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Updated: Jan 16, 2026

High-throughput and Comprehensive Drug Surveillance Using Multisegment Injection-Capillary Electrophoresis-Mass Spectrometry
Published on: April 23, 2019
Liquid Chromatography-Tandem Mass Spectrometry Method for Simultaneous Quantification of Four Endocannabinoids and
Alexandr Gish1,2, Eqbal Radwan3, Camille Richeval1,2
1CHU Lille, Unité Fonctionnelle de Toxicologie, Lille, France.
Background:
The endocannabinoid system regulates immune function, inflammation, and metabolism and has gained increasing attention in clinical research. However, the instability, low abundance, and physicochemical complexity of endocannabinoids (ECs) and EC-like substances (EC-like) make their quantification in plasma analytically challenging.
Objective And Methods:
The authors developed and validated a liquid chromatography-tandem mass spectrometry method for the simultaneous quantification of N-arachidonoylethanolamide (AEA), 2-arachidonoylglycerol, and its isomer 1-arachidonoylglycerol (2-AG/1-AG), oleoylethanolamide (OEA), and palmitoylethanolamide (PEA) in human plasma.
Results:
Extraction was performed using liquid-liquid extraction combined with liquid chromatography-tandem mass spectrometry. The method achieved lower limits of quantification of 0.1 mcg/L for AEA, 0.2 mcg/L for 2-AG/1-AG, and 0.5 mcg/L for OEA and PEA, with calibration curves showing high linearity (R 2 ≥ 0.995). Intra-assay and interassay accuracy and precision were both within 15%. Additional validation parameters, including selectivity, recovery, carryover, matrix suitability, and dilution integrity, fulfilled regulatory criteria. Preanalytical handling significantly influenced concentrations: Delayed centrifugation and postthaw storage increased AEA, OEA, and PEA levels. The validated method was applied to plasma samples from patients coinfected with HIV and hepatitis C virus, enabling reproducible quantification of ECs and EC-like substances in a clinically relevant cohort.
Conclusions:
The study demonstrates that biological and technical factors markedly affect plasma EC and EC-like concentrations. Standardized preanalytical processing is therefore essential for accurate measurement, and the proposed method provides a robust tool for clinical and pharmacological research.
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