Publication

The analysis of antipsychotic drugs in human matrices using LC-MS(/MS)

Journal Paper/Review - May 10, 2012

Units
PubMed
Doi

Citation
Saar E, Beyer J, Gerostamoulos D, Drummer O. The analysis of antipsychotic drugs in human matrices using LC-MS(/MS). Drug Test Anal 2012; 4:376-94.
Type
Journal Paper/Review (English)
Journal
Drug Test Anal 2012; 4
Publication Date
May 10, 2012
Issn Electronic
1942-7611
Pages
376-94
Brief description/objective

Antipsychotic drugs (APs) are prescribed for a wide range of psychotic illnesses. With more than 35 APs currently available worldwide, this drug class has rapidly gained importance in both clinical and forensic settings. On account of their chemical properties, many APs are present in human specimens at very low concentrations, which complicate their detection using standard gas chromatography-mass spectrometry (GC-MS) procedures that often cannot provide the required sensitivity. Recent advances in liquid chromatography-(tandem) mass spectrometry LC-MS(/MS) technology have enabled accurate detection and quantification of these compounds in various human specimens, indicated by the increasing number of published methods. Method validation has been a particular focus of analytical chemistry in recent times. Recommendations set by several guidance documents are now widely accepted by the toxicology community, as reflected by the guidelines drafted by leading toxicological societies. This review provides a critical review of single-stage and tandem LC-MS procedures for the detection and quantification of APs, with a particular emphasis on appropriate method validation. The quality of published methods is inconsistent throughout the literature. While the majority of authors incorporate some validation experiments in their respective method development, a large number of published methods lack essential components of method validation, which are considered mandatory according to the guidelines. If adapting a method for the detection of APs for use in a laboratory, analysts should ensure successful validation experiments for appropriateness and completeness have been conducted, and perform additional experiments when indicated.