Publication
Title
High throughput identification and quantification of 16 antipsychotics and 8 major metabolites in serum using ultra-high performance liquid chromatographytandem mass spectrometry
Author
Abstract
Background Therapeutic drug monitoring of antipsychotics is important for optimizing therapy, explaining adverse effects, non-response or poor compliance. We developed a UHPLCMS/MS method for quantification of 16 commonly used and recently marketed antipsychotics and 8 metabolites in serum. Methods After liquidliquid extraction using methyl tert-butyl ether, analysis was performed on an Agilent Technologies 1290 Infinity LC system coupled with an Agilent Technologies 6460 Triple Quadrupole MS. Separation with a C18 column and gradient elution at 0.5 mL/min resulted in a 6-min run-time. Detection was performed in dynamic MRM, monitoring 3 ion transitions per compound. Isotope labeled internal standards were used for every compound, except for bromperidol and levosulpiride. Results Mean recovery was 86.8%. Matrix effects were − 18.4 to + 9.1%. Accuracy ranged between 91.3 and 107.0% at low, medium and high concentrations and between 76.2 and 113.9% at LLOQ. Within-run precision was < 15% (CV), except for asenapine and hydroxy-iloperidone. Between-run precision was aberrant only for 7-hydroxy-N-desalkylquetiapine, asenapine and reduced haloperidol. No interferences were found. No problems of instability were observed, even for olanzapine. The method was successfully applied on patient samples. Conclusions The liquidliquid extraction and UHPLCMS/MS technique allows robust target screening and quantification of 23 antipsychotics and metabolites.
Language
English
Source (journal)
Clinica chimica acta. - Amsterdam
Publication
Amsterdam : 2014
ISSN
0009-8981
Volume/pages
429(2014), p. 51-58
ISI
000331680800013
Full text (Publishers DOI)
Full text (publishers version - intranet only)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 23.01.2014
Last edited 12.04.2017
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