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Journal of Analytical Toxicology Article Abstracts

Journal of Analytical Toxicology Horizontal Line

Published: Journal of Analytical Toxicology, ISSN 0146-4760, Volume 26, Number 4, May/June pp. 205-210

An Online Automatic Sample Cleanup System for the Quantitative Detection of the Benzene Exposure Biomarker S-Phenylmercapturic Acid in Human Urine by Electrospray Ionization Tandem Mass Spectrometry
Pao-Chi Liao*, Chien-Ming Li, Lung-Cheng Lin, and Chien-Wen Hung
Department of Environmental and Occupational Health, National Cheng Kung University College of Medicine, 138 Sheng-Li Road, Tainan 704, Taiwan
Tung-Sheng Shih
Division of Method Development and Analysis, Institute of Occupational Safety and Health, No. 99, Lane 407, Hengke Road, Shijr City 221, Taipei, Taiwan

An online automatic sample cleanup system was developed for use with electrospray ionization tandem mass spectrometry (ESI-MS–MS) for the quantitative detection of the benzene exposure biomarker S-phenylmercapturic acid (S-PMA) in human urine. The sample clean-up system was constructed with an autosampling device, a reversed-phase C18 trap cartridge, a two-position switching valve, and controlling computer software and hardware. The sample cleanup system was interfaced directly with the ESI source of a triple-stage-quadrupole MS using multiple reaction monitoring of negative product ions derived from S-PMA and the internal standard as the detection mode. The calibration curve was linear using human urine spiked at concentrations from 0.25 to 100 mg/L S-PMA (R2 = 0.997). The detection limit of the analytical system for neat S-PMA standard solution was 0.04 µg/L, whereas the detection limit was estimated to be lower than 0.35 µg/L for a urine matrix containing trace amounts of S-PMA. Without tedious manual sample cleanup procedures, the analytical system is fully automatic and therefore useful for high-throughput urinary S-PMA determination. With the selectivity and the sensitivity provided by MS–MS detection, the analytical system can be used for high-throughput and accurate determination of S-PMA levels in human urinary samples as a biomarker for benzene exposure.

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