A range of "Herbal High" products were tested for synthetic cannabinoids (cannabinomimetics) to qualitatively determine and compare their individual and relative content. Liquid chromatography-high resolution accurate mass spectrometry was used to rapidly screen samples for a range of cannabinomimetics using mono-isotopic masses derived from the elemental composition of target analytes. A screening database of over 140 compounds was rapidly created. This approach, combined with further tandem mass spectrometric experiments, also facilitated the detection and identification of compounds for which reference materials were not available. Previously reported cannabinomimetics, including JWH-018 and CP47,497 and its homologues, were detected in varying relative proportions along with several tentatively identified unreported cannabinomimetics. In some countries, the decision has been made to include these substances within their drug control legislation, and other countries are considering similar action. The currently applied drug screening techniques are unlikely to be effective in providing scientific evidence to support their identification in seized products. The application of high-resolution accurate mass spectrometry offers a solution. In addition, the technology provides a relatively simple and quick method for screening products, building substance databases, and even identifying novel substances using a combination of accurate mass derived elemental composition and fragment ions combined with fragmentation prediction software.
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Journal of Visualized Experiments
What is Visualize?
JoVE Visualize is a tool created to match the last 5 years of PubMed publications to methods in JoVE's video library.
How does it work?
We use abstracts found on PubMed and match them to JoVE videos to create a list of 10 to 30 related methods videos.
Video X seems to be unrelated to Abstract Y...
In developing our video relationships, we compare around 5 million PubMed articles to our library of over 4,500 methods videos. In some cases the language used in the PubMed abstracts makes matching that content to a JoVE video difficult. In other cases, there happens not to be any content in our video library that is relevant to the topic of a given abstract. In these cases, our algorithms are trying their best to display videos with relevant content, which can sometimes result in matched videos with only a slight relation.