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◆ Medicine2026-08-14

Analytical method development and validation of a serum LC-MS/MS assay for 2 emerging synthetic cannabinoids: 5F-MDMB-PICA and MDMB-4en-PINACA.

Murat Akbaba, Aysun Baransel Isir, Süleyman İbili, Can Erdem Yiğitsoy

一句话结论 · In one sentence

The validated method provides reliable quantification of 5F-MDMB-PICA and MDMB-4en-PINACA in human serum. The observed linearity, sensitivity, recovery, and precision support its applicability for routine forensic toxicology analyses.

原始摘要(英文原文)· Original abstract
BACKGROUND: This study aimed to develop and validate a highly sensitive and reproducible liquid chromatography-tandem mass spectrometry (LC-MS/MS) method for the simultaneous determination of 5F-MDMB-PICA and MDMB-4en-PINACA in human serum, ensuring suitability for both forensic and clinical toxicology applications. METHODS: Drug-free serum samples were fortified with target analytes, extracted through solid-phase extraction, and analyzed using a triple-quadrupole LC-MS/MS system (Shimadzu LCMS-8045) equipped with a biphenyl column. Calibration was established within 1-100 ng/mL, and validation parameters - linearity, sensitivity, accuracy, and precision - were assessed according to international guidelines. RESULTS: The calibration curves displayed excellent linearity (r2 = 0.999) for both analytes. The limits of detection were 0.113 ng/mL for 5F-MDMB-PICA and 0.145 ng/mL for MDMB-4en-PINACA, with limits of quantification of 0.339 ng/mL and 0.435 ng/mL, respectively. Recovery rates at 10 and 50 ng/mL ranged from 77.7% to 96.4%, while intra and inter-day precision (relative standard deviation %) remained below 15%. CONCLUSION: The validated method provides reliable quantification of 5F-MDMB-PICA and MDMB-4en-PINACA in human serum. The observed linearity, sensitivity, recovery, and precision support its applicability for routine forensic toxicology analyses.
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Analytical method development and validation of a serum LC-MS/MS assay for 2 emerging synthetic cannabinoids: 5F-MDMB-PICA and MDMB-4en-PINACA. — 科研速览 Science Skim