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Brouwer D, Keretetse G, Nelson G. Quantitative Self-Assessment of Exposure to Solvents among Formal and Informal Nail Technicians in Johannesburg, South Africa. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:ijerph20085459. [PMID: 37107741 PMCID: PMC10139043 DOI: 10.3390/ijerph20085459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/04/2023] [Revised: 04/04/2023] [Accepted: 04/06/2023] [Indexed: 05/11/2023]
Abstract
Participatory research, including self-assessment of exposure (SAE), can engage study participants and reduce costs. The objective of this study was to investigate the feasibility and reliability of a SAE regime among nail technicians. The study was nested in a larger study, which included exposure assessment supervised by experts, i.e., controlled assessment of exposure (CAE). In the SAE approach, ten formal and ten informal nail technicians were verbally instructed to use a passive sampler and complete an activity sheet. Each participant conducted measurements on three consecutive days, whereafter the expert collected the passive samplers. Sixty samples were, thus, analyzed for twenty-one volatile organic compounds (VOCs). The reported concentrations of 11 VOCs were converted into total VOC (TVOC) concentrations, adjusted for their respective emission rates (adj TVOC) to allow comparison within and between nail technician categories (formal vs informal), as well as assessment regimes (SAE versus CAE), using the data from the main study. In total, 57 SAE and 58 CAE results were compared, using a linear mixed-effects model. There were variations in individual VOC concentrations, especially for the informal sector participants. The major contributors to the adj TVOC concentrations were acetone and 2-propanol for the formal category, whereas ethyl- and methyl methacrylate contributed most to the informal nail technicians' total exposures. No significant differences in adj TVOC-concentrations were observed between the assessment regimes, but significantly higher exposures were recorded in the formal technicians. The results show that the SAE approach is feasible in the informal service sector and can extend an exposure dataset to enable reliable estimates for scenarios with substantial exposure variations.
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Eriksen Hammer S, Daae HL, Kåsin K, Helmersmo K, Simensen V, Skaugset NP, Hassel E, Zardin E. Chemical characterization of combustion engine exhaust and assessment of helicopter deck operator occupational exposures on an offshore frigate class ship. JOURNAL OF OCCUPATIONAL AND ENVIRONMENTAL HYGIENE 2023; 20:170-182. [PMID: 36787211 DOI: 10.1080/15459624.2023.2180150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
Diesel engine exhaust (DE) consists of a complex mixture of gases and aerosols, originating from sources such as engines, turbines, and power generators. It is composed of a wide range of toxic compounds ranging from constituents that are irritating to those that are carcinogenic. The purposes of this work were to characterize DE originating from different engine types on a ship operating offshore and to quantify the potential exposure of workers on the ship's helicopter deck to select DE compounds. Sampling was conducted on a Norwegian Nansen-class frigate that included helicopter operations. Frigate engines and generators were fueled by marine diesel oil, while the helicopter engine was fueled by high flash point kerosene-type aviation fuel. Exhaust samples were collected directly from the stack of the diesel engine and one of the diesel generator exhaust stacks, inside a gas turbine exhaust stack, and at the exhaust outlet of the helicopter. To characterize the different exhaust sources, non-targeted screening of volatile and semi-volatile organic compounds was performed for multiple chemical classes. Some of the compounds detected at the sources are known irritants, such as phthalic anhydride, 2,5-dyphenyl-p-benzoquinone, styrene, cinnoline, and phenyl maleic anhydride. The exhaust from the diesel engine and diesel generator was found to contain the highest amounts of particulate matter and gaseous compounds, while the gas turbine had the lowest emissions. Personal exposure samples were collected outdoors in the breathing zone of a helicopter deck operator over nine working shifts, simultaneously with stationary measurements on the helicopter deck. Elemental carbon, nitrogen dioxide, and several volatile organic compounds are known to be present in DE, such as formaldehyde, acrolein, and phenol were specifically targeted. Measured DE exposures of the crew on the helicopter deck were variable, but less than the current European occupational exposure limits for all compounds, except elemental carbon, in which concentration varied between 0.5 and 37 µg/m3 over nine work shifts. These findings are among the first published for this type of working environment.
