Ethyl chloroformate mediated gas chromatographic-mass spectrometric biomonitoring of acidic biomarkers of occupational exposure and endogenous metabolites in human urine.

Biomarker of occupational exposure Endogenous metabolites Ethyl chloroformate mediated derivatization Urine Xenometabolite

Journal

Journal of chromatography. A
ISSN: 1873-3778
Titre abrégé: J Chromatogr A
Pays: Netherlands
ID NLM: 9318488

Informations de publication

Date de publication:
25 Oct 2021
Historique:
received: 30 03 2021
revised: 03 09 2021
accepted: 04 09 2021
pubmed: 23 9 2021
medline: 25 11 2021
entrez: 22 9 2021
Statut: ppublish

Résumé

Numerous industrial organic pollutants such as aromates, alkoxyalcohols, other organic solvents and monomers are absorbed, metabolized, and finally excreted in urine mostly as carboxylic acids that are determined as biomarkers of exposure. For a number of these xenometabolites, biological limits (levels of biomarkers in biological material) have been established to prevent damage to human health. Till now, most of the analytical procedures used have been optimized for one or a few analytes. Here, we report a more comprehensive approach enabling rapid GC-MS screening of sixteen acidic biomarkers in urine that are metabolized in the human body from several important industrial chemicals; benzene, toluene, styrene, xylenes, alkoxyalcohols, carbon disulfide, furfural and N,N-dimethylformamide. The new method involves immediate in situ derivatization - liquid liquid microextraction of urine by an ethyl chloroformate-ethanol-chloroform-pyridine medium and GC-MS analysis of the derivatized analytes in the lower organic phase. The xenometabolite set represents diverse chemical structures and some of hippuric and mercapturic acids also provided unusual derivatives that were unambiguously elucidated by means of new ethyl chloroformates labeled with stable isotopes and by synthesis of the missing reference standards. In the next step, an automated routine was developed for GC-MS/MS analysis using a MetaboAuto® sample preparation workstation and the new method was validated for fourteen metabolites over the relevant concentration range of each analyte in the spiked pooled human urine. It shows good linearity (R

Identifiants

pubmed: 34551321
pii: S0021-9673(21)00671-3
doi: 10.1016/j.chroma.2021.462547
pii:
doi:

Substances chimiques

Biomarkers 0
Formic Acid Esters 0
ethyl chloroformate 09601EZP9R

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

462547

Informations de copyright

Copyright © 2021. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors have no conflict of interest to declare.

Auteurs

Lucie Řimnáčová (L)

Biology Centre, Czech Academy of Sciences, Branišovská 31/1160, České Budějovice 370 05, Czech Republic.

Martin Moos (M)

Biology Centre, Czech Academy of Sciences, Branišovská 31/1160, České Budějovice 370 05, Czech Republic.

Stanislav Opekar (S)

Biology Centre, Czech Academy of Sciences, Branišovská 31/1160, České Budějovice 370 05, Czech Republic.

Petr Vodrážka (P)

Biology Centre, Czech Academy of Sciences, Branišovská 31/1160, České Budějovice 370 05, Czech Republic.

Vladimír Pejchal (V)

University of Pardubice, Faculty of Chemical Technology, Studentská 95, Pardubice 532 10, Czech Republic.

Jaroslav Mráz (J)

Centre of Occupational Health, National Institute of Public Health, Šrobárova 49/48, Prague 10 100 00, Czech Republic.

Petr Šimek (P)

Biology Centre, Czech Academy of Sciences, Branišovská 31/1160, České Budějovice 370 05, Czech Republic; University of South Bohemia, Faculty of Health Sciences, Boreckého 1167/27, České Budějovice 37011, Czech Republic. Electronic address: simek@bclab.eu.

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Classifications MeSH