A Fast and Comprehensive Analysis of 32 Synthetic Cannabinoids Using Agilent Triple Quadrupole LC-MS-MS.

Clicks: 378
ID: 53309
2017
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Popular

Ranked #2 of 49 articles by views in journal of analytical toxicology

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Synthetic cannabinoids are a group of psychoactive compounds that mimic the effects of Δ9-tetrahydrocannabinol, the primary psychoactive constituent of marijuana (Cannabis sativa L). The Drug Enforcement Administration has classified many of the most common cannabinoids as Schedule 1 controlled substances. As a result, several novel synthetic cannabinoid series have emerged in the illicit drug market, including PINACA, FUBINACA, PB-22, AKB-48 and multiple derivatives of these compounds. Our laboratory developed and validated an analytical method for the analysis 32 synthetic cannabinoid metabolites in urine samples. Included in this method are metabolites that are constituents of the new generation of synthetic cannabinoids. Following enzymatic hydrolysis, target analytes were recovered by liquid-liquid extraction utilizing 1-chlorobutane:isopropyl alcohol (70:30) as the organic ratio. Chromatographic separation and detection was achieved using an Agilent Technologies 1290 liquid chromatograph coupled to a 6460-triple quadrupole mass spectrometer with a Jetstream electrospray source. Linearity for all analytes was established along the range of 0.5-200 ng/mL. Both intraday and interday accuracy and precision data were all within acceptable limits, ±20% error and ±15% relative standard deviation, respectively. Recovery ranged from 48% to 104%. This method has shown to be selective and specific, providing no evidence of interference or carryover concerns. Finally, 11 distinct synthetic cannabinoids were detected in 23 of 25 donor samples analyzed with the method. The data presented here represents a validated liquid chromatography  tandem mass spectrometry method to accurately identify and quantitate synthetic cannabinoid metabolites in urine samples, incorporating new generation derivatives.
Reference Key
borg2017ajournal Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Borg, Damon;Tverdovsky, Anna;Stripp, Richard;
Journal journal of analytical toxicology
Year 2017
DOI
10.1093/jat/bkw104
URL
Keywords
Epidural intrathecal medication error intraventricular neuromuscular blocker rocuronium

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.