Combined Ambient Ionization Mass Spectrometric and Chemometric Approach for the Differentiation of Hemp and Marijuana Varieties of Cannabis Sativa

• NCJ Number: 306221
• Journal: Journal of Cannabis Research Volume: 5 Issue: 5 Dated: Feb 2023
• Author(s): Megan I. Chambers; Samira Beyramysoltan; Samira Beyramysoltan; Benedetta Garosi; Rabi Musah
• Date Published: February 2023
• Length: 13 pages
• Grant Number(s): 2015-DN-BX-K057; 2017-R2-CX-0020; 2019-DU-BX-0026
• Agencies: NIJ-Sponsored
• Publication Type: Research (Applied/Empirical)
• Award: Development of Ambient Ionization Mass Spectrometric and Multivariate Statistical Analysis Methods for Rapid High Throughput Analysis and Identification of Psychotropic Plant Species; Chemometric Processing of DART-HRMS-derived Dark Matter for the Identification of New Psychoactive Substances; Research to Develop Validated Methods for THC Quantification in Complex Matrices by High-resolution DART-MS—Focus on Edibles and Plant Materials

Annotation

The study presented here utilized DART-HRMS, for the first time, to investigate the complex genome-defined chemical fingerprints of hemp and marijuana (with no sample pretreatment) for the purpose of distinguishing between these two C. sativa varieties using multivariate statistical approaches.

Abstract

Advanced chemometrics was applied to the DART-HRMS data derived from commercial hemp, recreational marijuana, and marijuana samples from Drug Enforcement Administration (DEA)-registered suppliers to develop a robust model by which they (i.e., hemp and marijuana) could be readily differentiated. (Published abstract provided)