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
- The Diversity of Decarceration: Examining First-Year County Realignment Spending in California
- Differential Sampling of Contact Surfaces of Footwear to Separate Fractions of Loosely, Moderately and Tightly Held Particles
- Low Risk Offenders Under Probation Supervision: Risk Management and the Risk-Needs-Responsivity Framework