Literature DB >> 24782141

Discovery of syn-/anti-cocaine-N-oxide diastereomers in unwashed postmortem hair via LC-MS-MS.

Christine M Marsh1, Lindsey R Crawley1, Sarah K Himes1, Roman Aranda1, Mark L Miller2.   

Abstract

The discovery of two cocaine-N-oxide (CNO) diastereomers, syn- and anti-CNO, is reported for the first time. Prior to this study, only one structural form of CNO was known to exist and has not been analyzed in hair before. CNO is a metabolite of cocaine (COC) and may be considered as an additional biomarker of COC use, along with other known COC metabolites. The analysis of COC in hair for forensic applications is under scrutiny due to the possibility of external contamination. A qualitative liquid chromatography-tandem mass spectrometry method was developed, validated and applied to unwashed postmortem hair samples from drug users. The limit of detection in hair was 8 pg/mg (using 10 mg of unwashed hair) for each CNO diastereomer. The presence of both syn- and anti-forms of CNO was verified in vivo using hair samples collected from known COC-using individuals. Due to the low levels of CNO, it will not always be detectable in COC user hair. In the hair samples analyzed, syn-CNO was detected in more samples than anti-CNO. The stereoselective N-oxidation of COC which favors syn-CNO could have a diagnostic value for COC ingestion determination in hair analysis. Published by Oxford University Press 2014. This work is written by (a) US Government employee(s) and is in the public domain in the US.

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Year:  2014        PMID: 24782141     DOI: 10.1093/jat/bku041

Source DB:  PubMed          Journal:  J Anal Toxicol        ISSN: 0146-4760            Impact factor:   3.367


  1 in total

1.  One-step extraction and determination of 513 psychoactive substances, drugs, and their metabolites from hair by LC-MS/MS.

Authors:  Jadwiga Musiał; Jolanta Powierska-Czarny; Jakub Czarny; Michał Raczkowski; Natalia Galant; Bogusław Buszewski; Renata Gadzała-Kopciuch
Journal:  Arch Toxicol       Date:  2022-08-25       Impact factor: 6.168

  1 in total

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