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大麻——从品种到化学型。

Cannabis - from cultivar to chemovar.

机构信息

R&D Department, Bedrocan BV, Veendam, the Netherlands.

出版信息

Drug Test Anal. 2012 Jul-Aug;4(7-8):660-7. doi: 10.1002/dta.407. Epub 2012 Feb 24.

Abstract

The medicinal use of Cannabis is increasing as countries worldwide are setting up official programs to provide patients with access to safe sources of medicinal-grade Cannabis. An important question that remains to be answered is which of the many varieties of Cannabis should be made available for medicinal use. Drug varieties of Cannabis are commonly distinguished through the use of popular names, with a major distinction being made between Indica and Sativa types. Although more than 700 different cultivars have already been described, it is unclear whether such classification reflects any relevant differences in chemical composition. Some attempts have been made to classify Cannabis varieties based on chemical composition, but they have mainly been useful for forensic applications, distinguishing drug varieties, with high THC content, from the non-drug hemp varieties. The biologically active terpenoids have not been included in these approaches. For a clearer understanding of the medicinal properties of the Cannabis plant, a better classification system, based on a range of potentially active constituents, is needed. The cannabinoids and terpenoids, present in high concentrations in Cannabis flowers, are the main candidates. In this study, we compared cultivars obtained from multiple sources. Based on the analysis of 28 major compounds present in these samples, followed by principal component analysis (PCA) of the quantitative data, we were able to identify the Cannabis constituents that defined the samples into distinct chemovar groups. The study indicates the usefulness of a PCA approach for chemotaxonomic classification of Cannabis varieties.

摘要

随着全球各国纷纷设立官方项目,为患者提供安全的药用级大麻来源,大麻的药用用途正在增加。一个仍然需要回答的重要问题是,应该提供大麻的众多品种中的哪些品种用于药用。大麻的毒品品种通常通过使用流行名称来区分,其中一个主要区别是印度大麻和 Sativa 类型。尽管已经描述了超过 700 种不同的品种,但尚不清楚这种分类是否反映了在化学成分方面的任何相关差异。已经有人试图根据化学成分对大麻品种进行分类,但这些分类主要用于法医应用,将高 THC 含量的毒品品种与非毒品大麻品种区分开来。生物活性萜类化合物并未包含在这些方法中。为了更清楚地了解大麻植物的药用特性,需要建立一个更好的分类系统,该系统基于一系列潜在的活性成分。大麻花中高浓度存在的大麻素和萜烯是主要候选物。在这项研究中,我们比较了来自多个来源的品种。基于对这些样品中存在的 28 种主要化合物的分析,以及对定量数据进行主成分分析 (PCA),我们能够确定将样品定义为不同化学变种组的大麻成分。该研究表明 PCA 方法在大麻品种的化学分类学分类中的有用性。

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