| Literature DB >> 35792774 |
Razzagh Rahimpoor1, Fatemeh Sarvi2, Samira Rahimnejad3, Seyed Mohammad Ebrahimi4.
Abstract
The aim of introducing occupational exposure limits (OELs) is to use them as a risk management tool in order to protect workers' health and well-being against harmful agents at the workplace. In this review we identify OELs for benzene, toluene, ethylbenzene, xylene (BTEX), and styrene concentrations in air and assess occupational exposure to these compounds through a systematic literature search of publications published in West Asian countries from 1980 to 2021. OELs for BTEX and styrene have been set in Iran and Turkey to levels similar to those in European countries and the US. The search yielded 49 full-text articles that cover studies of exposure assessment in six countries, but most (n=40) regard Iran. Average occupational exposure to benzene of workers in oil-related industries is higher than recommended OEL, while average occupational exposure to other compounds is lower than local OELs (where they exist). Currently, information about levels of occupational exposure to BTEX and styrene is insufficient in West Asian countries, which should be remedied through OEL regulation and application. Furthermore, coherent research is also needed to determine actual levels of occupational exposure, dose-responses, and the economic and technical capacity of local industries to address current issues.Entities:
Keywords: OEL; benzen; benzene; ethylbenzene; etilbenzen; ksilen; naftna industrija; oil industry; risk management; toluen; toluene; upravljanje rizikom; xylene
Mesh:
Substances:
Year: 2022 PMID: 35792774 PMCID: PMC9287831 DOI: 10.2478/aiht-2022-73-3634
Source DB: PubMed Journal: Arh Hig Rada Toksikol ISSN: 0004-1254 Impact factor: 2.078
Search strategy for articles on occupational exposure to BTEX and styrene across major literature databases (slight differences in search strings are owed to different functionality of these systems)
| Web of Science | ( |
| Scopus | |
| PubMed | (Benzene [Title/Abstract] OR Toluene [Title/Abstract] OR Ethylbenzene [Title/Abstract] OR Xylenes [Title/Abstract] OR Styrene [Title/Abstract] OR Volatile Organic compound [Title/Abstract]) |
| Cochrane Library | (Benzene [Title Abstract Keywords] OR Toluene [Title Abstract Keywords] OR Ethylbenzene [Title Abstract Keywords] OR Xylenes [Title Abstract Keywords] OR Styrene [Title Abstract Keywords] OR Volatile Organic compound [Title/Abstract]) |
| CINAHL (EBSCO) | (Benzene [Title/Abstract] OR Toluene [Title/Abstract] OR Ethylbenzene [Title/Abstract] OR Xylenes [Title/Abstract] OR Styrene [Title/Abstract] OR Volatile Organic compound [Title/Abstract]) |
| Embase | |
| Science direct from inception |
MESH terms in PubMed and Cochrane including: benzene, toluene, ethylbenzene, VOCs, occupational exposure, occupations, occupational groups, Asia western, oil and gas industry, threshold limit values
Figure 1Search steps to identify full-text articles about occupational exposure in West Asian countries
Comparison of existing OELs and DNELs of BTEX and styrene by institutions and countries
| Institution or country | Benzene | Toluene | Ethylbenzene | Xylene (isomers) | Styrene | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| mg/m3 | ppm | mg/m3 | ppm | mg/m3 | ppm | mg/m3 | ppm | mg/m3 | ppm | |
| ACGIH, USA | 1.6 | 0.5 | 75.37 | 20 | 86.84 | 20 | 434.19 | 100 | 85.19 | 20 |
| OSHA, USA | 3.19 | 1 | 376.85 | 100 | 434.22 | 100 | 434.19 | 100 | 212.99 | 50 |
| NIOSH, USA | 0.32 | 0.1 | 753.7 | 200 | 434.22 | 100 | 434.19 | 100 | 425.97 | 100 |
| Australia | 3.19 | 1 | 188.43 | 50 | 434.22 | 100 | 347.35 | 80 | (monomer) 212.99 | (monomer) 50 |
| Brazil | - | - | 293.94 | 78 | 338.69 | 78 | 338.67 | 78 | - | - |
| Canada | 1.6 | 0.5 | 75.37 | 20 | 86.84 | 20 | 434.19 | 100 | (monomer) 149.09 | (monomer) 35 |
| Japan | 3.19 | 1 | 188.43 | 50 | 86.84 | 20 | 217.1 | 50 | 85.19 | 20 |
| South Korea | 3.19 | 1 | ||||||||
| MAK, Germany | - | - | 188.43 | 50 | 86.84 | 20 | 217.1 | 50 | 85.19 | 20 |
| AGS, Germany | 1.92 | 0.6 | - | - | - | - | - | - | - | - |
| Netherlands | (0.19*) 0.7 | (0.06*) 0.22 | 150.74 | 40 | 214.07 | 49.3 | 217.1 | 50 | ||
| Poland | 1.6 | 0.5 | 99.87 | 26.5 | 198.87 | 45.8 | 99.86 | 23 | 49.84 | 11.7 |
| United Kingdom | 3.19 | 1 | 188.43 | 50 | 434.22 | 100 | 217.1 | 50 | 425.97 | 100 |
| European Union | 0.32 | 0.1 | 188.43 | 50 | 434.22 | 100 | 217.1 | 50 | - | - |
| REACH RAC | 0.16 | 0.05 | - | - | - | - | - | - | - | - |
| REACH DNELs** | 0.8 | 0.25 | 192 | 50 | 77 | 100 | 221 | 50 | 85 | 23.5 |
| Iran | 1.6 | 0.5 | 75.37 | 20 | 86.84 | 20 | 434.19 | 100 | 85.19 | 20 |
| Turkey | 0.32 | 0.1 | 188.43 | 50 | 434.22 | 100 | 217.1 | 50 | - | - |
* Value corresponding to the proposed tolerable cancer risk, 4:1000 (value corresponding to the proposed preliminary acceptable cancer risk, 4:10000).
