Preventing Mislabeling: A Comparative Chromatographic Analysis for Classifying Medical and Industrial Cannabis
Julio Salazar-Bermeo,
Bryan Moreno-Chamba,
María Concepción Martínez-Madrid,
Manuel Valero,
Joaquín Rodrigo-García,
Farah Hosseinian,
Francisco Martín-Bermudo,
Manuel Aguado,
Rosa de la Torre,
Nuria Martí,
Domingo Saura
Affiliations
Julio Salazar-Bermeo
IDiBE, Institute for R&D in Health Biotechnology of Elche, University Miguel Hernández of Elche, Avda. de la Universidad, 03202 Elche, Spain
Bryan Moreno-Chamba
IDiBE, Institute for R&D in Health Biotechnology of Elche, University Miguel Hernández of Elche, Avda. de la Universidad, 03202 Elche, Spain
María Concepción Martínez-Madrid
IDiBE, Institute for R&D in Health Biotechnology of Elche, University Miguel Hernández of Elche, Avda. de la Universidad, 03202 Elche, Spain
Manuel Valero
IDiBE, Institute for R&D in Health Biotechnology of Elche, University Miguel Hernández of Elche, Avda. de la Universidad, 03202 Elche, Spain
Joaquín Rodrigo-García
Departament of Health Science, Institute of Biomedical Sciences, Autonomous University of Ciudad Juárez, Anillo Envolvente del PRONAF y Estocolmo s/n, Ciudad Juárez 32310, Mexico
Farah Hosseinian
Institute of Biochemistry, Carleton University, 1125 Colonel by Drive, Ottawa, ON K1S 5B6, Canada
Francisco Martín-Bermudo
Andalusian Center of Molecular Biology and Regenerative Medicine-CABIMER, Junta de Andalucía-University of Pablo de Olavide-CSIC, 41092 Seville, Spain
Manuel Aguado
Mitra Sol Technologies S.L. Parque Científico y Empresarial UMH, Edificio Quorum III, Avda. de la Universidad, 03202 Elche, Spain
Rosa de la Torre
CTAEX, National AgriFood Technological Center “Extremadura”, Carretera Villafranco-Balboa, Km 1.2, 06195 Badajoz, Spain
Nuria Martí
IDiBE, Institute for R&D in Health Biotechnology of Elche, University Miguel Hernández of Elche, Avda. de la Universidad, 03202 Elche, Spain
Domingo Saura
IDiBE, Institute for R&D in Health Biotechnology of Elche, University Miguel Hernández of Elche, Avda. de la Universidad, 03202 Elche, Spain
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 R2 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.