4.7 Article

Development of an analytical method to detect simultaneously 219 new psychoactive substances and 65 other substances in urine specimens using LC-QqQ MS/MS with CriticalPairFinder and TransitionFinder

Journal

TALANTA
Volume 238, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.talanta.2021.122979

Keywords

New psychoactive substances; Lc-ms; MRM; CriticalPairFinder; TransitionFinder

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Analyzing emerging new psychoactive substances presents a significant risk to public health, highlighting the importance of developing specific analytical methods for these substances. This study refined a novel workflow using in-house tools to develop an MRM-based method, effectively identifying unique and selective MRM transitions, which was successfully applied to urine sample analysis, providing a new approach for method development in analyzing complex samples.
Emerging new psychoactive substances (NPS) poses a great risk to public health. Analyzing these large numbers of NPS and other associated substances often relies on liquid chromatography coupled to triple quadrupole mass spectrometry (LC-QqQ-MS) with multiple-reaction monitoring (MRM) mode. However, the differentiation of critical pairs, coeluted isobaric and/or isomeric species, is one of the challenges for this analytical platform. MRM transitions with poor selectivity can jeopardize accurate quantification and lead to biased interpretation. Herein, we refined a novel workflow for developing an MRM-based method with in-house CriticalPairFinder and TransitionFinder tools for the effective identification of unique and selective MRM transitions. Transitions selected by TransitionFinder showed much better accuracies than those selected only by fragment abundance in some mixtures of critical pairs. Using the proposed analytical strategy, a method that can simultaneously determine 219 NPS and 65 other substances across a variety of NPS classes in urine samples was developed, validated and applied to analyze clinical urine samples. This automated workflow is anticipated to facilitate method development for analyzing complex analytes while considering selectivity.

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