** DNELs – derived no-effect levels for workers with long-term inhalation exposure submitted by registrants (available at: https://echa.europa.eu/information-on-chemicals/registered-substances); values calculated to ppm by authors. ACGIH – American Conference of Governmental Industrial Hygienists; AGS – German Committee on Hazardous Substances (Ausschuss für Gefahrstoffe); MAK – German maximum workplace concentrations; NIOSH – National Institute for Occupational Safety and Health; OSHA – Occupational Safety and Health Administration; RAC – Committee for Risk Assessment; REACH – Registration, Evaluation, Authorisation and Restriction of Chemicals
Summary of occupational exposure to BTEX and styrene in West Asian countries from data gathered from 49 published articles between 1999 and 2021 (mean ± SD)
| References | Publication type | Country | Type of sampling | Industry or workplace | Number of workers (exposed vs unexposed) | Concentration (ppm) Mean ± SD | ||||
|---|---|---|---|---|---|---|---|---|---|---|
| Benzene | Toluene | Ethylbenzene | Xylene | Styrene | ||||||
| (Alabdulhadi et al., 2019) ( | Cross-sectional | Kuwait | Static | Printing industry | - | 0.0028±0.076 | 0.062±0.101 | 0.118±0.071 | 0.311±0.174 | - |
| (Alfoldy et al., 2019) ( | Cross-sectional | Qatar | Static | Traffic Petrochemical police, | - | 0.038±0.025 | 0.07±0.05 | 0.007±0.009 | 0.009±0.007 | - |
| (Al-Harbi et al., 2020) ( | Cross-sectional | Kuwait | Static | Gasoline station | - | 0.23±0.062 | 0.144±0.07 | 0.085±0.07 | 0.16±0.12 | - |
| (Azari et al., 2012) ( | Cross-sectional | Iran | Personal | Shoe factory | 12 (12:0) |
| 14.24±1.77 | - | - | - |
| (Baghani et al., 2018) ( | Cross-sectional | Iran | Static | Beauty salon | - | 0.01±0.009 | 0.0045±0.0041 | 0.0143±0.007 | 0.0031 ±0.002 | - |
| (Bagham et al., 2019) ( | Cross-sectional | Iran | Static | Gas station & CNG | - | 0.145±0.045 | 0.231±0.053 | 0.113±0.031 | 0.209±0.016 | - |
| (Bahrami et al., 2007) ( | Cross-sectional | Iran | Personal | Petrol station | 145 (80:65) |
| - | - | - | - |
| (Bakhtian et al., 2018) ( | Cross-sectional | Iran | Static | Taxi driver | - | 0.088±0.008 | 0.088±0.011 | 0.073±0.009 | 0.126±0.015 | - |
| (BakoIlu et al., 2004) ( | Cross-sectional | Turkey | Static | Incinerator Waste | - |
| 0.051±0.003 | 0.015±0.03 | 0.041 ±0.08 | 0.0057 |
| (Dehgham et al., 2020) ( | Cohort | Iran | Personal | Steel factory | 372 (372:0) |
| 4.08±3.25 | 0.32±1.39 | 1.38± 1.35 | - |
| (El-Hashemy and Ali, 2018) ( | Cross-sectional | Arabia Saudi | Static | Printing copy centre and | - | 0.0067±0.002 | 0.253±0.032 | 0.022±0.005 | 0.73±0.005 | - |
| (Farshad et al., 2014) ( | Cross-sectional | Iran | Static | Waste hospital disposal in | - |
| 1.23±1.1 | 1.18± 1.2 | 0.58±0.6 | - |
| (Golbabaei et al., 2018) ( | Cross-sectional | Iran | Personal | Automobile Industry | 40 (36:4) |
| 0.28±0.08 | 2±0.2 | 3.02±0.08 | - |
| (Golkhorshidi et al., 2019) ( | Cross-sectional | Iran | Static | Bus terminal driver: | - | 0.108±0.001 | 0.235±0.002 | 0.188±0.001 | 0.304±0.06 | - |
