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. 2023 Apr 17;9(4):e15479.
doi: 10.1016/j.heliyon.2023.e15479. eCollection 2023 Apr.

Quantification of 7 cannabinoids in cannabis oil using GC-MS: Method development, validation and application to therapeutic preparations in Friuli Venezia Giulia region, Italy

Martina Franzin  1 , Rachele Ruoso  1 , Rossella Del Savio  1 , Eugenia Akhavan Niaki  1 , Aba Pettinelli  2 , Giuliana Decorti  3 , Gabriele Stocco  1   3 , Riccardo Addobbati  1
Affiliations

Quantification of 7 cannabinoids in cannabis oil using GC-MS: Method development, validation and application to therapeutic preparations in Friuli Venezia Giulia region, Italy

Martina Franzin et al. Heliyon. .

Abstract

The use of therapeutic cannabis preparations in Friuli Venezia Giulia is increasingly expanding. Even if cannabis oil finds its applications in several disorders affecting adults and children, it is not yet a standardized product and, to ensure the quality of the preparation, a quantitative analysis must be carried out before dispensing it to patients. Gas chromatography coupled to mass spectrometry (GC-MS) is a frequently used technique for quantification of cannabinoids, the active compounds of C. sativa. In this context, we developed a GC-MS method for the simultaneous quantification of 7 cannabinoids (CBD, CBDA, CBG, CBN, THCA, THCV and Δ9-THC) that is not time and sample consuming: 10 μL of cannabis oil were used for the sample preparation, that consists in derivatization of analytes through silylation. Calibration curves were built from 0.2 to 2 μg/mL. The percentage of accuracy and precision did not exceed the values recommended by validation guidelines. The limit of detection was 0.01 μg/mL; whereas the lower limit of quantification was 0.2 μg/mL. There was no carry over. The proposed GC-MS method showed good sensitivity, specificity, linearity, accuracy, precision and applicability to therapeutic preparations.

Keywords: Cannabinoids; Cannabis oil; Gas chromatography; Mass spectrometry; Validation.

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Conflict of interest statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Figures

Fig. 1
Fig. 1
Percentage of annual prescriptions of cannabis oil by variety of inflorescence.
Fig. 2
Fig. 2
Chromatogram representing the separation of the derivatized cannabinoids.
Fig. 3
Fig. 3
Inter-day percentage of accuracy values (means ± standard error) for QCs.
Fig. 4
Fig. 4
Inter-day coefficient of precision values (means ± standard error) for QCs.
See this image and copyright information in PMC

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