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大麻代谢指纹图谱分析,大麻素和萜烯类化合物用于化学分类学和药物标准化目的。

Metabolic fingerprinting of Cannabis sativa L., cannabinoids and terpenoids for chemotaxonomic and drug standardization purposes.

机构信息

Division of Pharmacognosy, Section Metabolomics, Institute of Biology, Leiden University, Leiden, The Netherlands.

出版信息

Phytochemistry. 2010 Dec;71(17-18):2058-73. doi: 10.1016/j.phytochem.2010.10.001. Epub 2010 Oct 30.

Abstract

Cannabis sativa L. is an important medicinal plant. In order to develop cannabis plant material as a medicinal product quality control and clear chemotaxonomic discrimination between varieties is a necessity. Therefore in this study 11 cannabis varieties were grown under the same environmental conditions. Chemical analysis of cannabis plant material used a gas chromatography flame ionization detection method that was validated for quantitative analysis of cannabis monoterpenoids, sesquiterpenoids, and cannabinoids. Quantitative data was analyzed using principal component analysis to determine which compounds are most important in discriminating cannabis varieties. In total 36 compounds were identified and quantified in the 11 varieties. Using principal component analysis each cannabis variety could be chemically discriminated. This methodology is useful for both chemotaxonomic discrimination of cannabis varieties and quality control of plant material.

摘要

大麻是一种重要的药用植物。为了将大麻植物材料开发为药品,对其进行质量控制并进行明确的化学分类学区分是必要的。因此,在这项研究中,11 种大麻品种在相同的环境条件下生长。大麻植物材料的化学分析采用气相色谱火焰离子化检测法,该方法经过验证可用于定量分析大麻单萜、倍半萜和大麻素。使用主成分分析对定量数据进行分析,以确定在区分大麻品种方面哪些化合物最重要。在 11 个品种中总共鉴定和定量了 36 种化合物。使用主成分分析,可以对每种大麻品种进行化学区分。这种方法既适用于大麻品种的化学分类学区分,也适用于植物材料的质量控制。

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