Innovative development and validation of an HPLC/DAD method for the qualitative and quantitative determination of major cannabinoids in cannabis plant material

GC is commonly used for the analysis of cannabis samples, e.g. in forensic chemistry. However, as this method is based on heating of the sample, acidic forms of cannabinoids are decarboxylated into their neutral counterparts. Conversely, HPLC permits the determination of the original composition of...

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Bibliographic Details
Published in:Journal of chromatography. B, Analytical technologies in the biomedical and life sciences Vol. 877; no. 32; pp. 4115 - 4124
Main Authors: De Backer, Benjamin, Debrus, Benjamin, Lebrun, Pierre, Theunis, Laetitia, Dubois, Nathalie, Decock, Lies, Verstraete, Alain, Hubert, Philippe, Charlier, Corinne
Format: Journal Article Web Resource
Language:English
Published: Amsterdam Elsevier B.V 15-12-2009
Elsevier
Elsevier Science
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Summary:GC is commonly used for the analysis of cannabis samples, e.g. in forensic chemistry. However, as this method is based on heating of the sample, acidic forms of cannabinoids are decarboxylated into their neutral counterparts. Conversely, HPLC permits the determination of the original composition of plant cannabinoids by direct analysis. Several HPLC methods have been described in the literature, but most of them failed to separate efficiently all the cannabinoids or were not validated according to general guidelines. By use of an innovative methodology for modelling chromatographic responses, a simple and accurate HPLC/DAD method was developed for the quantification of major neutral and acidic cannabinoids present in cannabis plant material: Δ9-tetrahydrocannabinol (THC), THC acid (THCA), cannabidiol (CBD), CBD acid (CBDA), cannabigerol (CBG), CBG acid (CBGA) and cannabinol (CBN). Δ8-Tetrahydrocannabinol (Δ8-THC) was determined qualitatively. Following the practice of design of experiments, predictive multilinear models were developed and used in order to find optimal chromatographic analytical conditions. The method was validated following an approach using accuracy profiles based on β-expectation tolerance intervals for the total error measurement, and assessing the measurements uncertainty. This analytical method can be used for diverse applications, e.g. plant phenotype determination, evaluation of psychoactive potency and control of material quality.
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scopus-id:2-s2.0-70849088937
ISSN:1570-0232
1873-376X
1873-376X
DOI:10.1016/j.jchromb.2009.11.004