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Affiliation(s)
| | | | | | | | | | | | - Erlend Hassel
- Norwegian Armed Forces Occupational Health Service, Trondheim, Norway
- Department of Occupational Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
- Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - Erika Zardin
- National Institute of Occupational Health, Oslo, Norway
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Liu C, Nie W, Luo C, Hua Y, Yu F, Niu W, Zhang X, Zhang S, Xue Q, Sun N, Jiang C. Numerical study on temporal and spatial distribution of particulate matter under multi-vehicle working conditions. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 862:160710. [PMID: 36496015 DOI: 10.1016/j.scitotenv.2022.160710] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 11/27/2022] [Accepted: 12/02/2022] [Indexed: 06/17/2023]
Abstract
The high growth in the use of underground diesel vehicles has led to a large number of exhaust pollutants, especially particulate matter (PM), which is a serious threat to the lives and health of underground personnel. In this paper, based on numerical simulations and field measurements, the temporal and spatial distribution of PM in the exhaust of two vehicles and the impact on the health of underground personnel was analyzed. The results showed that in both conditions, the airflow velocity between two vehicles showed a zonal distribution, and there was an airflow vortex in the chamber under the interaction of the wind. When the vehicles were running in the same direction into the wind, PM with a concentration range of 15.79-26.32 mg/m3 could reach the height of the human respiratory belt and was mainly distributed on the east side of the roadway. Therefore, underground personnel should avoid approaching the right area of the vehicle body. In addition, PM concentration around the driver position of the vehicle was still higher than the human contact limit, so the drivers of the vehicle would need personal protection. When the vehicles were running in the same direction with the wind, compared with the airflow inlet side, the amount of PM on the airflow outlet side increased more obviously with time, especially for PM with a concentration range of 21.05-31.58 mg/m3. Also, partial PM flowed into the chamber with the airflow, such that personnel should avoid being located on the downwind side of the vehicle, and personnel in the chamber should also have personal protection.
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Affiliation(s)
- Chengyi Liu
- College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao 266590, Shandong Province, China; State Key Laboratory of Mining Disaster Prevention and Control Co-found by Shandong Province and the Ministry of Science and Technology, Shandong University of Science and Technology, Qingdao 266590, China
| | - Wen Nie
- College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao 266590, Shandong Province, China; State Key Laboratory of Mining Disaster Prevention and Control Co-found by Shandong Province and the Ministry of Science and Technology, Shandong University of Science and Technology, Qingdao 266590, China.
| | - Chongyang Luo
- College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao 266590, Shandong Province, China; State Key Laboratory of Mining Disaster Prevention and Control Co-found by Shandong Province and the Ministry of Science and Technology, Shandong University of Science and Technology, Qingdao 266590, China
| | - Yun Hua
- College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao 266590, Shandong Province, China; State Key Laboratory of Mining Disaster Prevention and Control Co-found by Shandong Province and the Ministry of Science and Technology, Shandong University of Science and Technology, Qingdao 266590, China
| | - Fengning Yu
- College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao 266590, Shandong Province, China; State Key Laboratory of Mining Disaster Prevention and Control Co-found by Shandong Province and the Ministry of Science and Technology, Shandong University of Science and Technology, Qingdao 266590, China
| | - Wenjin Niu
- College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao 266590, Shandong Province, China; State Key Laboratory of Mining Disaster Prevention and Control Co-found by Shandong Province and the Ministry of Science and Technology, Shandong University of Science and Technology, Qingdao 266590, China
| | - Xu Zhang
- College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao 266590, Shandong Province, China; State Key Laboratory of Mining Disaster Prevention and Control Co-found by Shandong Province and the Ministry of Science and Technology, Shandong University of Science and Technology, Qingdao 266590, China
| | - Shaobo Zhang
- College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao 266590, Shandong Province, China; State Key Laboratory of Mining Disaster Prevention and Control Co-found by Shandong Province and the Ministry of Science and Technology, Shandong University of Science and Technology, Qingdao 266590, China
| | - Qianqian Xue
- College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao 266590, Shandong Province, China; State Key Laboratory of Mining Disaster Prevention and Control Co-found by Shandong Province and the Ministry of Science and Technology, Shandong University of Science and Technology, Qingdao 266590, China
| | - Ning Sun
- College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao 266590, Shandong Province, China; State Key Laboratory of Mining Disaster Prevention and Control Co-found by Shandong Province and the Ministry of Science and Technology, Shandong University of Science and Technology, Qingdao 266590, China
| | - Chenwang Jiang
- College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao 266590, Shandong Province, China; State Key Laboratory of Mining Disaster Prevention and Control Co-found by Shandong Province and the Ministry of Science and Technology, Shandong University of Science and Technology, Qingdao 266590, China
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Hong Y, Cao F, Fan MY, Lin YC, Gul C, Yu M, Wu X, Zhai X, Zhang YL. Impacts of chemical degradation of levoglucosan on quantifying biomass burning contribution to carbonaceous aerosols: A case study in Northeast China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 819:152007. [PMID: 34856277 DOI: 10.1016/j.scitotenv.2021.152007] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Revised: 11/23/2021] [Accepted: 11/23/2021] [Indexed: 06/13/2023]
Abstract
Biomass burning (BB) is an important source of carbonaceous aerosols in Northeast China (NEC). Quantifying the original contribution of BB to organic carbon (OC) [BB-OC] can provide an essential scientific information for the policy-makers to formulate the control measures to improve the air quality in the NEC region. Daily PM2.5 samples were collected in the rural area of Changchun city over the NEC region from May 2017 to May 2018. In addition to carbon contents, BB tracers (e.g., levoglucosan and K+BB, defined as potassium from BB) were also determined, in order to investigate the relative contribution of BB-OC. The results showed that OC was the dominant (28%) components of PM2.5 during the sampling period. Higher concentrations of OC, levoglucosan, and K+BB were observed in the autumn followed by the winter, spring, and summer, indicating that the higher BB activities during autumn and winter in Changchun. By using the Bayesian mixing model, it was found that burning of crop residues were the dominant source (65-79%) of the BB aerosols in Changchun. During the sampling period, the aging in air mass (AAM) ratio was 0.14, indicating that ~86% of levoglucosan in Changchun was degraded. Without considering the degradation of levoglucosan in the atmosphere, the BB-OC ratios were 23%, 28%, 7%, and 4% in the autumn, winter, spring, and summer, respectively, which were 1.4-4.8 time lower than those (14-42%) with consideration of levoglucosan degradation. This illustrated that the relative contribution of BB to OC would be underestimated (~59%) without considering degradation effects of levoglucosan. Although some uncertainty was existed in our estimation, our results did highlight that the control of straw burning was an efficient way to decrease the airborne PM2.5, improving the air quality in the NEC plain.
