Synthetic cannabinoids are functionally similar to 9‐ tetrahydrocannabinol, the psychoactive principle of cannabis. They fall in a wide range of structural classes, and are mainly categorized into three groups: aminoalkyindoles naphthoylindoles, phenylacetylindoles and benzoylindoles), cyclohexylphenols, and classical cannabinoids. The development of analytical strategies to detect their presence in different matrices are of crucial importance for forensic purpose. Here we present an analytical strategy to detect known and unknown synthetic cannabinoids in different matrices
Development of a LC-MS/MS analytical strategy based on class-characteriitc fragmentation pathways to detect synthetic cannabinoids in different matrices / M., Mazzarino; X., de la Torre; I., Fiacco; Botre', Francesco. - STAMPA. - (2013), pp. -------. (Intervento presentato al convegno XXX CONFERENCE OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY tenutosi a MINNEAPOLIS, USA nel GIUGNO 2013).
Development of a LC-MS/MS analytical strategy based on class-characteriitc fragmentation pathways to detect synthetic cannabinoids in different matrices
BOTRE', Francesco
2013
Abstract
Synthetic cannabinoids are functionally similar to 9‐ tetrahydrocannabinol, the psychoactive principle of cannabis. They fall in a wide range of structural classes, and are mainly categorized into three groups: aminoalkyindoles naphthoylindoles, phenylacetylindoles and benzoylindoles), cyclohexylphenols, and classical cannabinoids. The development of analytical strategies to detect their presence in different matrices are of crucial importance for forensic purpose. Here we present an analytical strategy to detect known and unknown synthetic cannabinoids in different matricesI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
