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

被引:229
作者
De Backer, Benjamin [1 ]
Debrus, Benjamin [2 ]
Lebrun, Pierre [2 ]
Theunis, Laetitia
Dubois, Nathalie
Decock, Lies [3 ]
Verstraete, Alain [3 ]
Hubert, Philippe [2 ]
Charlier, Corinne
机构
[1] Univ Liege, Serv Toxicol Clin Medicol Environnem & Entreprise, CHU Sart Tilman, Lab Clin Forens & Environm Toxicol,CIRM, B-4000 Liege, Belgium
[2] Univ Liege, Dept Pharm, Analyt Chem Lab, CIRM, B-4000 Liege, Belgium
[3] Univ Ghent, Dept Clin Chem Microbiol & Immunol, B-9000 Ghent, Belgium
来源
JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES | 2009年 / 877卷 / 32期
关键词
HPLC; Cannabis sativa; Cannabinoids; THC; CBD; CBG; BIOANALYTICAL METHODS; NATURAL CANNABINOIDS; MASS-SPECTROMETRY; SFSTP PROPOSAL; PRODUCTS; HEMP; DELTA(9)-TETRAHYDROCANNABINOL; HARMONIZATION; CONSTITUENTS; STRATEGIES;
D O I
10.1016/j.jchromb.2009.11.004
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
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: Delta 9-tetrahydrocannabinol (THC) THC acid (THCA), cannabidiol (CBD), CBD acid (CBDA), cannabigerol (CBG), CBG acid (CBGA) and cannabinol (CBN). Delta 8-Tetrahydrocannabinol (Delta 8-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 P-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. (C) 2009 Elsevier B.V. All rights reserved.
引用
收藏
页码:4115 / 4124
页数:10
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