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Affiliation(s)
- Yihang Hong
- Yale-NUIST Center on Atmospheric Environment, International Joint Laboratory on Climate and Environment Change, Nanjing University of Information Science and Technology, Nanjing 210044, China; Key Laboratory Meteorological Disaster, Ministry of Education & Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disaster, Nanjing University of Information Science and Technology, Nanjing 210044, China; Jiangsu Provincial Key Laboratory of Agricultural Meteorology, College of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Fang Cao
- Yale-NUIST Center on Atmospheric Environment, International Joint Laboratory on Climate and Environment Change, Nanjing University of Information Science and Technology, Nanjing 210044, China; Key Laboratory Meteorological Disaster, Ministry of Education & Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disaster, Nanjing University of Information Science and Technology, Nanjing 210044, China; Jiangsu Provincial Key Laboratory of Agricultural Meteorology, College of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, China.
| | - Mei-Yi Fan
- Yale-NUIST Center on Atmospheric Environment, International Joint Laboratory on Climate and Environment Change, Nanjing University of Information Science and Technology, Nanjing 210044, China; Key Laboratory Meteorological Disaster, Ministry of Education & Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disaster, Nanjing University of Information Science and Technology, Nanjing 210044, China; Jiangsu Provincial Key Laboratory of Agricultural Meteorology, College of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Yu-Chi Lin
- Yale-NUIST Center on Atmospheric Environment, International Joint Laboratory on Climate and Environment Change, Nanjing University of Information Science and Technology, Nanjing 210044, China; Key Laboratory Meteorological Disaster, Ministry of Education & Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disaster, Nanjing University of Information Science and Technology, Nanjing 210044, China; Jiangsu Provincial Key Laboratory of Agricultural Meteorology, College of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Chaman Gul
- Reading Academy, Nanjing University of Information Science and Technology, Nanjing, Jiangsu 210044, China
| | - Mingyuan Yu
- Yale-NUIST Center on Atmospheric Environment, International Joint Laboratory on Climate and Environment Change, Nanjing University of Information Science and Technology, Nanjing 210044, China; Key Laboratory Meteorological Disaster, Ministry of Education & Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disaster, Nanjing University of Information Science and Technology, Nanjing 210044, China; Jiangsu Provincial Key Laboratory of Agricultural Meteorology, College of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Xia Wu
- Yale-NUIST Center on Atmospheric Environment, International Joint Laboratory on Climate and Environment Change, Nanjing University of Information Science and Technology, Nanjing 210044, China; Key Laboratory Meteorological Disaster, Ministry of Education & Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disaster, Nanjing University of Information Science and Technology, Nanjing 210044, China; Jiangsu Provincial Key Laboratory of Agricultural Meteorology, College of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Xiaoyao Zhai
- Yale-NUIST Center on Atmospheric Environment, International Joint Laboratory on Climate and Environment Change, Nanjing University of Information Science and Technology, Nanjing 210044, China; Key Laboratory Meteorological Disaster, Ministry of Education & Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disaster, Nanjing University of Information Science and Technology, Nanjing 210044, China; Jiangsu Provincial Key Laboratory of Agricultural Meteorology, College of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Yan-Lin Zhang
- Yale-NUIST Center on Atmospheric Environment, International Joint Laboratory on Climate and Environment Change, Nanjing University of Information Science and Technology, Nanjing 210044, China; Key Laboratory Meteorological Disaster, Ministry of Education & Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disaster, Nanjing University of Information Science and Technology, Nanjing 210044, China; Jiangsu Provincial Key Laboratory of Agricultural Meteorology, College of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, China
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Underground emissions and miners' personal exposure to diesel and renewable diesel exhaust in a Swedish iron ore mine. Int Arch Occup Environ Health 2022; 95:1369-1388. [PMID: 35294627 PMCID: PMC9273542 DOI: 10.1007/s00420-022-01843-x] [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: 10/28/2021] [Accepted: 02/09/2022] [Indexed: 11/10/2022]
Abstract
