong Feng
- Department of Environmental and Health, Tianjin Centers for Disease Control and Prevention, Tianjin, 300011, China
| | - Yuwen Wang
- Department of Environmental and Health, Tianjin Centers for Disease Control and Prevention, Tianjin, 300011, China
| | - Bodong Shang
- Department of Environmental and Health, Tianjin Centers for Disease Control and Prevention, Tianjin, 300011, China
| | - Jianping Li
- Department of Environmental and Health, Tianjin Centers for Disease Control and Prevention, Tianjin, 300011, China
| | - Penghao Han
- Department of Monitoring, Heping Center for Disease Control and Prevention, Tianjin, 300070, China
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14
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Xie Z, Gao L, Liang Z, Chen J, Li S, Zhu A, Wu Y, Yang Z, Li R, Wang Z. Characteristics, Sources, and Risks of Polycyclic Aromatic Hydrocarbons in Topsoil and Surface Water from the Liuxi River Basin, South China. ARCHIVES OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY 2020; 78:401-415. [PMID: 32008048 DOI: 10.1007/s00244-020-00711-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Accepted: 01/17/2020] [Indexed: 06/10/2023]
Abstract
The concentrations, composition, sources, and risks of polycyclic aromatic hydrocarbons (PAHs) in topsoil and surface water of the Liuxi River basin, south China were analyzed in this study. The total concentrations of 16 PAHs ranged from 296.26 to 888.14 ng/g in topsoil and from 156.73 to 422.03 ng/L in surface water, indicating mild pollution. The PAHs in topsoil exhibited an even spatial distribution, suggesting that they originated primarily from dry and wet deposition of transported pollutants. The concentration of PAHs in surface water did not differ significantly geographically, but the concentrations of total, three-, and four-ring PAHs were significantly lower in the Liuxi River than in its tributaries. Three- and two-ring PAHs predominated in topsoil and surface water, respectively. A correlation analysis suggested that the total organic carbon content and pH exerted a negligible effect on the spatial distribution of PAHs in topsoil, and they may have common sources. Fossil fuel combustion (particularly vehicle emissions) and coking production were the dominant sources of PAHs in topsoil, whereas those in surface water were derived from a variety of sources. The total toxic equivalent concentrations of 16 PAHs in topsoil ranged from 3.73 to 105.66 ng/g (mean, 30.93 ng/g), suggesting that exposure to the basin's topsoil does not pose a risk to the environment or public health according to the Canadian soil quality guidelines. A risk assessment revealed that the total PAH concentrations in surface water posed a low ecological risk.
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Affiliation(s)
- Zhenglan Xie
- School of Geography and Planning, Sun Yat-sen University, No. 135, Xingang Xi Road, Guangzhou, 510275, People's Republic of China
- Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-sen University, Guangzhou, 510275, China
| | - Lei Gao
- School of Geography and Planning, Sun Yat-sen University, No. 135, Xingang Xi Road, Guangzhou, 510275, People's Republic of China
- Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-sen University, Guangzhou, 510275, China
| | - Zuobing Liang
- School of Geography and Planning, Sun Yat-sen University, No. 135, Xingang Xi Road, Guangzhou, 510275, People's Republic of China
- Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-sen University, Guangzhou, 510275, China
| | - Jianyao Chen
- School of Geography and Planning, Sun Yat-sen University, No. 135, Xingang Xi Road, Guangzhou, 510275, People's Republic of China.
- Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-sen University, Guangzhou, 510275, China.
| | - Shaoheng Li
- School of Geography and Planning, Sun Yat-sen University, No. 135, Xingang Xi Road, Guangzhou, 510275, People's Republic of China
- Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-sen University, Guangzhou, 510275, China
| | - Aiping Zhu
- School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, China
| | - Yu Wu
- School of Geography and Planning, Sun Yat-sen University, No. 135, Xingang Xi Road, Guangzhou, 510275, People's Republic of China
- Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-sen University, Guangzhou, 510275, China
| | - Zhigang Yang
- School of Geography and Planning, Sun Yat-sen University, No. 135, Xingang Xi Road, Guangzhou, 510275, People's Republic of China
- Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-sen University, Guangzhou, 510275, China
| | - Rui Li
- School of Geography and Planning, Sun Yat-sen University, No. 135, Xingang Xi Road, Guangzhou, 510275, People's Republic of China
- Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-sen University, Guangzhou, 510275, China
| | - Zhuowei Wang
- School of Geography and Planning, Sun Yat-sen University, No. 135, Xingang Xi Road, Guangzhou, 510275, People's Republic of China
- Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-sen University, Guangzhou, 510275, China
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15
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Kang M, Kim K, Choi N, Kim YP, Lee JY. Recent Occurrence of PAHs and n-Alkanes in PM2.5 in Seoul, Korea and Characteristics of their Sources and Toxicity. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:E1397. [PMID: 32098187 PMCID: PMC7068501 DOI: 10.3390/ijerph17041397] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/30/2019] [Revised: 02/10/2020] [Accepted: 02/18/2020] [Indexed: 11/25/2022]
Abstract
Polycyclic Aromatic Hydrocarbons (PAHs) and n-alkanes in particulate matter with an aerodynamic diameter of 2.5 micrometers or less (PM2.5) were quantified at Seoul, Korea in 2018. The seasonal differences in the total concentration of PAHs and n-Alkanes were clear, where winter showed a higher concentration than that of summer. Compared to the PAHs measurements in 2002 at Seoul, the sum of PAHs concentrations in 2018 were reduced from 26.6 to 5.6 ng m-3. Major sources of the observed PAHs and n-alkanes were deduced from various indicators such as diagnostic ratios for PAHs and Cmax, CPI, and WNA (%) indices for n-alkanes. It was found that in winter coal and biomass combustions, and vehicular exhaust were major sources, while, in summer vehicular exhaust was major source. In addition, in winter, major emission sources were located outside of Seoul. The health effect from the recent level of PAHs was estimated and compared to the previous studies observed in Seoul, and it was found that, recently, the toxicity of PAHs in PM2.5 was significantly decreased, except for in the winter.
