A method for the simultaneous determination of 12 antipsychotic drugs and their main metabolites in human serum
10.11886/scjsws20251114002
- VernacularTitle:同时测定人血清中12种抗精神病药物及其主要代谢物的方法
- Author:
Xi CHEN
1
;
Yanfang XIAO
2
;
Yang DING
1
;
Weitao HONG
1
;
Lijun MAI
2
;
Xuan ZENG
3
Author Information
1. The Third People's Hospital of Chaozhou， Chaozhou 521041， China
2. Guangzhou Hybribio Medical Laboratory， Guangzhou 510555， China
3. The First People's Hospital of Foshan （Affiliated Foshan Hospital of Southern University of Science and Technology）， Foshan 528000， China
- Publication Type:Journal Article
- Keywords:
Antipsychotic drugs;
Serum drug concentration;
UPLC-MS/MS
- From:
Sichuan Mental Health
2026;39(2):140-148
- CountryChina
- Language:Chinese
-
Abstract:
BackgroundMonitoring the blood concentrations of antipsychotic drugs and their metabolites can guide the adjustment of clinical treatment plans， improving therapeutic efficacy while reducing adverse effects. However， there is currently a lack of a method that can accurately and efficiently quantitatively detect multiple antipsychotic drugs and their metabolites. ObjectiveTo establish a ultra-high performance liquid chromatography-tandem mass spectrometry （UPLC-MS/MS） method for the simultaneous identification and quantitation of 12 antipsychotic drugs and their main metabolites in human serum. MethodsUsing UPLC-MS/MS technology， protein precipitation method was employed for sample pretreatment. An Agela Technologies Durashell C8 chromatographic column （50 mm×3.0 mm， 5 μm） was selected for chromatographic separation with gradient elution. The flow rate was 0.4 mL/min， and the total analysis time was 5 minutes. The column temperature was 40℃. The mass spectrometry detection was carried out in the multiple reaction monitoring （MRM） mode， and the isotope internal standard method was used for quantification. ResultsThe relative standard deviation （RSD） of the internal standard normalization matrix effect factor for 12 antipsychotic drugs and their main metabolites at low and high quality concentrations was all less than 15%. The extraction recovery rate was 85% to 115%. They showed good linear relationships within their respective standard curve ranges （r>0.995）. At low， medium， and high quality concentrations， the accuracy was 85.24% to 114.71%， and the RSD of intra-batch and inter-batch precision was all ≤14.15%， with good stability. ConclusionAll the analytical performance indicators of this method meet the verification requirements， providing an analytical means for the quantitative detection of antipsychotic drugs and their main metabolites in human serum. ［Funded by The Third Batch of Science and Technology Projects in Chaozhou City in 2023 （number， 202303GY02）］