Purpose Underground diesel exhaust exposure is an occupational health risk. It is not known how recent intensified emission legislation and use of renewable fuels have reduced or altered occupational exposures. We characterized these effects on multipollutant personal exposure to diesel exhaust and underground ambient air concentrations in an underground iron ore mine. Methods Full-shift personal sampling (12 workers) of elemental carbon (EC), nitrogen dioxide (NO2), polycyclic aromatic hydrocarbons (PAHs), and equivalent black carbon (eBC) was performed. The study used and validated eBC as an online proxy for occupational exposure to EC. Ambient air sampling of these pollutants and particle number size distribution and concentration were performed in the vicinity of the workers. Urine samples (27 workers) were collected after 8 h exposure and analyzed for PAH metabolites and effect biomarkers (8-oxodG for DNA oxidative damage, 4-HNE-MA for lipid peroxidation, 3-HPMA for acrolein). Results The personal exposures (geometric mean; GM) of the participating miners were 7 µg EC m−3 and 153 µg NO2 m−3, which are below the EU occupational exposure limits. However, exposures up to 94 µg EC m−3 and 1200 µg NO2 m−3 were observed. There was a tendency that the operators of vehicles complying with sharpened emission legislation had lower exposure of EC. eBC and NO2 correlated with EC, R = 0.94 and R = 0.66, respectively. No correlation was found between EC and the sum of 16 priority PAHs (GM 1790 ng m−3). Ratios between personal exposures and ambient concentrations were similar and close to 1 for EC and NO2, but significantly higher for PAHs. Semi-volatile PAHs may not be effectively reduced by the aftertreatment systems, and ambient area sampling did not predict the personal airborne PAHs exposure well, neither did the slightly elevated concentration of urinary PAH metabolites correlate with airborne PAH exposure. Conclusion Miners’ exposures to EC and NO2 were lower than those in older studies indicating the effect of sharpened emission legislation and new technologies. Using modern vehicles with diesel particulate filter (DPF) may have contributed to the lower ambient underground PM concentration and exposures. The semi-volatile behavior of the PAHs might have led to inefficient removal in the engines aftertreatment systems and delayed removal by the workplace ventilation system due to partitioning to indoor surfaces. The results indicate that secondary emissions can be an important source of gaseous PAH exposure in the mine. Supplementary Information The online version contains supplementary material available at 10.1007/s00420-022-01843-x.
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Ziembicki S, Kirkham TL, Demers PA, Peters CE, Gorman Ng M, Davies HW, Tenkate T, Kalenge S, Blagrove-Hall N, Jardine KJ, Arrandale VH. Diesel Engine Exhaust Exposure in the Ontario Civil Infrastructure Construction Industry. Ann Work Expo Health 2021; 66:150-162. [PMID: 34585719 DOI: 10.1093/annweh/wxab068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 07/26/2021] [Accepted: 08/06/2021] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVES Diesel engine exhaust (DEE) is a known lung carcinogen and a common occupational exposure in Canada. The use of diesel-powered equipment in the construction industry is particularly widespread, but little is known about DEE exposures in this work setting. The objective of this study was to determine exposure levels and identify and characterize key determinants of DEE exposure at construction sites in Ontario. METHODS Elemental carbon (EC, a surrogate of DEE exposure) measurements were collected at seven civil infrastructure construction worksites and one trades training facility in Ontario using NIOSH method 5040. Full-shift personal air samples were collected using a constant-flow pump and SKC aluminium cyclone with quartz fibre filters in a 37-mm cassette. Exposures were compared with published health-based limits, including the Dutch Expert Committee on Occupational Safety (DECOS) limit (1.03 µg m-3 respirable EC) and the Finnish Institute of Occupational Health (FIOH) recommendation (5 µg m-3 respirable EC). Mixed-effects linear regression was used to identify determinants of EC exposure. RESULTS In total, 149 EC samples were collected, ranging from <0.25 to 52.58 µg m-3 with a geometric mean (GM) of 3.71 µg m-3 [geometric standard deviation (GSD) = 3.32]. Overall, 41.6% of samples exceeded the FIOH limit, mostly within underground worksites (93.5%), and 90.6% exceeded the DECOS limit. Underground workers (GM = 13.20 µg m-3, GSD = 1.83) had exposures approximately four times higher than below grade workers (GM = 3.56 µg m-3, GSD = 1.94) and nine times higher than above ground workers (GM = 1.49 µg m-3, GSD = 1.75). Training facility exposures were similar to above ground workers (GM = 1.86 µg m-3, GSD = 4.12); however, exposures were highly variable. Work setting and enclosed cabins were identified as the key determinants of exposure in the final model (adjusted R2 = 0.72, P < 0.001). The highest DEE exposures were observed in underground workplaces and when using unenclosed cabins. CONCLUSIONS This study provides data on current DEE exposure in Canadian construction workers. Most exposures were above recommended health-based limits, albeit in other jurisdictions, signifying a need to further reduce DEE levels in construction. These results can inform a hazard reduction strategy including targeted intervention/control measures to reduce DEE exposure and the burden of occupational lung cancer.
