Innovative development and validation of an HPLC/DAD method for the qualitative and quantitative determination of major cannabinoids in cannabis plant material
Innovative development and validation of an HPLC/DAD method for the qualitative and quantitative determination of major cannabinoids in cannabis plant material
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DOI：
10.1016/j.jchromb.2009.11.004
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发表时间：
2009-12-15
影响因子：
3
通讯作者：
Charlier, Corinne
中科院分区：
文献类型：
--
作者：
De Backer, Benjamin;Debrus, Benjamin;Charlier, Corinne
GC通常用于分析大麻样品，例如在法医化学中。然而，由于这种方法是基于加热样品，酸性形式的大麻素被脱羧成其中性对应物。相反，HPLC允许通过直接分析确定植物大麻素的原始组成。在文献中已经描述了几种HPLC方法，但是它们中的大多数未能有效地分离所有大麻素，或者没有根据一般指南进行验证。通过使用用于建模色谱响应的创新方法，开发了一种简单而准确的HPLC/DAD方法，用于定量大麻植物材料中存在的主要中性和酸性大麻素：Δ 9-四氢大麻酚（THC）THC酸（THCA），大麻二酚（CBD），CBD酸（CBDA），大麻萜酚（CBG），CBG酸（CBGA）和大麻酚（CBN）。定性测定δ 8-四氢大麻酚（δ 8-THC）。根据实验设计的实践，开发并使用预测性多线性模型，以找到最佳的色谱分析条件。根据总误差测量的P-期望容许区间使用准确度曲线并评估测量不确定度的方法，对该方法进行了验证。该分析方法可用于多种应用，例如植物表型测定、精神活性效力评价和材料质量控制。(C)2009 Elsevier B. V.保留所有权利。
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.