Pharmacognosy Institute, Center for Natural Product Technologies (CENAPT), and Department of Pharmaceutical Sciences, College of Pharmacy, University of Illinois at Chicago, Chicago, Illinois 60612, United States.
Department of Food Bioscience and Biotechnology, College of Bioresource Sciences, Nihon University, Fujisawa, Kanagawa 252-0880, Japan.
J Nat Prod. 2022 Mar 25;85(3):634-646. doi: 10.1021/acs.jnatprod.1c00976. Epub 2022 Jan 6.
Much confusion exists about the chemical composition of widely sold products that utilize the cannabidiol (CBD) acronym and related terms such as "CBD oil", "CBD plus hemp oil", "full spectrum CBD", "broad spectrum CBD", and "cannabinoids". Their rational chemical and subsequent biological assessment requires both knowledge of the chemical complexity and the characterization of significant individual constituents. Applicable to hemp preparations in general, this study demonstrates how the combination of liquid-liquid-based separation techniques, NMR analysis, and quantum mechanical-based NMR interpretation facilitates the process of natural product composition analysis by allowing specific structural characterization and absolute quantitation of cannabinoids present in such products with a large dynamic range. Countercurrent separation of a commercial "CBD oil" yielded high-purity CBD plus a more polar cannabinoid fraction containing cannabigerol and cannabidivarin, as well as a less polar cannabinoid fraction containing cannabichromene, -Δ-tetrahydrocannabinol, -Δ-tetrahydrocannabinol, and cannabinol. Representatives of six cannabinoid classes were identified within a narrow range of polarity, which underscores the relevance of residual complexity in biomedical research on cannabinoids. Characterization of the individual components and their quantitation in mixed fractions were undertaken by TLC, HPLC, H (q)NMR spectroscopy, H iterative full spin analysis (HiFSA), C NMR, and 2D NMR. The developed workflow and resulting analytical data enhance the reproducible evaluation of "CBD et al." products, which inevitably represent complex mixtures of varying molecular populations, structures, abundances, and polarity features.
关于广泛销售的利用大麻二酚 (CBD) 缩写和相关术语(如“CBD 油”、“CBD 加麻籽油”、“全谱 CBD”、“广谱 CBD”和“大麻素”)的产品的化学成分存在很多混淆。它们的合理化学和随后的生物学评估需要既了解化学复杂性,又要了解重要成分的特征。本研究适用于一般的麻类制剂,展示了如何结合液液分离技术、NMR 分析和基于量子力学的 NMR 解释,通过允许对存在于此类产品中的大麻素进行特定的结构表征和绝对定量,促进天然产物组成分析的过程,其中动态范围很大。商业“CBD 油”的逆流分离得到了高纯度的 CBD 加更极性的大麻素部分,其中含有大麻二酚和大麻二酚甲醚,以及含有大麻色烯、-Δ-四氢大麻酚、-Δ-四氢大麻酚和大麻醇的较少极性的大麻素部分。在较窄的极性范围内鉴定了六种大麻素类别的代表,这强调了大麻素在生物医学研究中残留复杂性的相关性。通过 TLC、HPLC、H(q)NMR 光谱、H 迭代全自旋分析(HiFSA)、C NMR 和 2D NMR 对单个成分进行了表征并对混合馏分进行了定量。开发的工作流程和由此产生的分析数据增强了对“CBD 等”产品的可重复评估,这些产品不可避免地代表了不同分子群体、结构、丰度和极性特征的复杂混合物。