Cannabinomics refers to the scientific approach of using mass spectrometry and statistical analysis to differentiate between available cannabis species.
It is the year 2022, where cannabis laws are becoming more flexible by the day and adequate and precise information about the natural herb is available to everyone. While we are all grateful for the growth of cannabis laws and regulations, there is still a need for more scientific research about the plant.
In this article, we will be paying close attention to cannabinomics and its use in analyzing cannabis varieties.
What Is Cannabinomics?
It is safe to say that cannabinomics isn’t exactly a word that is commonly used among the majority of cannabis enthusiasts and this is because it is majorly a scientific term. Cannabinomics refers to the scientific approach of using mass spectrometry and statistical analysis to differentiate between available cannabis species. In clearer terms, the scientific process involves the use of analytical processes to identify phytochemical markers that can be used to differentiate between cannabis varieties.
The general knowledge among most cannabis users is that the difference in cannabis varieties largely boils down to whether it is sativa, indica, or a hybrid of both. While this may be fundamentally true, there is still more to the differences in cannabis varieties than the species they originate from. This is why many cannabis growers and researchers over time have used THC and CBD concentration as a major marker in differentiating varieties.
The use of THC and CBD as main markers for differentiating cannabis varieties has been quite instrumental both in terms of research, cultivation, and use. This is because it helps to give the grower and/or user an idea of what to expect from the herb. However, there is still room for differentiating cannabis varieties beyond just THC and CBD which is where cannabinomics comes in. The process uses compounds less prominent as THC and CBD to analyze and differentiate different cannabis varieties.