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Affiliation(s)
- Stephanie Ziembicki
- Occupational Cancer Research Centre, Ontario Health, Toronto, ON, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Tracy L Kirkham
- Occupational Cancer Research Centre, Ontario Health, Toronto, ON, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Paul A Demers
- Occupational Cancer Research Centre, Ontario Health, Toronto, ON, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.,School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
| | - Cheryl E Peters
- Department of Cancer Epidemiology and Prevention Research, Alberta Health Services, Holy Cross Centre, AB, Canada.,Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, 3280 Hospital Drive NW, Calgary, AB, Canada.,Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,CAREX Canada, Faculty of Health Sciences, Simon Fraser University, Vancouver, BC, Canada
| | - Melanie Gorman Ng
- School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada.,BC Construction Safety Alliance, New Westminster, BC, Canada
| | - Hugh W Davies
- School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
| | - Thomas Tenkate
- School of Occupational and Public Health, Ryerson University, Toronto, ON, Canada
| | - Sheila Kalenge
- Occupational Cancer Research Centre, Ontario Health, Toronto, ON, Canada
| | | | | | - Victoria H Arrandale
- Occupational Cancer Research Centre, Ontario Health, Toronto, ON, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
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Audignon-Durand S, Gramond C, Ducamp S, Manangama G, Garrigou A, Delva F, Brochard P, Lacourt A. Development of a Job-Exposure Matrix for Ultrafine Particle Exposure: The MatPUF JEM. Ann Work Expo Health 2021; 65:516-527. [PMID: 33637984 DOI: 10.1093/annweh/wxaa126] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Revised: 11/13/2020] [Accepted: 11/19/2020] [Indexed: 01/07/2023] Open
Abstract
OBJECTIVE Ultrafine particles (UFPs) are generated from common work processes and have thus existed for a long time. Far more prevalent than engineered nanoparticles, they share common toxicological characteristics with them. However, there is no existing retrospective assessment tool specific to UFPs, for example, for epidemiological purposes. Thus, we aimed to develop a job-exposure matrix dedicated to UFPs. METHOD Fifty-seven work processes were identified as well as the chemical composition of UFPs emitted, following a literature review and the input of an expert panel. These work processes were associated with occupational codes as defined by the ISCO 1968 classification. The probability and frequency of UFP exposure were assessed for each combination of occupational code and process. Summarized probabilities and frequencies were then calculated for all ISCO occupational codes associated with several processes. Variations in exposure over time or across industrial sectors were accounted for in the assessment of each occupational code. RESULTS In the ISCO classification, 52.8% of the occupational codes (n = 835) assessed were associated with exposure to UFPs, consisting mainly of carbonaceous, metallic, and mineral families (39.5%, 22 and, 15.8%, respectively). Among them, 42.6% involved very probable exposure, and at a high frequency (regularly or continuously). CONCLUSION These results suggest that occupational exposure to UFPs may be extensive at the workplace and could concern a wide variety of workers. Pending the integration of a third parameter assessing the intensity of UFP exposure, the MatPUF JEM already constitutes a promising and easy-to-use tool to study the possible adverse health effects of UFPs at work. It may also guide prevention policies in the occupational environments concerned, including those involving engineered nanoparticles.
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Affiliation(s)
- Sabyne Audignon-Durand
- University of Bordeaux, Inserm UMR 1219 EPICENE Team, Bordeaux Population Health Research Center, 146 rue Léo Saignat, Bordeaux, France.,Bordeaux University Hospital, Service of Occupational Medicine and Occupational Pathology, 12 rue Dubernat, Talence, France
| | - Céline Gramond
- University of Bordeaux, Inserm UMR 1219 EPICENE Team, Bordeaux Population Health Research Center, 146 rue Léo Saignat, Bordeaux, France
| | - Stéphane Ducamp
- Santé Publique France, Division of Environmental and Occupational health, 12 rue du Val d'Osne, Saint Maurice, France
| | - Guyguy Manangama
- University of Bordeaux, Inserm UMR 1219 EPICENE Team, Bordeaux Population Health Research Center, 146 rue Léo Saignat, Bordeaux, France.,Bordeaux University Hospital, Service of Occupational Medicine and Occupational Pathology, 12 rue Dubernat, Talence, France
| | - Alain Garrigou
- University of Bordeaux, Inserm UMR 1219 EPICENE Team, Bordeaux Population Health Research Center, 146 rue Léo Saignat, Bordeaux, France
| | - Fleur Delva
- University of Bordeaux, Inserm UMR 1219 EPICENE Team, Bordeaux Population Health Research Center, 146 rue Léo Saignat, Bordeaux, France.,Bordeaux University Hospital, Service of Occupational Medicine and Occupational Pathology, 12 rue Dubernat, Talence, France
| | - Patrick Brochard
- University of Bordeaux, Inserm UMR 1219 EPICENE Team, Bordeaux Population Health Research Center, 146 rue Léo Saignat, Bordeaux, France.,Bordeaux University Hospital, Service of Occupational Medicine and Occupational Pathology, 12 rue Dubernat, Talence, France
| | - Aude Lacourt
