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

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 ar...

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Bibliographic Details
Published inJournal of forensic sciences Vol. 60; no. 5; pp. 1171 - 1181
Main Author Ciolino, Laura A.
Format Journal Article
LanguageEnglish
Published United States Blackwell Publishing Ltd 01.09.2015
Wiley Subscription Services, Inc
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Summary: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.
Bibliography:ark:/67375/WNG-6R32PD16-9
istex:8233B1CBDCBC0C93839F5B1FF9C6CDF8232D454D
ArticleID:JFO12795
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0022-1198
1556-4029
DOI:10.1111/1556-4029.12795