Literature DB >> 26175160

Quantitation of Synthetic Cannabinoids in Plant Materials Using High Performance Liquid Chromatography with UV Detection (Validated Method).

Laura A Ciolino1.   

Abstract

Plant based products laced with synthetic cannabinoids have become popular substances of abuse over the last decade. Quantitative analysis for synthetic cannabinoid content in the laced materials is necessary for health hazard assessments addressing overall exposure and toxicity when the products are smoked. A validated, broadly applicable HPLC-UV method for the determination of synthetic cannabinoids in plant materials is presented, using acetonitrile extraction and separation on a commercial phenylhexyl stationary phase. UV detection provides excellent sensitivity with limits of quantitation (LOQs) less than 10 μg/g for many cannabinoids. The method was validated for several structural classes (dibenzopyrans, cyclohexylphenols, naphthoylindoles, benzoylindoles, phenylacetylindoles, tetramethylcyclopropylindoles) based on spike recovery experiments in multiple plant materials over a wide cannabinoid contents range (0.1-81 mg/g). Average recovery across 32 cannabinoids was 94% for marshmallow leaf, 95% for damiana leaf, and 92% for mullein leaf. The method was applied to a series of case-related products with determined amounts ranging from 0.2 to >100 mg/g. Published 2015. This article is a U.S. Government work and is in the public domain in the USA.

Entities:  

Keywords:  forensic science; herbals; high performance liquid chromatography-ultraviolet detection; plant products; quantitative analysis; synthetic cannabinoids; synthetic cannabis; synthetic marijuana; validated method

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Year:  2015        PMID: 26175160     DOI: 10.1111/1556-4029.12795

Source DB:  PubMed          Journal:  J Forensic Sci        ISSN: 0022-1198            Impact factor:   1.832


  1 in total

1.  Au-doped MOFs catalyzed electrochemiluminescence platform coupled with target-induced self-enrichment for detection of synthetic cannabinoid RCS-4.

Authors:  Qianying Cao; Ding Jiang; Fangmin Xu; Jing Wen; Wenchang Wang; Hiroshi Shiigi; Zhidong Chen
Journal:  Mikrochim Acta       Date:  2022-08-04       Impact factor: 6.408

  1 in total

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