| (Hadei et al., 2018) ( | Case-control | Iran | Static | Beauty salon | - | 0.0034±0.002 | 0.0026±0.0018 | 0.0054±0.004 | 0.0043±0.006 | - |
| (Harati et al., 2018) ( | Case-control | Iran | Personal | Automobile Industry | 80 (40:40) |
| 1.2±2.08 | 45.8±8.5 | 42.5±23.9 | - |
| (Harati et al., 2020) ( | Cross-sectional | Iran | Personal | Petrochemical industry | 50 (50:0) |
| 9.84±2.53 | - | 11.87±4.44 | - |
| (Heibati et al., 2018) ( | Cross-sectional | Iran | Personal | transfer Petroleum station | 50 (50:0) |
| 4.07±3.65 | 0.535±0.412 | 0.752±0.812 | - |
| (Hormozi et al., 2019) ( | Case-control | Iran | Personal | Printing industry | 84 (44:40) | - |
| - |
| - |
| (Hosseini et al., 2015) ( | Cross-sectional | Iran | Personal | Tyre Factory | 100 (100:0) |
| 3.2±2.79 | - | - | - |
| (Jalai et al., 2017) ( | Cross-sectional | Iran | Personal | industry Chemical & police officer | 260 (185:75) |
| - | - | - | |
| (Javadi et al., 2017) ( | Cross-sectional | Iran | Personal | Petrol station | 24 (24:0) |
| 0.242±0.033 | 0.223±0.041 | 0.109±0.025 | - |
| (Karbasi et al., 2020) ( | Cross-sectional | Iran | Personal | Oil pit worker | 40 (40:0) |
| - | - | - | - |
| (Maghsodi Moghadam et al., 2013) ( | Cross-sectional | Iran | Personal | Petrochemical industry | 204 (204:0) |
| 0.27±0.50 | 0.16±0.59 | 0.8±2.7 | - |
| (Mohamadyan et al., 2019) ( | Cross-sectional | Iran | Personal | Plastic industry | 53 (53:0) | - | - | - | - | 19.56±9.03 |
| (Mohammadyan and Baharfar, 2015) ( | Cross-sectional | Iran | Personal | Pesticide production factory | 100 (100:0) | - | 4.7±5.5 | - | ||
| (Mohammadyan et al., 2019) ( | Cross-sectional | Iran | Personal | Electronic industry | 59 (59:0) | - | - | - | - | 18.68±5.68 |
| (Moradi et al., 2019) ( | Case-control | Iran | Personal | Beauty salon | 72 (36:36) | 0.015±0.019 | 0.31±0.36 | 0.017±0.021 | 0.055±0.051 | - |
| (Moradpour et al., 2017) ( | Cross-sectional | Iran | Personal | Petrochemical industry | 358 (358:0) |
| 9.19±1.68 | 11.56±2.94 | 8.88±2.46 | 8.45±8.29 |
| (Moshiran et al., 2021) ( | Cross-sectional | Iran | Personal | Petrochemical industry | 50 (50:0) | - | - | - | - | 0.455±0.392 |
| (Moslem et al., 2020) ( | Cross-sectional | Iran | Static | Surgery room | - | 0.003±0.0005 | 0.002±0.0004 | 0.004±0.0006 | 0.001±0.0003 | - |
| (Nabizadeh et al., 2020) ( | Cross-sectional | Iran | Static | Paper recycling | - | 0.27±0.01 | 0.28±0.01 | 0.151±0.02 | 1.7±0.007 | - |
| (Nassiri and Golbabai, 1999) ( | Cross-sectional | Iran | Personal | Paint industry | 54 (54:0) | - | 11.2±7.3 | 20.2±4.1 | - | |
| (Nazarparvar-Noshadi et al., 2021) ( | Cross-sectional | Iran | Personal | Tyre factory | 38 (38:0) |
| 8.65±7.7 | 0.07±0.09 | 0.10±0.14 | 0.07±0.08 |
| (Neghab et al., 2015) ( | Cross-sectional | Iran | Personal | Petrol station | 60 (60:0) | 0.25±0.083 | 0.39±0.071 | - | 0.69±0.36 | - |
| (Omidi et al., 2019) ( | Cross-sectional | Iran | Personal | slaughterhouse Poultry | 20 (20:0) |
| 3.65±1.12 | 15.4±0.68 | - | - |
| (Partovi et al., 2018) ( | Cross-sectional | Israel | Personal | Petrol station | 258 (258:0) |
