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Use Of Handheld FT/NIR Sensors To Rapidly Quantify Cannabinoids of Hemp, in situ.

Type: 

Abstract:

Hemp is a crop that has agricultural, economic, and pharmaceutic potential yet is still being researched. Hemp is known to produce over 100 phytocannabinoids, including cannabidiol (CBD) and ?9/tetrahydrocannabinol (?9/THC). Hemp is a plant that must contain less than 0.3% THC w/w, per the 2018 Farm Bill. Current analytical methods of High/Performance Liquid Chromatography/ tandem mass spectrometry (HPLC/MS/MS), which is a selective and sensitive method, but is cost inefficient, time/consuming, and requires complex analysis. Fourier Transform Near Infrared (FT/NIR) is a non/destructive, non/invasive method with the potential to be added to inline production settings. The analysis of FT/NIR is almost instantaneous compared to HPLCMS/MS with a fraction of the cost. Hemp samples were scanned using a handheld FT/NIR scanner. Cannabinoids were extracted from hemp inflorescence and analyzed by HPLC/MS/MS. The two data matrices were correlated by Partial Least Squares Regression (PLSR) and a prediction model was generated. The prediction model allowed for the differentiation between drug/type (THC>0.3%) and fiber/type (THC<0.3%) hemp by their content of THCA (.27/.80%) and THC (.021/.056%), and the ability to quantify 4 different cannabinoids in a single measurement, including CBDA (7.7 - 20.7%). The prediction model yielded a small standard error of cross/validation and high correlation coefficient of cross/validation of Rcv>0.95. This experimentation shows the use of a small handheld scanner to provide a faster and cheaper analysis of a very heavily regulated crop with relatively no standardized methodology of analysis. This technology will benefit hemp growers and analysts of hemp material greatly.

Published in: 
Ohio State University
Category: 
Cannabis & Hemp
Date of Publication: 
August 1, 2022
Authors: 
Cameron Michael Jordan
University: 
Ohio State University
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