We've updated our Privacy Policy to make it clearer how we use your personal data.

We use cookies to provide you with a better experience, read our Cookie Policy

Analytical Cannabis Logo
Home > News > Testing > Content Piece

Terpenoid Profiles in Cannabis Classification

Published: Jan 12, 2018   

Complete the form below and we will email you a PDF version of "Terpenoid Profiles in Cannabis Classification"

First Name*
Last Name*
Email Address*
Company Type*
Job Function*
Would you like to receive further email communication from Analytical Cannabis?

Analytical Cannabis Ltd. needs the contact information you provide to us to contact you about our products and services. You may unsubscribe from these communications at any time. For information on how to unsubscribe, as well as our privacy practices and commitment to protecting your privacy, check out our Privacy Policy

Dr. Cindy Orser, Chief Science Officer at Digipath Labs, recently published original research on the application of terpenoid chemoprofiles for cannabis classification in the peer-reviewed journal, Natural Products Chemistry & Research. This research furthers Digipath's scientific analysis on the importance of terpenoid data for growers and consumers.

The detailed chemical database resulting from the analyses of thousands of cannabis flower samples from an artificially geographically restricted area can serve as the basis for the development of a chemotaxonomic classification scheme outside of conjectural cultivar naming by strain. Chemotaxonomic classification schemes for cannabis cultivars have previously been reported by others based largely on cannabis strains grown under an unregulated testing environment or in Europe from strains grown by a single cultivator. In this study 2,237 individual cannabis flower samples, representing 204 individual strains across 27 cultivators in a tightly regulated Nevada cannabis testing market, were analyzed across 11 cannabinoids and 19 terpenoids. Even though 98.3% of the samples were from Type I cannabis strains with high THCA content, principal component analysis (PCA) of the combined chemometric dataset resulted in three distinct clusters that were distinguishable by terpenoid profiles alone.

Dr. Cindy Orser commented, "We propose that three terpenoid cluster assignments account for the diversity of drug-type cannabis strains currently being grown in Nevada. Expanded chemometric datasets will be used to further refine the Digipath terpenoid-centric classification scheme across cannabis cultivars." 

Todd Denkin, President and COO at Digipath Labs, reiterated the company's goal of leveraging terpenoid data by stating, "after years of focusing solely on THCA content, cannabis growers are now paying more attention to the distinctive subtleties that terpenoids contribute."

This article has been republished from materials provided by Digipath Inc. Note: material may have been edited for length and content. For further information, please contact the cited source.


Like what you just read? You can find similar content on the topic tags shown below.

Cultivation Testing

Stay connected with the latest news in cannabis extraction, science and testing

Get the latest news with the FREE weekly Analytical Cannabis newsletter