Fast and Sensitive Method for the Determination of 17 Designer Benzodiazepines in Hair by Liquid Chromatography-Tandem Mass Spectrometry.


Journal

Journal of analytical toxicology
ISSN: 1945-2403
Titre abrégé: J Anal Toxicol
Pays: England
ID NLM: 7705085

Informations de publication

Date de publication:
14 Oct 2022
Historique:
received: 04 03 2022
revised: 20 05 2022
accepted: 23 06 2022
pubmed: 25 6 2022
medline: 19 10 2022
entrez: 24 6 2022
Statut: ppublish

Résumé

In recent years, identification and analysis of designer benzodiazepines have become a challenge in forensic toxicology. These substances are analogs of the classic benzodiazepines, but their pharmacology is not well known, and many of them have been associated with overdoses and deaths. As a result, there has been a surge in efforts to develop analytical methods to determine these compounds in different biological samples. Our aim was to develop and validate a fast, sensitive and specific method for determining 17 designer benzodiazepines (adinazolam, clobazam, clonazolam, delorazepam, deschloroetizolam, diclazepam, etizolam, flualprazolam, flubromazepam, flubromazolam, flunitrazolam, N-desmethylclobazam, nifoxipam, nitrazolam, meclonazepam, pyrazolam and zolazepam) in hair by liquid chromatography-tandem mass spectrometry (LC-MS-MS). Hair samples were decontaminated and pulverized, and a 20 mg aliquot was incubated in methanol in an ultrasound bath (1 h, 25°C). The supernatant was evaporated and reconstituted in 200 µL of mobile phase, and the extracts were filtered (nano-filter vials) before injection into LC-MS-MS. All analytes were eluted from the chromatographic column in 8 min, and two multiple-reaction monitoring (MRM) transitions were used to identify each compound. The limits of quantification were 5 or 25 pg/mg depending on the analyte, and the calibration functions were linear to 200 pg/mg. Imprecision was <19.2% (n = 15), and bias was from -13.7 to 18.3% (n = 15). All the analytes yielded high extraction efficiencies >70% and displayed ion suppression between -62.8% and -23.9% (n = 10). The method was applied to 19 authentic cases. Five samples were positive for flualprazolam (<LOQ-> 200 pg/mg) and/or etizolam (47.4-88.5 pg/mg). In conclusion, the present validated method has proven to be fast, sensitive, specific and capable of determining 17 designer benzodiazepines in hair using LC-MS-MS.

Identifiants

pubmed: 35748814
pii: 6617432
doi: 10.1093/jat/bkac044
doi:

Substances chimiques

Benzodiazepines 12794-10-4
Clobazam 2MRO291B4U
Zolazepam G1R474U58U
Methanol Y4S76JWI15

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

852-859

Informations de copyright

© The Author(s) 2022. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Auteurs

Laura DeFreitas (L)

Department of Sciences, John Jay College of Criminal Justices, City University of New York, 524 West 59th Street-Rm 5.66.11, New York, NY 10019, USA.
Biomarkers Core Laboratory, Irving Institute for Clinical and Translational Research, Columbia University Medical Center, 630 West 168th Street, New York, NY 10032, USA.

Ana Miguel Fonseca Pego (AM)

Department of Sciences, John Jay College of Criminal Justices, City University of New York, 524 West 59th Street-Rm 5.66.11, New York, NY 10019, USA.

Robert Kronstrand (R)

Department of Forensic Genetics and Forensic Toxicology, National Board of Forensic Medicine, 587 58 Linköping, Sweden.
Division of Clinical Chemistry and Pharmacology, Department of Biomedical and Clinical Sciences, Linköping University, 581 83 Linköping, Sweden.

Elena Lendoiro (E)

Sección de Toxicología, Instituto de Ciencias Forenses, Universidade de Santiago de Compostela, C/San Francisco s/n, 15704 Santiago de Compostela, Spain.

Ana de Castro-Ríos (A)

Sección de Toxicología, Instituto de Ciencias Forenses, Universidade de Santiago de Compostela, C/San Francisco s/n, 15704 Santiago de Compostela, Spain.

Marta Concheiro (M)

Department of Sciences, John Jay College of Criminal Justices, City University of New York, 524 West 59th Street-Rm 5.66.11, New York, NY 10019, USA.

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Classifications MeSH