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.
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)
Downloads
Similar Publications
- Two-Stage Approach for the Inference of the Source of High-Dimension and Complex Chemical Data in Forensic Science
- Forensic Science and the Courts - The Uses and Effects of Scientific Evidence in Criminal Case Processing - Final Report
- When the Management of Grief Becomes Everyday Life: The Aftermath of Murder