- University of Bordeaux, Inserm UMR 1219 EPICENE Team, Bordeaux Population Health Research Center, 146 rue Léo Saignat, Bordeaux, France
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Exposure assessment of elemental carbon, polycyclic aromatic hydrocarbons and crystalline silica at the underground excavation sites for top-down construction buildings. PLoS One 2020; 15:e0239010. [PMID: 32925951 PMCID: PMC7489544 DOI: 10.1371/journal.pone.0239010] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Accepted: 08/27/2020] [Indexed: 11/19/2022] Open
Abstract
Enclosed underground excavation worksite has an environment with poor ventilation and exposure to hazardous substances from diesel engine exhaust and construction materials. The objective of this study was to evaluate the exposure level of elemental carbon (EC), organic carbon (OC), total carbon (TC), polycyclic aromatic hydrocarbons (PAHs), dust and crystalline silica (CS) during underground excavation work for top down construction buildings. Active local air sampling for EC, OC, and TC (n = 105), PAHs (n = 50), dust (n = 34) and CS (n = 34) was conducted from inside and outside the excavator at underground excavation workshop in four different construction sites. EC, OC, TC and CS were sampled with each respirable and total particulates. EC, OC, and TC were collected on quartz-filter and analyzed using the thermal optical transmittance method. PAHs was collected on polytetrafluorethylene filter with XAD-2 and analyzed using liquid chromatography with fluorescence detector. CS and particulates were collected on poly vinyl chloride filter and analyzed using fourier-transform infrared spectroscopy. The geometric mean of respirable EC, OC, TC, total PAHs, respirable dust and respirable CS were 8.69 μg/m3, 34.32 μg/m3, 44.96 μg/m3, 6.818 μg/m3 0.13 mg/m3 and 0.02 mg/m3 from inside the excavator and 33.20 μg/m3, 46.53 μg/m3, 78.21 μg/m3, 3.934 μg/m3, 0.9 mg/m3 and 0.08 mg/m3 from outside the excavator (underground excavation workshop), respectively. The EC and RCS concentration from outside the excavator is significantly higher than that of inside the excavator (p<0.01). The worksite with rock ground, higher vehicle density, blasting and enclosed environments had higher exposure to EC than other sites (p<0.05). There was no significant difference of EC concentration between total and respirable particulates. In top down construction sites, EC concentrations during underground excavation work exceeded recommended exposure limits as 20 μg/m3, accounted for about 50% of the total sample, and the level of concentration of RCS exceeded 1.5 times of occupational exposure limit, 0.05 mg/m3. Efforts are needed to minimize exposure to diesel engine exhaust and silica in underground excavation sites. Management of diesel engine vehicle, supply of fresh air and ventilation and introducing water facilities to create wet environment in underground worksites are strongly suggested.
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da Silveira Fleck A, Catto C, L'Espérance G, Masse JP, Roberge B, Debia M. Characterization and Quantification of Ultrafine Particles and Carbonaceous Components from Occupational Exposures to Diesel Particulate Matter in Selected Workplaces. Ann Work Expo Health 2020; 64:490-502. [PMID: 32266382 DOI: 10.1093/annweh/wxaa027] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Revised: 12/20/2019] [Accepted: 02/25/2020] [Indexed: 11/13/2022] Open
Abstract
Questions still exist regarding which indicator better estimates worker's exposure to diesel particulate matter (DPM) and, especially for ultrafine particles (UFP), how exposure levels and the characteristics of the particles vary in workplaces with different exposure conditions. This study aimed to quantify and characterize DPM exposures in three workplaces with different exposure levels: an underground mine, a subway tunnel, and a truck repair workshop. The same sampling strategy was used and included measurements of the particle number concentration (PNC), mass concentration, size distribution, transmission electron microscopy (TEM), and the characterization of carbonaceous fractions. The highest geometric means (GMs) of PNC and elemental carbon (EC) were measured in the mine [134 000 (geometric standard deviation, GSD = 1.5) particles cm-3 and 125 (GSD = 2.1) µg m-3], followed by the tunnel [32 800 (GSD = 1.7) particles cm-3 and 24.7 (GSD = 2.4) µg m-3], and the truck workshop [22 700 (GSD = 1.3) particles cm-3 and 2.7 (GSD = 2.4) µg m-3]. This gradient of exposure was also observed for total carbon (TC) and particulate matter. The TC/EC ratio was 1.4 in the mine, 2.5 in the tunnel and 8.7 in the workshop, indicating important organic carbon interference in the non-mining workplaces. EC and PNC were strongly correlated in the tunnel (r = 0.85; P < 0.01) and the workshop (r = 0.91; P < 0.001), but a moderate correlation was observed in the mine (r = 0.57; P < 0.05). Results from TEM showed individual carbon spheres between 10 and 56.5 nm organized in agglomerates, while results from the size distribution profiles showed bimodal distributions with a larger accumulation mode in the mine (93 nm) compared with the tunnel (39 nm) and the truck workshop (34 nm). In conclusion, the composition of the carbonaceous fraction varies according to the workplace, and can interfere with DPM estimation when TC is used as indicator. Also, the dominance of particles <100 nm in all workplaces, the high levels of PNC measured and the good correlation with EC suggest that UFP exposures should receive more attention on occupational routine measurements and regulations.
