Literature DB >> 12101630

Development and validation of a competitive immunoassay for urinary S-phenylmercapturic acid and its application in benzene biological monitoring.

J P Aston1, R L Ball, J E Pople, K Jones, J Cocker.   

Abstract

An immunoassay that quantifies urinary S-phenylmercapturic acid (PMA), a benzenespecific biomarker, has been developed and its potential usefulness as a screening tool for monitoring occupational exposure to benzene has been demonstrated. Analytical reliability has been confirmed by correlation of results with gas chromatography-mass spectrometry (GC/MS) data (R = 0.92). The assay has been configured as a competitive enzyme-linked immunosorbent assay (ELISA) to facilitate rapid throughput of samples. The ELISA has a working range of 40-1200 nmoll-1 urinary PMA and appears to be unaffected by the presence of structurally related urinary metabolites. Background levels of 0-1.9 mumol PMA/mol creatinine (mean 0.9 mumol mol-1, n = 32) were measured in nonsmoking control subjects. Recent exposures to benzene (8 h time-weighted averages-TWA), during diverse industrial processes, over the range 0-4.8 ppm were identified by application of the assay in biological monitoring programmes.

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Year:  2002        PMID: 12101630     DOI: 10.1080/13547500110099663

Source DB:  PubMed          Journal:  Biomarkers        ISSN: 1354-750X            Impact factor:   2.658


  3 in total

Review 1.  The use of biomonitoring data in exposure and human health risk assessment: benzene case study.

Authors:  Scott M Arnold; Juergen Angerer; Peter J Boogaard; Michael F Hughes; Raegan B O'Lone; Steven H Robison; A Robert Schnatter
Journal:  Crit Rev Toxicol       Date:  2013-02       Impact factor: 5.635

Review 2.  Mercapturic acids revisited as biomarkers of exposure to reactive chemicals in occupational toxicology: a minireview.

Authors:  V Haufroid; D Lison
Journal:  Int Arch Occup Environ Health       Date:  2005-05-10       Impact factor: 3.015

3.  Urinary benzene biomarkers and DNA methylation in Bulgarian petrochemical workers: study findings and comparison of linear and beta regression models.

Authors:  Wei Jie Seow; Angela Cecilia Pesatori; Emmanuel Dimont; Peter B Farmer; Benedetta Albetti; Adrienne S Ettinger; Valentina Bollati; Claudia Bolognesi; Paola Roggieri; Teodor I Panev; Tzveta Georgieva; Domenico Franco Merlo; Pier Alberto Bertazzi; Andrea A Baccarelli
Journal:  PLoS One       Date:  2012-12-05       Impact factor: 3.240

  3 in total

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