P2AR.8 - The discrimination of cannabis seed oils and flours by an array of porphyrnoids based gas sensors
- Event
- 17th International Meeting on Chemical Sensors - IMCS 2018
2018-07-15 - 2018-07-19
Vienna, Austria - Chapter
- P-2 - Sensor Arrays
- Author(s)
- R. Risoluti, S. Materazzi - Department of Chemistry, Sapienza University of Rome, Rome (Italy), R. Capuano, C. Di Natale - Department of Electronic Engineering, University “Tor Vergata”, Rome (Italy), L. Lvova, R. Paolesse - Department of Chemical Science and Technologies, University “Tor Vergata”, Rome (Italy)
- Pages
- 915 - 916
- DOI
- 10.5162/IMCS2018/P2AR.8
- ISBN
- 978-3-9816876-9-9
- Price
- free
Abstract
In this study, we present an application of an array of porphyrinoids-coated quartz microbalances (QMB) gas sensors aimed at distinguishing among derivates of Cannabis Sativa L. plant. To this end, samples of cannabis oil and flour, both commercially available and obtained from local manufactures were tested. Samples were different in terms of cannabinoids, ∆9-tetrahydrocannabinol (THC) and cannabidiol (CBD), content. Samples composition was determined with a standard GC-MS method. A Partial Least Squares (PLS) Regression model was calculated to estimate the CBD content in cannabis flour. Results show a prediction of the content of CBD with a correlation coefficient R2=0.961 and a Root Mean Squared Error of Calibration (RMSEC) of 0.078 mg/g. The results show the Electronic Nose as a promising tool for rapid and non-invasive screening of Cannabis Sativa L. products.