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Affiliation(s)
- Alan da Silveira Fleck
- Department of Environmental and Occupational Health, University of Montreal, Montreal, QC, Canada.,Centre de recherche en santé publique, Montreal, QC, Canada
| | - Cyril Catto
- Department of Environmental and Occupational Health, University of Montreal, Montreal, QC, Canada
| | - Gilles L'Espérance
- Department of Mathematical and Industrial Engineering, École Polytechnique de Montréal, Montréal, QC, Canada
| | - Jean-Philippe Masse
- Department of Mathematical and Industrial Engineering, École Polytechnique de Montréal, Montréal, QC, Canada
| | - Brigitte Roberge
- Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail (IRSST), Montréal, QC, Canada
| | - Maximilien Debia
- Department of Environmental and Occupational Health, University of Montreal, Montreal, QC, Canada.,Centre de recherche en santé publique, Montreal, QC, Canada
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Plato N, Lewné M, Gustavsson P. A historical job-exposure matrix for occupational exposure to diesel exhaust using elemental carbon as an indicator of exposure. ARCHIVES OF ENVIRONMENTAL & OCCUPATIONAL HEALTH 2019; 75:321-332. [PMID: 31368419 DOI: 10.1080/19338244.2019.1644277] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Any study of the long-term health effects of diesel exhaust exposure requires past exposure to be assessed. Few historical measurements of occupational exposure to elemental carbon (EC) are available, so past exposure must be assessed using models and judgments based on indirect data. A job-exposure matrix (JEM) for historical occupational exposure to diesel exhaust based on EC is presented. Past exposure to EC in occupations with a high exposure to diesel exhaust was assessed using an eight-step process. The assessments were based on technical specific data and NO2-exposure data, and a current EC-exposure measurement program. Finally, group assessment was carried out by consensus. Temporal variations in exposure were assessed for different groups. The matrix was constructed to assess annual average EC exposure for 72 occupations between 1950 and 2004. EC exposure between 1950 and 2004 varied between 1 and 247 µg/m3, for farmers in 2000 and miners in 1975 respectively, and was generally highest in the 1970s. The JEM allows lifetime diesel exhaust exposure intensity in 72 occupations to be assessed and used in epidemiological studies.
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Affiliation(s)
- Nils Plato
- Unit of Occupational Medicine, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Marie Lewné
- Unit of Occupational Medicine, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Centre for Occupational and Environmental Medicine, Stockholm County Council, Stockholm, Sweden
| | - Per Gustavsson
- Unit of Occupational Medicine, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Centre for Occupational and Environmental Medicine, Stockholm County Council, Stockholm, Sweden
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Berlinger B, Ellingsen DG, Romanova N, Friisk G, Daae HL, Weinbruch S, Skaugset NP, Thomassen Y. Elemental Carbon and Nitrogen Dioxide as Markers of Exposure to Diesel Exhaust in Selected Norwegian Industries. Ann Work Expo Health 2019; 63:349-358. [PMID: 30715098 DOI: 10.1093/annweh/wxy112] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2018] [Revised: 12/14/2018] [Accepted: 12/21/2018] [Indexed: 11/14/2022] Open
Abstract
Elemental carbon (EC) and nitrogen dioxide (NO2) in air as markers for diesel exhaust (DE) emission exposure were measured in selected work environments in Norway where diesel-powered engines are in use. Two hundred and ninety personal full-shift air samples were collected in primary aluminium production, underground and open-pit mining, road tunnel finishing, transport of ore, and among airport baggage handlers. EC was determined in the samples by a thermo-optical method, while NO2 was determined by ion chromatography. Highest EC air concentrations (geometric mean, GM) were found in aluminium smelters (GM = 45.5 μg m-3) followed by road tunnel finishing (GM = 37.8 μg m-3) and underground mining activities (GM = 18.9 μg m-3). Low EC air concentrations were measured for baggage handling at an international airport (GM = 2.7 μg m-3) and in an open-pit mine (GM = 1.2 μg m-3). Air concentrations of NO2 were similar in road tunnel finishing (GM = 128 μg m-3) and underground mining (GM = 108 μg m-3). Lower NO2 values were observed in open-pit mining (GM = 50 μg m-3), at the airport (GM = 37 μg m-3), and in the aluminium smelters (GM = 27 μg m-3). Highly significant (P < 0.001) positive correlations between NO2 and EC air concentrations in underground mining (r = 0.54) and road tunnel finishing (r = 0.71) indicate a common source of these pollutants. NO2 and EC were also correlated (P < 0.01) positively at the airport. However, due to the complex air chemistry and a potential contribution of various sources, the correlation between EC and NO2 cannot be regarded as unambiguous hint for a common source. The association between EC and NO2 was not of statistical significance in open-pit mining. In the aluminium smelters, EC and NO2 were negatively correlated, although not reaching statistical significance. The substantial differences in NO2/EC ratios across the investigated industries, ranging from around 0.2 in the primary aluminium production to around 25 during spring at the airport, clearly show that exposure to DE cannot be estimated based on NO2 concentrations, at least for outdoor environments. Results in the primary aluminium production suggest that the measured EC concentrations are related to DE emissions, although the NO2 concentrations were low. Further studies are required to assess the magnitude of exposure in primary aluminium production.
