LC-MS/MS determination of 27 antipsychotics and metabolites in plasma for medication management monitoring

With the increasing prevalence and escalating complexity of mental disorders, precise medication has become critically important. This necessitates an efficient, accurate, and convenient method for drug concentration monitoring to support laboratory personnel and clinicians. In this study, three liquid chromatography-tandem mass spectrometry methods were developed and validated for simultaneously determining and quantifying 27 antipsychotics and related metabolites in human plasma. The plasma samples were subjected to protein precipitation using methanol, with isotope-labelled internal standards (ISs), followed by separation <i>via</i> isocratic elution on a BEH C18 column. Mass spectrometric analysis was performed using electrospray ionisation in positive ionisation mode with multiple reaction monitoring for quantitative detection. The analytes demonstrated high separation efficiency, with a single sample run time of 3.0 min. The method exhibited a wide linear range with excellent linearity across the concentration range. The intra- and inter-batch precision were ≤10.00%, the accuracy was 88.67-113.29%. Accurate quantification of antipsychotics remained unaffected under various storage conditions: 72 h at room temperature, 7 d at 4 °C refrigeration, and 14 d at -80 °C freezing. This validated methodology has been successfully applied to plasma samples from patients with psychiatric disorders, demonstrating its practical utility for accurate quantification of antipsychotics in large-scale and complex matrices containing multiple analytes.

Authors

Institutions

Publication Details

Journal
Xenobiotica
Published
2025-03-16
DOI
https://doi.org/10.1080/00498254.2025.2498702
Citations
1
Primary Topic
Analytical Methods in Pharmaceuticals
Type
article
Field-Weighted Citation Impact
0.75
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

LC-MS/MS determination of 27 antipsychotics and metabolites in plasma for medication management monitoring

Yuhang Yan, Qing‐Yuan Sun, Donghan Wang, Yue Luan et al.
1 citations
Xenobiotica
Analytical Methods in Pharmaceuticals
0.75
article

LC-MS/MS determination of 27 antipsychotics and metabolites in plasma for medication management monitoring

Yuhang Yan, Qing‐Yuan Sun, Donghan Wang, Yue Luan, Yuanyuan Zhao, Chunhua Zhou, Jiaqi Wang, Shanshan Chen, Yaqi Sun, Jing Yu
article en
1 citations

Abstract

With the increasing prevalence and escalating complexity of mental disorders, precise medication has become critically important. This necessitates an efficient, accurate, and convenient method for drug concentration monitoring to support laboratory personnel and clinicians. In this study, three liquid chromatography-tandem mass spectrometry methods were developed and validated for simultaneously determining and quantifying 27 antipsychotics and related metabolites in human plasma. The plasma samples were subjected to protein precipitation using methanol, with isotope-labelled internal standards (ISs), followed by separation <i>via</i> isocratic elution on a BEH C18 column. Mass spectrometric analysis was performed using electrospray ionisation in positive ionisation mode with multiple reaction monitoring for quantitative detection. The analytes demonstrated high separation efficiency, with a single sample run time of 3.0 min. The method exhibited a wide linear range with excellent linearity across the concentration range. The intra- and inter-batch precision were ≤10.00%, the accuracy was 88.67-113.29%. Accurate quantification of antipsychotics remained unaffected under various storage conditions: 72 h at room temperature, 7 d at 4 °C refrigeration, and 14 d at -80 °C freezing. This validated methodology has been successfully applied to plasma samples from patients with psychiatric disorders, demonstrating its practical utility for accurate quantification of antipsychotics in large-scale and complex matrices containing multiple analytes.

XenobioticaVol. 55(3)
Hebei Mental Health Center (CN), First Affiliated Hospital of Hebei Medical University (CN), Artificial Intelligence in Medicine (Canada) (CA)
Openalex Percentile: Top 33%
Analytical Methods in Pharmaceuticals
0.75
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.