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Development and Validation of a Cannabinoid Quantification Method in Oil and Marijuana by UHPLC-MS
João Victor M de Almeida1,2, Nathália S Conceição1,2, Alan Reinke Pereira1,2
1Chemistry Department, Federal University of Espírito Santo, Vitória, Espírito Santo 29075-910, Brazil.
ACS Omega
|December 8, 2025
Summary
This study optimized cannabinoid extraction from cannabis oil and marijuana using ethyl acetate. The validated UHPLC-LTQ-MS method accurately quantifies seven cannabinoids with high sensitivity and precision.
Area of Science:
- Analytical Chemistry
- Pharmacognosy
- Forensic Science
Background:
- Cannabis sativa L. cultivation has increased for medicinal and recreational uses.
- Rising demand for cannabis products, especially oils, fuels illicit trafficking.
- Accurate cannabinoid quantification is crucial for quality control and regulatory compliance.
Purpose of the Study:
- To optimize the extraction of six cannabinoids from cannabis oil and marijuana samples.
- To develop and validate a quantitative and qualitative analytical method for seven cannabinoids.
- To ensure reliable analysis for medicinal and forensic applications.
Main Methods:
- Optimized solvent extraction using ethyl acetate for cannabis oil and marijuana.
- Employed sonication and vortex agitation for efficient sample preparation.
- Utilized ultra-high-performance liquid chromatography coupled with linear ion trap-mass spectrometry (UHPLC-LTQ-MS) for analysis.
Main Results:
- Ethyl acetate proved to be the optimal solvent for cannabinoid extraction.
- The UHPLC-LTQ-MS method demonstrated no matrix effects, with low limits of quantification (LOQ) and detection (LOD).
- High recovery rates (84.6-107.6% in oil, 80.6-105.9% in marijuana) and excellent precision were achieved across multiple analysts and laboratories.
Conclusions:
- The developed analytical method is highly sensitive, selective, and precise.
- This method is suitable for the accurate quantification of key cannabinoids including CBD, CBN, CBC, CBDA, Δ9-THC, and Δ9-THCA.
- The findings support robust quality control in the burgeoning cannabis industry and forensic analysis.

