Very fast RP–UHPLC–PDA method for identification and quantification of the cannabinoids from hemp oil

13Citations
Citations of this article
26Readers
Mendeley users who have this article in their library.

Abstract

In recent years, hemp oils have become ubiquitous in health products on the European market. As the trend continues to grow and more cannabinoids are researched for their therapeutic benefits, more academic and industrial interests are drawn to this direction. Cannabidiol, ∆9-tetrahydrocannabinol, and their acidic forms remain the most examined cannabinoids in hemp and cannabis oils, in the case of cannabidiol due to its proven health implications in numerous articles, and in the case of ∆9-tetrahydrocannabinol, due to the legislation in the European area. These oils sold on the internet contain a wide range of cannabinoids that could demonstrate their effects and benefits. As a result of these claims, we developed a robust and rapid method that can identify and quantify 10 of the most common cannabinoids found in hemp oils: cannabivarin, cannabidiolic acid, cannabigerolic acid, cannabigerol, cannabidiol, cannabinol, ∆9-tetrahydrocannabinol, ∆8-tetrahydrocannabinol, cannabichromene, and tetrahydrocannabinolic acid in less than 11 min, with reverse-phase–high-performance liquid chromatography–photodiode matrix system (RP–UHPLC–PDA) equipped with C18 column, eluting in a gradient using water and acetonitrile with formic acid as mobile phases. The quantification of 9 sample products presented in different matrixes was performed using a calibration curve obtained by analyzing standard solutions from a 10-cannabinoid-mix-certified reference standard. The developed method demonstrated the ability to identify and quantify the main cannabinoids in hemp oil and is a useful tool for pharmaceutical professionals.

Cite

CITATION STYLE

APA

Blebea, N. M., Rambu, D., Costache, T., & Negreș, S. (2021). Very fast RP–UHPLC–PDA method for identification and quantification of the cannabinoids from hemp oil. Applied Sciences (Switzerland), 11(20). https://doi.org/10.3390/app11209414

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free