Robust comparison of terpene profiles across cannabis strains
This study describes the use of GC×GC–FID for robust profiling of terpenes in cannabis. A key feature is the enhanced separation provided by GC×GC, which improves confidence in compound identity and data quality.
contributed by SepSolve Analytical |
Introduction
The classification of terpenes is an important aspect of cannabis analysis, due to the distinctive aroma and flavour that they impart, as well as their potential therapeutic effects.[1] Consequently, plant breeders will often attempt to engineer cultivars with specific terpene profiles, in order to encourage particular traits.[2]
There are three main sub-species of cannabis – indica, sativa and ruderalis – but there are now also hundreds of commercial strains based on these sub-species and their hybrids. It is therefore important to be able to confidently profile terpenes to distinguish differences across the strains, for accurate flavour profiling and consistent therapeutic effects.
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