A validated method for detection of cannflavins in hemp extracts.

A selective and sensitive liquid chromatography mass spectrometry assay was developed for the detection of cannflavin A, B, and C in hemp extract specimens. A deuterated analog cannabidiol-D3 was used as the internal standard and the isocratic method used a mobile phase consisting of acetonitrile and water with 0.1 % formic acid [83:17]. Detection was carried out by electrospray positive ionization in single-ion monitoring mode through a C-18 analytical column. The assay (total run time <20 min) had excellent linearity and a lower limit of quantification of 0.5 µg/mL and a limit of detection of 0.25 µg/mL with a 10 µL injection. The method possessed suitable measures of stability, sensitivity, and selectivity for detecting cannflavins in several specimen types. The method was successfully applied to the analysis of samples of cannflavin release from prototype topical formulations.

Therapeutic Potential and Predictive Pharmaceutical Modeling of Stilbenes in Cannabis sativa.

Cannabis sativa is a plant used for recreational and therapeutic purposes; however, many of the secondary metabolites in the plant have not been thoroughly investigated. Stilbenes are a class of compounds with demonstrated anti-inflammatory and antioxidant properties and are present in cannabis. Many stilbenes present in cannabis have been investigated for their therapeutic effects. Fourteen stilbenes have been identified to be present in cannabis, all of which are structurally dihydrostilbenoids, with half possessing a prenylated moiety. The stilbenes summarized in this analysis show varying degrees of therapeutic benefits ranging from anti-inflammatory, antiviral, and anti-cancer to antioxidant effects. Many of the identified stilbenes have been researched to a limited extent for potential health benefits. In addition, predictive in silico modeling was performed on the fourteen identified cannabis-derived stilbenes. This modeling provides prospective activity, pharmacokinetic, metabolism, and permeability data, setting the groundwork for further investigation into these poorly characterized compounds.