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Affiliation(s)
- Balázs Berlinger
- Department of Chemical and Biological Work Environment, National Institute of Occupational Health, Oslo, Norway
| | - Dag G Ellingsen
- Department of Chemical and Biological Work Environment, National Institute of Occupational Health, Oslo, Norway
| | - Natalya Romanova
- North-West Public Health Research Centre, St. Petersburg, Russia
| | - Grete Friisk
- Department of Chemical and Biological Work Environment, National Institute of Occupational Health, Oslo, Norway
| | - Hanne Line Daae
- Department of Chemical and Biological Work Environment, National Institute of Occupational Health, Oslo, Norway
| | - Stephan Weinbruch
- Department of Chemical and Biological Work Environment, National Institute of Occupational Health, Oslo, Norway.,Institute of Applied Geosciences, Technical University Darmstadt, Schnittspahnstr. 9, D-64287 Darmstadt, Germany
| | - Nils Petter Skaugset
- Department of Chemical and Biological Work Environment, National Institute of Occupational Health, Oslo, Norway
| | - Yngvar Thomassen
- Department of Chemical and Biological Work Environment, National Institute of Occupational Health, Oslo, Norway
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da Silveira Fleck A, Couture C, Sauvé JF, Njanga PE, Neesham-Grenon E, Lachapelle G, Coulombe H, Hallé S, Aubin S, Lavoué J, Debia M. Diesel engine exhaust exposure in underground mines: Comparison between different surrogates of particulate exposure. JOURNAL OF OCCUPATIONAL AND ENVIRONMENTAL HYGIENE 2018; 15:549-558. [PMID: 29608441 DOI: 10.1080/15459624.2018.1459044] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Exposure to diesel particulate matter (DPM) is frequently assessed by measuring indicators of carbon speciation, but these measurements may be affected by organic carbon (OC) interference. Furthermore, there are still questions regarding the reliability of direct-reading instruments (DRI) for measuring DPM, since these instruments are not specific and may be interfered by other aerosol sources. This study aimed to assess DPM exposure in 2 underground mines by filter-based methods and DRI and to assess the relationship between the measures of elemental carbon (EC) and the DRI to verify the association of these instruments to DPM. Filter-based methods of respirable combustible dust (RCD), EC, and total carbon (TC) were used to measure levels of personal and ambient DPM. For ambient measurements, DRI were used to monitor particle number concentration (PNC; PTrak), particle mass concentration (DustTrak DRX and DustTrak 8520), and the submicron fraction of EC (EC1;Airtec). The association between ambient EC and the DRI was assessed by Spearman correlation. Geometric mean concentrations of RCD, respirable TC (TCR) and respirable elemental EC (ECR) were 170 µg/m3, 148 µg/m3, and 83 µg/m3 for personal samples, and 197 µg/m3, 151 µg/m3, and 100 µg/m3 for ambient samples. Personal measurements had higher TCR:ECR ratios compared to ambient samples (1.8 vs. 1.50) and weaker association between ECR and TCR. Among the DRI, the measures of EC1 by the Airtec (ρ = 0.86; P < 0.001) and the respirable particles by the DustTrak 8520 (ρ = 0.74; P < 0.001) showed the strongest association with EC, while PNC showed a weak and non-significant association with EC. In conclusion, this study provided important information about the concentrations of DPM in underground mines by measuring several indicators using filter-based methods and DRI. Among the DRI, the Airtec proved to be a good tool for estimating EC concentrations and, although the DustTrak showed good association with EC, interferences from other aerosol sources should be considered when using this instrument to assess DPM.
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Affiliation(s)
- Alan da Silveira Fleck
- a Department of Environmental and Occupational Health , School of Public Health, Université de Montréal , Montreal , Canada
| | - Caroline Couture
- a Department of Environmental and Occupational Health , School of Public Health, Université de Montréal , Montreal , Canada
| | - Jean-François Sauvé
- a Department of Environmental and Occupational Health , School of Public Health, Université de Montréal , Montreal , Canada
| | - Pierre-Eric Njanga
- b Department of Mechanical Engineering , École de Technologie Supérieure , Montreal , Canada
| | - Eve Neesham-Grenon
- a Department of Environmental and Occupational Health , School of Public Health, Université de Montréal , Montreal , Canada
| | | | - Hugo Coulombe
- d Health and Safety, Westwood Mine (IAMGOLD), Chemin Arthur Doyon , Preissac , Canada
| | - Stéphane Hallé
- b Department of Mechanical Engineering , École de Technologie Supérieure , Montreal , Canada
| | - Simon Aubin
- e Institut de recherche Robert-Sauvé en Santé et en Sécurité du Travail (IRSST) , Montreal , Canada
| | - Jérôme Lavoué
- a Department of Environmental and Occupational Health , School of Public Health, Université de Montréal , Montreal , Canada
| | - Maximilien Debia
- a Department of Environmental and Occupational Health , School of Public Health, Université de Montréal , Montreal , Canada
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