Is it possible human senses alone can detect the psychotropic spectrum of green flower cannabis? The idea of detecting terpenes, which is predicting the psychoactive effects of different hybrid cannabis types, can be a little complex.

We have waited many years for a team of scientists and an objective approach to test aspects of detecting terpenes, which recently became available. The company, Abstrax Technology, out of California is a team of scientists and researchers who developed a terpene supercomputer capable of detecting the effect differences of cannabis.

Abstrax decided to put detecting terpenes to the test with some pretty interesting results. Let’s dive into how detecting terpenes works, how Abstrax tests cannabis samples, and how they put detecting terpenes to the test.

Detecting terpenes cannot access the many cannabinoids in cannabis, such as Tetrahydrocannabinol (THC), Cannabidiol (CBD), Cannabigerol (CBG), etc., through observation alone because cannabinoids are invisible to the eyes and nose. People can see the ripening spectrum of the collective cannabinoids in the plant within the trichomes using the naked eye or microscope.

The ripening stage of cannabinoids, but will not tell us which cannabinoids are present and at what percentages in green flower cannabis. Cannabinoids are accurately detected with High-Pressure Liquid Chromatography (HPCL) which when detecting terpenes don’t utilize when evaluating cannabis.

Many people believe the greatest effect differences of green flower cannabis are due to the cannabinoids such as Tetrahydrocannabinol (THC) and Cannabidiol (CBD). This old-school idea has changed over recent years as people learn more about the plant, and now consumers are beginning to understand that the effect differences of cannabis are due more to terpenes than cannabinoids.

Cannabis produces anywhere from dozens to over four hundred (400) individual terpenes within a single variety, and the types of terpenes within the different flowers play a major role in the effects experienced when they’re inhaled. People can smell the dominant aromas like citrus, pine, and dank (limonene, pinene, and myrcene) within the mix of terpenes when they smell cannabis, but they cannot smell the hundreds of individual terpenes on any given cannabis sample.

Detecting terpenes is an art and science that suggests terpene groups can be physically felt in different parts of the face and that these qualities relate to a particular type of psychoactive effect. Terpenes are responsible for the different ways cannabis makes people feel, such as stimulated or sedated, including the effects in between.

These differences are frequently and wrongly categorized as Indica or Sativa.” Indica and Sativa are old-school categories for species or subspecies of cannabis; they are plant types, not effect types. The science behind the effects of different hybrid cannabis is based on the types of conglomerated terpenes present within different ratios that produce different effects.

Say a sample of cannabis has one hundred (100) terpenes; each terpene has a certain chemical effect, and different strengths. D-limonene and A-pinene both produce uplifting effects, whereas linalool and myrcene produce relaxing effects. Consider this as an example; a green cannabis flower has seventy (70) stimulating terpenes with the other thirty (30) being more sedative in nature.

With a 70/30 variance, the majority of the terpenes present should produce more of a stimulating effect. Detecting terpenes suggest that you can sense this 70/30 variance by paying attention to where the terpene molecules are felt to stimulate the trigeminal nerve.

The art of detecting terpenes is to determine where the specific terpene ratio/clusters of terpene effect types are felt between the maxillary and ophthalmic zones of the trigeminal nerve; this assists in predicting the effect of the green flower.

Attending to the stimulation in the face within these zones, in combination with their visual observations of the inflorescence and dominant terpenes noted by smell, allows a terpene detector to gauge the psychotropic spectrum of cannabis effects.

Cannabis Green Flower Gas Chromatography

Testing Cannabis Green Flower
Abstrax Tech Instrument room housing 2-dimensional gas chromatographic system for cannabis green flower media testing.

Typically, cannabis industry labs use gas chromatography programs that read for 6, 12, 24, or 42 common cannabis terpene types, which is generally at the discretion or technical capabilities of the lab. What separates the Abstrax lab from other traditional cannabis labs is the number of terpenes they can detect.

Abstrax invested millions of dollars and years of research to build a custom terpene supercomputer that can read and break down the hundreds of terpenes cannabis has – and more, what they mean.

The Abstrax terpene test doesn’t just notice hundreds of other terpenes all other labs miss; they can see the terpenes from a bird’s eye view, whereas most other cannabis labs only have a one-dimensional plane of analysis.

Abstrax’s process is a 2-dimensional gas chromatographic system coupled with mass spectrometry designed to create a 3D Metabolite Fingerprint™. Compared with traditional 1-dimensional gas chromatography – a method commonly used in analytical labs – 2-dimensional gas chromatography (2DGC) allows for much better separation of compounds, a requirement to correctly identify and quantify them.

In short, the operating principle in 2DGC is to first separate compounds by molecular size, followed by the separation of these compounds further by polarity. This allows for much easier and more accurate identification of each compound compared with a simple 1-dimensional chromatogram.

 

2D & 3D Cannabis Green Flower Chromatogram

Green Flower Media Chromatogram
Left: Chromatogram obtained from traditional 1-dimensional gas chromatography of green flower cannabis. Right: Chromatogram obtained from 2-dimensional gas chromatography.

Abstrax can then analyze the 2D data in 3D to determine how much of each compound exists and the size of a peak corresponds to the quantity of a given compound.

Each spot represents an individual compound. Over 400 terpene compounds have been found in some green flower cannabis strains such as Jack Herer and Gelato. With this new powerful analytical technique, Abstrax has discovered numerous important compounds in cannabis that have never been reported before.

However, the most exciting aspect of this research has been the direct correlation between certain terpenes within cannabis and the effects (stimulating or sedative) they produce. Abstrax developed a metric they call Strain Balance” to explain how the major components of a strain relate to one another.

This allows for understanding how complex a given strain’s aroma may present itself and what lies behind it. The aroma of cannabis is not only pungent but extremely complex and difficult to describe. Abstrax finds that in general, strains with a small number of compounds accounting for a high percentage of the total aroma concentration lead to less complex, more targeted aromas.

Conversely, strains that have more diversity in their highest concentration compounds often have more nuanced, complex aroma profiles. To approximate this, they introduce the Strain Balance Metric. This metric relates the top aroma compound concentrations to quantify how complex a strain profile is. This is calculated by conducting statistical analysis on the dominant terpenes and normalizing them from 0 – 100.

This terpene metric allows Abstrax to compare strains and dissect their aromas, which is new for cannabis science and technology. Each detected terpene has a researchable and determining effect type programmed in the Abstrax database.

When all the terpenes are calculated together, it gives a total effect type conclusion of that strain of cannabis. This means the cannabis industry doesn’t have to inaccurately guess the effect type based on strain names, Indica, or Sativa. Now, consumers select the effect they are looking for with their green flower cannabis.

Let us know what you think.

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