Repository of Research and Investigative Information

Repository of Research and Investigative Information

Zabol University of Medical Sciences

Determination of nicotine in saliva, urine and wastewater samples using tantalum metal organic framework pipette tip micro-solid phase extraction

(2019) Determination of nicotine in saliva, urine and wastewater samples using tantalum metal organic framework pipette tip micro-solid phase extraction. Analytical Methods. pp. 6168-6175. ISSN 1759-9660

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Abstract

A novel tantalum metal organic framework (Ta-MOF) was synthesized by a microwave assisted reverse micelle procedure, and it was used as a sorbent for pipette tip micro-solid phase extraction of nicotine from biological and environmental samples. Several parameters that influence the extraction efficiency, such as the amount of sorbent, the volumes of sample solution and eluent solvent, the type of eluent, and the number of draw/eject cycles of sample solution and eluent solvent, were studied and optimized. The results showed that the highest extraction efficiency was obtained when 5 mg Ta-MOF was placed into a 20 mu L pipette tip and 3500 mu L of 5 mg L-1 nicotine solution aspirated and dispensed over the sorbent after 15 cycles. The adsorbed nicotine was washed from the sorbent using 15 mu L of methanol/ammonia solution as an eluent solvent with 20 draw/eject cycles. The linear dynamic range of this method was between 2 and 3000 mu g L-1 and the limit of detection and the limit of quantification were 0.7 and 4.8 mu g L-1, respectively. Intraday and interday precision expressed as relative standard deviation were good and found to be 2.7 and 5.2, respectively. Finally, the method was successfully applied for the analysis of nicotine in six real samples of human saliva, urine and wastewater.

Item Type: Article
Keywords: mass-spectrometry cotinine preconcentration nanostructure Chemistry Food Science & Technology Spectroscopy
Divisions:
Page Range: pp. 6168-6175
Journal or Publication Title: Analytical Methods
Volume: 11
Number: 48
Identification Number: 10.1039/c9ay01773a
ISSN: 1759-9660
Depositing User: مهندس مهدی شریفی
URI: http://eprints.zbmu.ac.ir/id/eprint/3552

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