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May 24, 2021 | Blogs, Environmental / Industrial | 0 comments
Read time: 4 minutes
Cannabis strains not only have different effects, but also serve different purposes. In the mainstream world, cannabis is grouped into 3 distinct strains: Indica, Sativa and hybrid. Indica strains are of Hindu Kush Mountain origins, and they are high in tetrahydrocannabinol (THC) content and dense cannabidiol (CBD). They are often believed to be relaxing and are used in pain management. Sativa strains, on the other hand, have a more energizing effect, and hybrid strains are a combination of Indica and Sativa.1
Many in the cannabis industry are beginning to step away from these generic references to strains, however, as these substances do not meet the scientific definition of a strain, which is a term more related to bacteria or viruses, and they are instead opting for the term “chemovars” (chemical varieties).2-3
What’s in a name?
Chemovar names as we know them are loosely based on smell and on anecdotal consumer experience rather than on chemical fingerprints. For example, Sunburn Popcorn and OG Popcorn share a buttery popcorn smell, which may have inspired their names, but statistical analysis—both non-targeted and targeted at just the cannabinoids—reveals that their chemical fingerprints are actually dissimilar.
At present, chemovars are separated based on cannabinoids and terpene profiles. However, similar to wine varieties, chemovars can be extremely different depending on where they are grown. Even their effects can vary. For instance, in a recent Meet the Experts webinar, Application Scientist Karl Oetjen of SCIEX delved into how body reactions to cannabis can be dependent on where the plant is grown.
The cannabis plant is a living organism and reacts to differences in growing environments, producing different levels of cannabinoids, terpenes and metabolites depending on the stressors that are present. Gorilla Glue grown in California may be different from Gorilla Glue grown in Colorado because of the nutrients used, indoor vs. outdoor growing or light exposure, for instance.
With all of this in mind, it’s clear that chemovar names don’t mean much to an analytical scientist, since chemovars with similar names can be very different. Alas, there is no easy way to classify cannabis chemovars, which leads to what is known as the entourage effect.
Entourage effect basics
The entourage effect is the synergistic relationship between chemicals that produce a particular feeling. Entourage effect analytical studies can be massively complex with a lot of data mining. Statistical analysis similar to chemical fingerprinting can help separate different chemovars from one another by focusing primarily on terpenes/cannabinoid interactions and amounts.
Using an analytical tool called accurate mass spectrometry and non-targeted analysis, we can tease apart the differences between chemovars. A non-targeted analysis is the least biased because it’s looking for everything in the cannabis plant and can give you insights into the particular variety. It identifies unknowns rather than just looking at cannabinoids and terpenes.
A non-targeted study actually showed that chemovar identification based on just the cannabinoid profile doesn’t work, and that there is no exclusive chemical fingerprint between different varieties because there is overlap. For example, a particular sample of OG Kush smoked in Colorado may actually be more similar to Tangerine Sunrinse in California than OG Kush in California. During the study, over 3,400 chemical features were identified in the chemovar during non-targeted analysis, which really digs into the components that may direct the entourage effect.
References
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It is no secret that (bio)pharmaceutical research and development is complex, both scientific and regulatory processes. Here is an overview of just some of the ways SCIEX is working to support these challenges.
In a recent webinar, available on demand, scientists Luiza Chrojan and Ryan Hylands from Pharmaron, provided insights into the deployment of capillary gel electrophoresis (CGE) within cell and gene therapy. Luiza and Ryan shared purity data on plasmids used for adeno-associated virus (AAV) manufacturing and data on AAV genome integrity, viral protein (VP) purity and VP ratios using the BioPhase 8800 system.
Last year, Technology Networks hosted two webinars that featured groundbreaking research utilizing SWATH DIA (data-independent acquisition) for exposomics and metabolomics. Researchers Dr. Vinicius Verri Hernandes from the University of Vienna and Dr. Cristina Balcells from Imperial College London (ICL) demonstrated how a DIA approach can be successfully implemented in small molecule analysis using the ZenoTOF 7600 system. Their innovative approaches highlight the potential of SWATH DIA to enhance the detection and analysis of chemical exposures and metabolites, paving the way for new insights into environmental health and disease mechanisms.
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