Preventing Mislabeling: A Comparative Chromatographic Analysis for Classifying Medical and Industrial Cannabis.
Julio Salazar-BermeoBryan Moreno-ChambaMaría Concepción Martínez-MadridManuel ValeroJoaquín Rodrigo-GarciaFarah HosseinianFrancisco Martín-BermudoManuel AguadoRosa de la TorreNuria MartíDomingo SauraPublished in: Molecules (Basel, Switzerland) (2023)
Gas chromatography (GC) techniques for analyzing and determining the cannabinoid profile in cannabis ( Cannabis sativa L.) are widely used in standard laboratories; however, these methods may mislabel the profile when used under rapid conditions. Our study aimed to highlight this problem and optimize GC column conditions and mass spectrometry (MS) parameters to accurately identify cannabinoids in both standards and forensic samples. The method was validated for linearity, selectivity, and precision. It was observed that when tetrahydrocannabinol (Δ9-THC) and cannabidiolic acid (CBD-A) were examined using rapid GC conditions, the resulting derivatives generated identical retention times. Wider chromatographic conditions were applied. The linear range for each compound ranged from 0.02 μg/mL to 37.50 μg/mL. The R 2 values ranged from 0.996 to 0.999. The LOQ values ranged from 0.33 μg/mL to 5.83 μg/mL, and the LOD values ranged from 0.11 μg/mL to 1.92 μg/mL. The precision values ranged from 0.20% to 8.10% RSD. In addition, forensic samples were analyzed using liquid chromatography (HPLC-DAD) in an interlaboratory comparison test, with higher CBD and THC content than GC-MS determination ( p < 0.05) in samples. Overall, this study highlights the importance of optimizing GC techniques to avoid mislabeling cannabinoids in cannabis samples.
Keyphrases
- gas chromatography
- mass spectrometry
- liquid chromatography
- tandem mass spectrometry
- simultaneous determination
- solid phase extraction
- high resolution mass spectrometry
- high performance liquid chromatography
- high resolution
- ms ms
- gas chromatography mass spectrometry
- capillary electrophoresis
- healthcare
- multiple sclerosis
- risk assessment
- loop mediated isothermal amplification
- heavy metals
- quantum dots
- sensitive detection