| - | - | - | - |
| (Rahimpoor et al., 2014) ( | Cross-sectional | Iran | Personal | Petrochemical industry | 104 (104:0) |
| 1.3±4.74 | - | 3.2±7.94 | - |
| (Rahimpour et al., 2018) ( | Cross-sectional | Iran | Personal | Petrochemical and petroleum depot industry | 84 (84:0) |
| 12.42±5.95 | - | 32.24±22.1 | - |
| (Ramadan, 2010) ( | Cross-sectional | Kuwait | Static | Police officer | - | 0.004±0.001 | 0.01±0.008 | 0.0026±0.003 | 0.0138±0.008 | - |
| (Rashnuodi et al., 2021) ( | Cross-sectional | Iran | Personal | Petrochemical industry | 30 (30:0) |
| 2.62±4.50 | 4.45±7.35 | 2.41 ±1.07 | - |
| (Rezazadeh Azari et al., 2012) ( | Case-control | Iran | Personal | Petroleum industry depot | 78 (46:32) |
| 2.72±19.33 | 0.46±1.61 | 3.53±10.84 | - |
| (Rostami et al., 2021) ( | Cross-sectional | Iran | Personal | Printing copy centre and | 136 (136:0) | 0.029±0.019 | 0.039±0.026 | 0.007±0.0038 | 0.006±0.003 | - |
| (Salama et al., 2020) ( | Cross-sectional | Saudi Arabia | Static | Petrol station | - |
| 4.09±1.09 | - | 3.97±2.25 | - |
| (Salehpour et al., 2019) ( | Cross-sectional | Iran | Personal | Petrochemical industry | 80 (40:40) |
| 5.6±13.66 | - | 8.19±22.20 | 3.48±10.75 |
| (Sarkhosh et al., 2012) ( | Cross-sectional | Iran | Static | Printing copy centre and | - | 0.0257±0.029 | 0.0713±0.0328 | 0.0083±0.056 | 0.0063±0.024 | 0.0316±0.0352 |
| (Shanh et al., 2017) ( | Cross-sectional | Iran | Personal | Petrochemical industry | 169 (169:0) |
| 1.21±4.17 | 2.975±6.125 | 3.6±4.32 | 1.97±3.01 |
| (Yaghmaien et al., 2019) ( | Cross-sectional | Iran | Personal | Landfill plant | - | 0.009±0.005 | 0.011±0.006 | 0.014±0.009 | 0.024±0.014 | - |
| (Zoleikha et al., 2017) ( | Cross-sectional | Iran | Personal | Petrol station | 15 (15:0) |
| 0.337±0.71 | 0.124±0.13 | 0.092±0.012 | - |
* above ACGIH OELs (benzene 0.5 ppm; toluene 20 ppm; ethylbenzene 20 ppm; xylene 100 ppm; styrene 20 ppm). #above national OELs. SD — standard deviation
Occupational exposure to BTEX and styrene reported for oil-related and solvent-related professions in West Asian countries (mean ± SD, where available)
| Country | National OELs | Industry | Benzene (ppm) | Toluene (ppm) | Ethylbenzene (ppm) | Xylenes (ppm) | Styrene (ppm) |
|---|---|---|---|---|---|---|---|
| Qatar | No | Oil-related | 0.39 | 7.02 | 0.75 | 0.32 | - |
| Solvent-related | 0.004 | 0.012 | 0.0046 | 0.016 | - | ||
| Kuwait | No | Oil-related | 0.23 | 0.144 | 0.085 | 0.16 | - |
| Solvent-related | 0.003±0.038 | 0.03±0.05 | 0.0063±0.03 | 0.162±0.09 | - | ||
| Iran | Yes | Oil-related |
| 5.87±8.18 | 2.28±8.93 | 12.104±17.7 | 3.588±4.52 |
| Solvent-related |
| 4.53±4.01 | 4.34±5.11 | 10.56±12.28 | 9.585±3.70 | ||
| Turkey | Yes | Oil-related |
| 0.051 | 0.015 | 0.041 | 0.0057 |
| (except for styrene) | Solvent-related |
|
|
|
|
| |
| Saudi | No | Oil-related |
| 4.09 | - | 3.97 | - |
| Arabia | Solvent-related | 0.0067 | 0.253 | 0.022 | 0.73 | - | |
| Israel | No | Oil-related | 0.41 |
|
|
|
|
| Solvent-related |
|
|
|
|
|
* above ACGIH OELs; above national OELs; SD – standard deviation