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Gas stations distributed around densely populated areas are responsible for toxic pollutant emissions such as volatile organic compounds (VOCs). This study aims to measure VOCs emission from three different kinds of gas stations to determine the extent of pollution from the gas stations and the most frequent type of VOC compound emitted. The concentrations of ambient VOCs at three refueling stations with a different type of fuels in Mashhad were monitored. The result of this study showed that CNG fuel stations are less polluting than petrol stations. In all the studied sites, the highest concentrations were related to xylene isomers, irrespective of the fuel type. Total VOCs at the supply of both compressed natural gas (CNG) and gasoline stations was 482.36 ± 563.45 µg m −3 . At a CNG station and a gasoline station, total VOC concentrations were 1363.4 ± 1975 µg m −3 and 410.29 ± 483.37 µg m −3 , respectively. The differences in concentrations of toluene and m,p-xylene between the fuel stations can be related to the quality and type of fuel, vapor recovery technology, fuel reserves, dripless nozzles, traffic density in these stations, meteorological conditions and the location of sampling sites. The combination of a sine function and a quadratic function could model the fluctuation behavior of air pollutants like m,p-xylene. In all the sites, the highest concentrations were related to xylene isomers, irrespective of the type of fuel. The changing rate of m,p-xylene pollutant in each station was also modeled in this study.

This cross-sectional study examined the risk factors affecting adverse health effects from benzene exposure among gasoline station workers in Khon Kean province, Thailand. An interview questionnaire of adverse symptoms relating to benzene toxicity was administered to 151 workers. Area samplings for benzene concentration and spot urine for tt-muconic acid (tt-MA), a biomarker of benzene exposure, were collected. The factors associated with adverse symptoms were analysed by using multiple logistic regression. It was found that these symptoms mostly affected fuelling workers (77.5%), and the detected air benzene reached an action level or higher than 50% of NIOSH REL (>50 ppb). The top five adverse symptoms, i.e., fatigue, headache, dizziness, nasal congestion, and runny nose, were reported among workers exposed to benzene. More specific symptoms of benzene toxicity were chest pain, bleeding/epistaxis, and anaemia. The detected tt-MA of workers was 506.7 ug/g Cr (IQR), which was a value above the BEI and higher than that of asymptomatic workers. Risk factors significantly associated with adverse symptoms, included having no safety training experience (ORadj = 5.22; 95% CI: 2.16–12.58) and eating during work hours (ORadj = 16.08; 95% CI: 1.96–131.74). This study urges the tightening of health and safety standards at gasoline stations to include training and eating restrictions while working in hazardous areas.

Background: Research on the proteomes impact of benzene exposure in fuel station employees remains sparse, underscoring the need for detailed health impact assessments focusing on biomarker evaluation. Objectives: This investigation aimed to analyze the differences in blood parameters and serum proteomes resulting from benzene exposure between gasoline station attendants (B-GSA) and a control group. Design and methods: A cross-sectional analytical study was conducted with 96 participants, comprising 54 in the B-GSA group and 42 in the control group. The methodology employed included an interview questionnaire alongside urine and blood sample collections. The urine samples were analyzed for trans,trans-muconic acid (t,t-MA) levels, while the blood samples underwent complete blood count analysis and proteome profiling. Results: Post-shift analysis indicated that the B-GSA group exhibited significantly higher levels of t,t-MA and monocytes compared to the control group (P < .05). Proteome quantification identified 1448 proteins differentially expressed between the B-GSA and control groups. Among these, 20 proteins correlated with the levels of t,t-MA in urine. Notably, 4 proteins demonstrated more than a 2-fold down-regulation in the B-GSA group: HBS1-like, non-structural maintenance of chromosomes element 1 homolog, proprotein convertase subtilisin/kexin type 4, and zinc finger protein 658. The KEGG pathway analysis revealed associations with apoptosis, cancer pathways, p53 signaling, and the TNF signaling pathway. Conclusion: The changes in these 4 significant proteins may elucidate the molecular mechanisms underlying benzene toxicity and suggest their potential as biomarkers for benzene poisoning in future assessments.

We empirically investigate how and why price levels differ across gasoline stations, using the first full year from a novel panel data set including price quotes from virtually all gas stations in Germany. Our analysis specifically explores the role of station heterogeneity in explaining price differences across gasoline stations. Key determinants of price levels are found to be ex-refinery prices as key input costs, a station’s location on roads or highway service areas, and brand recognition. A lower number of station-specific services implies lower fuel price levels, as does a more heterogeneous local competitive environment.

