Exploiting the triple quadrupole mass analyzer for the open detection and tentative identification of synthetic cannabinoid receptor agonists based on common fragmentation pathways.

BACKGROUND

The use of new psychoactive substances (NPS) has emerged as a significant public health concern globally, due to their unknown and unpredictable effects on both physical and mental health. Among them, synthetic cannabinoids receptor agonists (SCRAs) currently stand as the most widely consumed NPS family in Europe. Since the detection of JWH-018 in 2008, the structures of these compounds have evolved to circumvent legislation and/or enhance their effects, consequently increasing the number of reported SCRAs to be monitored. Therefore, new strategies are needed to identify these compounds, whether in seized products or in biological samples.

RESULTS

This study presents the development of an open method for detecting SCRAs employing a "pseudo-target" screening approach, a strategy previously developed and used in our laboratory for synthetic cathinones identification. The methodology involves monitoring the main product ions and neutral losses derived from 179 SCRAs of the third and fourth generations, based on their fragmentation pathways. This approach allows for the tentative identification of the SCRAs, supported also by the created database. The versatility of the developed methodology is highlighted, extending its utility beyond seizure products or 'legal highs', to biological samples. In this sense, it has been successfully applied not only to the detection of SCRAs in research chemicals but also in authentic urine from an anonymous SCRAs consumer, through the identification of a metabolite.

SIGNIFICANCE

This strategy will be particularly useful for the rapid detection of SCRAs in forensic and toxicological laboratories equipped with low-resolution MS/MS instrumentation. This is a valuable tool for the identification and monitoring of SCRAs across various contexts, significantly contributing to public health and forensic security efforts. It is especially beneficial for healthcare providers, enabling them to make informed treatment decisions.