Adsorption efficiency of functionalized multi-walled carbon nanotube in sampling trichloroethylene in air

سال انتشار: 1398
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 177

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شناسه ملی سند علمی:

JR_JKMU-26-2_007

تاریخ نمایه سازی: 19 دی 1401

چکیده مقاله:

Introduction: Trichloroethylene (TCE) is an industrial solvent which is often used as a degreaser for metal parts. Due to adverse health effects and carcinogenic properties of this solvent, knowing its concentration in the workplace atmosphere is really crucial. Nowadays, carbon nanotubes with high efficiency are being used for sampling of this chemical. Method: Three types of static standard atmosphere with the concentrations of ۱۸, ۳۵, and ۵۳ ppm were produced. Then, sampling tubes which contained ۱۰ mg of functionalized multi-walled carbon nanotubes were prepared. Subsequently, air standard atmosphere was made inside sampling bags. The mean adsorption efficiency was examined in three sampling flows (۰.۱, ۰.۱۵, and ۰.۲ L/minute). Finally, desorption was performed by carbon disulfide and analysis was conducted using gas chromatography coupled to mass spectrometry) GC/MS (according to the instructions of NIOSH ۱۰۲۲ and OSHA ۱۰۰۱. Results: The highest amount of adsorption occurred in the flow of ۰.۱ L/minute (۸۱.۵۱±۳.۷۲). Furthermore, considering the three studied concentrations of trichloroethylene (۱۸, ۳۵, and ۵۳ ppm); the highest efficiency was recorded at ۱۸ ppm concentration (۸۳.۱۸±۱۱.۶۷). The highest adsorption efficiency with the lowest standard deviation (۸۰.۵۵±۳.۸۵) was observed in samples that were immediately injected into the GC/MS machine. Conclusion:Given that time-lapse had no significant effect on adsorption efficiency, it is argued that the pollutant had suitable stability on the surface of the adsorbent. The results of this study show that multi-walled carbon nanotubes have better performance at lower concentrations of trichloroethylene.

نویسندگان

Zahed Ahmadi

MSc in Occupational Health Engineering, Department of Occupational Health Engineering, School of Public Health, Kerman University of Medical Sciences, Kerman, Iran

Mohammad Reza Baneshi

Professor, Department of Epidemiology and Biostatistics, School of Public Health, Kerman University of Medical Sciences, Kerman, Iran

Hamideh Asadollahzadeh

Assistant Professor, Department of Chemistry, Kerman Branch, Islamic Azad University, Kerman, Iran

Ali Faghihi-Zarandi

Assistant Professor, Department of Occupational Health Engineering, School of Public Health, Kerman University of Medical Sciences, Kerman, Iran

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