Identification of Synthetic Cannabinoid 5F-EDMB-PICA in Suspicious Herbal Products / 法医学杂志
Journal of Forensic Medicine
; (6): 486-492, 2021.
Article
in Chinese
| WPRIM (Western Pacific)
| ID: wpr-985237
Responsible library:
WPRO
ABSTRACT
Objective To study the qualitative analysis strategy for unknown synthetic cannabinoid in the suspicious herbal product when no reference substance is available. Methods The synthetic cannabinoid in herbal blend was extracted with methanol. The extract was concentrated by rotary evaporator and separated and purified by preparative liquid chromatography, to obtain high purity synthetic cannabinoid sample. Gas chromatography-mass spectrometry (GC-MS), ultra-high performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS) and nuclear magnetic resonance (NMR) were used to determine the structure of the prepared compound. Results High purity unknown sample (10 mg) was obtained by preparative liquid chromatography. The sample was analyzed by GC-MS, UPLC-TOF-MS and NMR, and through spectrum analysis, the unknown synthetic cannabinoid was determined as 5F-EDMB-PICA. Conclusion The method to extract unknown synthetic cannabinoid from low content herbal products by preparative liquid chromatography was established, and the structure of the unknown sample was identified by comprehensive use of GC-MS, UPLC-QTOF-MS and NMR. The information will assist forensic laboratories in identifying this substance or other compounds with similar structures in their casework.
forensic medicine; toxicological analysis; new psychoactive substance; synthetic cannabinoids; gas chromatography-mass spectrometry (GC-MS); ultra-high performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS); nuclear magnetic resonance (NMR); 5F-EDMB-PICA; plant samples
Full text:
Available
Database:
WPRIM (Western Pacific)
Main subject:
Mass Spectrometry
/
Cannabinoids
/
Chromatography, High Pressure Liquid
/
Chromatography, Liquid
/
Gas Chromatography-Mass Spectrometry
Language:
Chinese
Journal:
Journal of Forensic Medicine
Year:
2021
Document type:
Article