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Affiliation(s)
- Minkyung Kang
- Environmental Science and Engineering, Ewha Womans University, Seoul 03760, Korea; (M.K.); (K.K.); (N.C.)
| | - Kiae Kim
- Environmental Science and Engineering, Ewha Womans University, Seoul 03760, Korea; (M.K.); (K.K.); (N.C.)
| | - Narae Choi
- Environmental Science and Engineering, Ewha Womans University, Seoul 03760, Korea; (M.K.); (K.K.); (N.C.)
| | - Yong Pyo Kim
- Chemical Engineering and Materials Science, Ewha Womans University, Seoul 03760, Korea;
| | - Ji Yi Lee
- Environmental Science and Engineering, Ewha Womans University, Seoul 03760, Korea; (M.K.); (K.K.); (N.C.)
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Han J, Liang Y, Zhao B, Wang Y, Xing F, Qin L. Polycyclic aromatic hydrocarbon (PAHs) geographical distribution in China and their source, risk assessment analysis. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2019; 251:312-327. [PMID: 31091495 DOI: 10.1016/j.envpol.2019.05.022] [Citation(s) in RCA: 129] [Impact Index Per Article: 25.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/24/2019] [Revised: 04/10/2019] [Accepted: 05/05/2019] [Indexed: 06/09/2023]
Abstract
In China, the huge amounts of energy consumption caused severe carcinogenic polycyclic aromatic hydrocarbon (PAHs) concentration in the soil and ambient air. This paper summarized that the references published in 2008-2018 and suggested that biomass, coal and vehicular emissions were categorized as major sources of PAHs in China. In 2016, the emitted PAHs in China due to the incomplete combustion of fuel was about 32720 tonnes, and the contribution of the emission sources was the sequence: biomass combustion > residential coal combustion > vehicle > coke production > refine oil > power plant > natural gas combustion. The total amount of PAHs emission in China at 2016 was significantly decreased due to the decrease of the proportion of crop resides burning (indoor and open burning). The geographical distribution of PAHs concentration demonstrated that PAHs concentration in the urban soil is 0.092-4.733 μg/g. At 2008-2012, the serious PAHs concentration in the urban soil occurred in the eastern China, which was shifted to western China after 2012. The concentration of particulate and gaseous PAHs in China is 1-151 ng/m3 and 1.08-217 ng/m3, respectively. The concentration of particle-bound PAHs in the southwest and eastern region are lower than that in north and central region of China. The incremental lifetime cancer risk (ILCR) analysis demonstrates that ILCR in the soil and ambient air in China is below the acceptable cancer risk level of 10-6 recommended by US Environmental Protection Agency (EPA), which mean that there is a low potential PAHs carcinogenic risk for the soil and ambient air in China.
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Affiliation(s)
- Jun Han
- Hubei Key Laboratory for Efficient Utilization and Agglomeration of Metallurgic Mineral Resources, Wuhan University of Science and Technology, Wuhan, 430081, PR China; Hubei Provincial Industrial Safety Engineering Technology Research Center, Wuhan University of Science and Technology, Wuhan, 430081, PR China
| | - Yangshuo Liang
- Hubei Key Laboratory for Efficient Utilization and Agglomeration of Metallurgic Mineral Resources, Wuhan University of Science and Technology, Wuhan, 430081, PR China
| | - Bo Zhao
- Hubei Key Laboratory for Efficient Utilization and Agglomeration of Metallurgic Mineral Resources, Wuhan University of Science and Technology, Wuhan, 430081, PR China.
| | - Yu Wang
- Hubei Key Laboratory for Efficient Utilization and Agglomeration of Metallurgic Mineral Resources, Wuhan University of Science and Technology, Wuhan, 430081, PR China
| | - Futang Xing
- Hubei Key Laboratory for Efficient Utilization and Agglomeration of Metallurgic Mineral Resources, Wuhan University of Science and Technology, Wuhan, 430081, PR China
| | - Linbo Qin
- Hubei Key Laboratory for Efficient Utilization and Agglomeration of Metallurgic Mineral Resources, Wuhan University of Science and Technology, Wuhan, 430081, PR China.
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