Gasoline station attendants spend a great deal of their time in the direct exposure to noxious substances such as benzene and byproducts of gasoline combustion. Such occupational exposure increases the risk of oxidative stress. This study aimed to evaluate hematological and biochemical alterations among petrol station workers. Forty gas station attendants and 39 non-attendants were recruited as exposed and control subjects, respectively. Plasma samples were evaluated for hemoglobin, hematocrit, and red blood cell count via the Sysmex KX-21 analyzer. Then, oxidized hemoglobin, methemoglobin, and hemichrome were measured spectrophotometrically. Moreover, serum antioxidant capacity and protein oxidation were evaluated. The means ± SD of hemoglobin (16.76 ± 0.14 g/dl vs 15.25 ± 0.14 g/dl), hematocrit (49.11 ± 0.36% vs 45.37 ± 0.31%), RBC count (5.85 ± 0.06 mil/μl vs 5.33 ± 0.06 mil/μl), Met-HB (1.07 ± 0.07 g/dl vs 0.39 ± 0.04 g/dl), and hemichrome (0.80 ± 0.07 g/dl vs 0.37 ± 0.02 g/dl) in the exposed group were significantly greater than the control group ( P  < 0.001). The results of the independent-sample t test illustrated that the FRAP test value in the exposed group (0.23 ± 0.01 mM) was significantly lower than the control group (0.34 ± 0.01 mM), while the value of the plasma protein carbonyl test in the exposed group (7.47 ± 0.33 mmol/mg protein) was meaningfully greater than the control group (5.81 ± 0.19 mmol/mg protein) ( P  < 0.001). In conclusion, gas station attendants suffer from higher levels of oxidative stress, and they need to take antioxidants in order to minimize the effects of oxidative stress.

Objective This study assessed the health risk of benzene exposure among Thai gasoline station workers through biomarker detection and experience of adverse symptoms. Methods Trans, trans‐muconic acid (tt‐MA) metabolites of benzene were analyzed from spot urine sampled among gasoline station workers after shift work using HPLC‐UV. Air benzene monitoring was done with an active sampler connected to a charcoal sorbent tube, and analyzed by GC‐FID. The health risk was calculated by using the biomatrix of the likelihood of benzene exposure and the severity of adverse symptoms. Results The tt‐MA concentration, among 235 workers, ranged from less than 10–2159 µg/g Cr, which corresponded to the air benzene concentration range of <0.1 to 65.8 ppb. In total, 32.3% of workers had a higher than acceptable risk level and there was a significant association between gasoline station work zones and the likelihood of benzene exposure as well as the health risk of workers. The health risk levels estimated from the biomarker monitoring were consistent with the risk matrix of air benzene monitoring. Conclusion This tt‐MA biomarker monitoring and biomatrix of health risk assessment is suggested as useful for health surveillance of gasoline station workers exposed to benzene.

Benzene is harmful to human health and early detection of haematological alterations is important in preventing adverse health effects. This study aimed to investigate the biomarkers of benzene exposure and its effects due to haematological alterations. Gasoline station workers with potential risks according to the biomatrix concerning benzene exposure underwent blood and urine evaluation for the biological monitoring of urinary trans, trans-muconic acid (tt-MA), and haematological and biochemical parameter evaluation. The results were analysed for correlations between biological and haematological effects. The tt-MA biomarker was detected in some workers and approximately 50% of workers had a blood profile that showed abnormal parameters with respect to the haemoglobin (Hb), haematocrit (Hct) and white blood cell parameters, which were outside the normal range. A significant correlation was observed between the tt-MA biomarker’s level and the levels of the haematological and biochemical parameters, which were Hb, Hct, eosinophil, neutrophil, SGOT and blood creatinine. The level of urinary tt-MA as a marker of benzene exposure correlated with haematological and biochemical changes in the blood, suggesting that the gasoline station workers were affected by benzene exposure. Moreover, the current study suggests that early detection of haematological abnormalities may be possible by analysing biomarkers of their effects through regular health surveillance of workers.

In contemporary days, the research and development enterprises have been focusing to design intelligently the battery swap station (BSS) architecture having the prospects of providing a consistent platform for the successful installation of the large-scale fleet of hybrid and electric vehicles (i.e. xEVs). The BSS may calibrate its subsystem for the electric vehicle (EV) deployment by accomplishing similar idea as in existing gasoline refuelling stations, in which the discharged batteries are being replaced or swapped by partially or fully charged ones by spending a few minutes. The BSS approach has arisen as a promising technology to the traditional EV recharging station approach as it provides a broader experience of business prospects for the specific stakeholders. This work deals with the introduction to BSS including infrastructure, techniques, benefits over charging station and key challenges associated with BSS. Furthermore, an S34X-smart swapping station for xEVs is proposed and finally, the key thrust is research for BSS is discussed. To the authors’ knowledge, this is the first kind of review work on BSS.