LAUSR

Numerous methods and techniques have been published for the identification of new psychoactive substances (NPS) and their metabolites in urine. However, there lacks a holistic approach to analyze different groups of NPS and their metabolites with decision points for reporting their use. In this study, Data Dependent Acquisition (DDA) workflow using Liquid Chromatography Quadrupole Time-of-Flight Mass Spectrometry (LC-QTOF-MS) was developed and validated for the identification of a total of 94 NPS and metabolites in urine using the established decision points. The limit of identification for all analytes was determined at 25% below their respective decision points. The method was demonstrated to be accurate and precise at their respective decision points with extraction recoveries and ion suppression/enhancement ranging from 51.0% to 103.5% and -81.6% to 159.1%, respectively. There was no observed carryover at up to 200 ng/mL for all analytes and no interferences from urine matrices, internal standards and other common drugs of abuse. The extracted drug analytes were stable at 4 °C and 15 °C for up to 3 days. The validated method was successfully evaluated and applied in the testing of urine samples from NPS users. In conclusion, this validated method can analyze a wide range of NPS and their metabolites with the use of decision points for consistency in reporting.