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Showing 4 results for Karimi Zeverdegani

S Karimi Zeverdegani, S Barakat, M Yazdi,
Volume 5, Issue 3 (Summer 2016)
Abstract

Background: The use of chemicals is essential in education resulting in exposure to these pollutant in a variety of chemical and research laboratories. Chemical contaminants in chemical laboratories are in different forms and chemical exposure risk assessment is important for choosing appropriate controls in protecting the health of operators, experts and students. For risk assessment in chemical exposures, several techniques were introduced that their use should be assessed. This research was done with the aim to introduce the most appropriate technique in chemical risk assessment by using three chemical risk assessment techniques.

Materials and Methods: This was a descriptive research done in one chemical laboratory. This research had been defined in several stages: in the first phase, the list of solid and liquid chemicals were prepared and full physicochemical properties of substances as well as toxicity and health risk of them were collected. Finally Chemical Risk Management Self-Assessment Model (Chem-SAM), University Of Wollingong (UOW) risk assessment and semi-quantitative risk assessment method (SQRA) methods were used and compared.

Results: There was significant difference between SQRA methods and UOW technique while no significant difference was observed between SQRA methods and Chem-SAM model.

Conclusions: All three techniques are simple, but the results were similar in SQRA methods and Chem-SAM model, so these two methods can be replaced in chemical risk assessment. In order to control the identified risks, this research has recommended programs, control measures, improving local exhaust ventilation systems, personal protective equipment and training of personnel.


S Karimi Zeverdegani , Y Mehrifar , M Faraji , M Rismanchian ,
Volume 6, Issue 3 (Summer 2017)
Abstract

Background: Hazardous chemical agents in the welding operation are a mixture of metal fumes and toxic gases, the inhalation of which causes adverse health effects among welders. The emission of gases in the workplace is a logical cause for concern regarding the potential development of respiratory disease. The aim of the present study was to determine the concentration values of gases discharged during arc welding and perform risk assessment through semi-quantitative chemical risk assessment ‎(SQCRA) method.
Materials and Methods: This cross-sectional study was conducted in an Iranian steel mill on the 3 processes of plasma arc welding (PAW), submerged arc welding (SAW), and gas tungsten arc welding (GTAW). Direct reading instruments were used for sampling of carbon dioxide (CO2), carbon monoxide (CO), nitrogen monoxide (NO), nitrogen dioxide (NO2), and ozone (O3). SQCRA method was used for risk assessment of gases.
Results: The concentrations of O3 (0.356 ppm), CO (41.642 ppm), NO (6.357 ppm), and NO2 (4.871 ppm) were found to exceed their threshold limit values (TLVs), while the concentrations of CO2 (3879.285 ppm) were below its TLV. The maximum exposure concentration of all gases, except CO2, was observed in SAW. SQCRA method showed that among the gases, the highest and least risk rating was related to ozone and nitrogen monoxide, respectively. The risk rating for CO2, CO, and NO2 was low, high, and very high, respectively.
Conclusions: In this study, exposure values were higher than the threshold limit values-time weighted average (TLV-TWA) and the results of risk assessment showed that control engineering should be applied and the use of respiratory protective equipment (RPE) should be made mandatory for welders especially in SAW, PAW, and GTAW processes.

Mitra Shabab, Masoud Rismanchian, Sara Karimi Zeverdegani, Hossein Ali Rangkooy,
Volume 7, Issue 1 (Winter 2018)
Abstract

Background: The present study was carried out with the aim of extracting trace amounts of zinc in urine samples with ultrasound-assisted emulsification solidified floating organic drop micro-extraction (USAE-SFODME) method by flame atomic absorption spectrometry (FAAS). The efficiency was investigated using the solvent extraction volume, extraction pH, time sonication and temperature extraction. The present study was conducted aiming to respond on the efficiency of SFODME technique in extracting inorganic analytes in biological samples.
Materials and Methods: This was an experimental research with several steps. After preparation standard solution of zinc, USAE-SFODME technique was used for extracting zinc cation from urine samples. This method involves centrifuge, buffer and ligand adding, sonication, extraction of analyte and finally analysis with FAAS. Excel 2010 software was used in this study in order to plot the graphs.
Results: Extraction of zinc was performed under optimized conditions of 2 ml 1-(2-Pyridylazo)-2-naphthol (PAN), 90 µl 1-dodecanol, pH = 5.5, for 20 minutes at 35 ˚C. Recovery, the regression coefficient, and relative standard deviation (RSD) were obtained as 96.6% and 99.0%, respectively. RSD for tree concentration 0.8 µgml-1 Zn cation (Zn2+) was 3.4%. The limit of detection (LOD) was found to be 0.426 µgml-1.
Conclusions: Using green solvents, downsizing the samples, replacement of toxic reagents use, and lack of needing the preparation of the samples are the most important advantages of this technique. USAE-SFODME has a successful development in determining trace amounts of zinc in urine samples which can be performed in chemical laboratories with rather ordinary equipment.
 
Yahya Ahmadi Amoei, Sara Karimi Zeverdegani,
Volume 12, Issue 1 (Winter 2023)
Abstract

Background: Fatigue, depression, and job satisfaction are very important variables in job scopes that, if not managed properly, significantly impact job performance. This study aimed to investigate the association between occupational fatigue and burnout levels with job satisfaction among taxi drivers in Isfahan.
Materials and Methods: This descriptive study in which 399 randomly selected taxi drivers were recruited, was conducted in Isfahan, Iran, 2022. Data were collected using a demographic and job information questionnaire and Questionnaires of Minnesota Job Satisfaction(MSQ), Maslach Burnout Inventory(MBI), and Multidimensional Fatigue Inventory(MFI). Descriptive and analytical statistical tests such as Spearman and Pearson correlations were used to analyze the data. It was done with SPSS 20 with a significance level of 0.05.
Results: Job satisfaction score had a positive and significant association with rest hours, exercise hours, and income of taxi drivers and a negative and significant association with driving hours and education level (p <0.05). According to the results, the fatigue score had no significant association with any demographic variables (p>0.05).
Conclusion: Results showed that the fatigue and burnout scores in the studied drivers were generally high. According to the results of the present study and similar studies, it can be recommended that reducing driving hours, increasing drivers' rest hours, and encouraging drivers to do sports activities can be effective in reducing their fatigue while working.

 


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