Separation and determination of mercury from nail and hair in petrochemical workers based on silver carbon nanotubes by microwave-assisted headspace sorbent trap

سال انتشار: 1399
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 290

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شناسه ملی سند علمی:

JR_AMECJ-3-2_001

تاریخ نمایه سازی: 14 آذر 1402

چکیده مقاله:

In this work, the occupational analytical chemistry was developed for determination of chronic exposure of mercury in nail and hair in petrochemical workers (Age: ۳۰-۵۰, Men). By experimental procedure, ۱۰۰ mg of hair and nail of workers was prepared by washing / grinding and then the powder was dried in oven for ۲۰ min at ۹۵oC. ۲۰ mg of hair or nail samples added to reagents (HNO۳/H۲O۲; ۵:۱) in polyethylene tube (PET) of microwave digestion and the mercury in resulting solution was removed with silver nanoparticles pasted on multi-walled carbon nanotubes (Ag-MWCNTs) which were placed in head space of separator. After microwave digestion for ۲۵ min, the mercury vapor was removed by Ag-MWCNTs as the headspace sorbent trap (HSST) under hood conditions. Finally, the mercury in sorbent was online determined by cold vapor atomic absorption spectrometry (CV-AAS) after heat process at ۲۵۰oC in presence of Ar gas. The capacity adsorptions of Ag- MWCNTs and MWCNTs for mercury removal from air were obtained ۲۰۵.۴ mg g-۱ and ۶۳.۷ mg g-۱, respectively. The mean of mercury in nail and hair in workers and healthy peoples was achieved (۱۵.۲±۳.۷ μg g-۱; ۱۱.۶± ۲.۶ μg g-۱) and (۰.۱۶±۰.۰۵ μg g-۱; ۰.۲۴± ۰.۰۳ μg g-۱), respectively (RSD<۵%). The validation of method was done by certified reference material (CRM).

کلیدواژه ها:

Mercury ، Nail and Hair ، Silver multi-walled carbon nanotubes ، Microwave-assisted headspace removal

نویسندگان

Daniel Soleymani

Occupational Health Engineering Department, Modeling in Health Research Center, Institute for Futures Studies in Health,Kerman University of Medical sciences, Kerman, Iran

Sahar Zargari

Software Engineer, Statistical sciences and engineering, Department of Web development and software engineering, Research Institute of Petroleum Industry, Tehran, Iran

Ali Faghihi-Zarandi

Occupational Health Engineering Department, Modeling in Health Research Center, Institute for Futures Studies in Health,Kerman University of Medical sciences, Kerman, Iran