Posters & Presentations

Using a Virtual Liquid Chromatography Tool to Develop Methods for Novel Psychoactive Substances

22 Jan 2026

Novel psychoactive substances (NPS) have created a challenge for toxicology laboratories. New NPS are constantly disappearing as fast as they emerge, making it difficult to stay on top of which compounds are necessary to add to laboratory testing scopes.

The development and optimization of liquid chromatography (LC) separations is time-consuming and costly, often requiring several steps, including literature research, column selection, method scouting, method development, and method optimization. To alleviate the burden of sacrificing instrument-uptime, labor, and materials, an instrument-free software modeling tool was developed to include a comprehensive drugs of abuse (DoA) library.

Methods for NPS compounds were successfully developed in under ten minutes per method using this online chromatogram modeling tool. To verify the ability of the modeler to develop methods for NPS, three methods were developed and optimized using the chromatogram modeler for the following NPS subclasses: 1) synthetic opioids and toxic adulterants, 2) designer benzodiazepines, and 3) stimulants and synthetic cannabinoids. All methods utilized a Raptor Biphenyl 100 x 2.1, 2.7 μm column with a MPA of water and MPB of methanol, both acidified with 0.1% formic acid. The flow rate was 0.6 mL/min, and the column temperature was 40°C. The developed methods were transferred to an LC-MS/MS system and the experimental results were compared with the modeler.

The acceptance criteria for retention time agreement between experimental and modeled values was set at +/-15 seconds, chosen to represent a typical MRM window. All analytes in all three methods fell within this window, as well as maintaining elution order and resolution.

This online chromatogram modeling tool helps users obtain optimized separations while maintaining critical pair resolution by adjusting parameters, such as column dimension, mobile phase, gradient programs, and more, for almost 300 compounds, including the 38 newly added NPS drugs.

Authors

  • Haley Berkland, MS

    Haley is an LC applications scientist at Restek. She attended Duquesne University, receiving her bachelor's degree in biochemistry and a master's degree in forensic science and law. As a graduate student, she performed research on the detection of drugs of abuse in vitreous humor by LC-MS/MS. Before joining Restek in 2023, Haley spent four years working as a forensic toxicologist. While in this role, she performed analysis of postmortem toxicology casework, identification of seized drug evidence, and development/validation of new assays by LC-MS/MS, GC-MS, and GC-FID.

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  • Melinda Ulrich

    Melinda “Mel” Urich is an applications scientist in the LC Solutions department. Her primary focus is on the development of novel applications in the cannabis and food markets. In her previous role at Restek as an LC manufacturing chemist, she led the synthesis of silica, bonding of stationary phases as well as new process implementations and improvements. Mel attended Juniata College where she earned her BS in Chemistry and performed research in Atomic Force Microscopy AFM).

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  • Justin Steimling
  • Jamie York is a principal scientist in the Applications Lab at Restek Corporation. She leads the development of innovative analytical methods tailored to the food, clinical, environmental, and cannabis markets. Jamie earned her PhD in chemistry from The University of Texas at Arlington, where she gained extensive expertise in a range of analytical techniques, including gas chromatography–vacuum ultraviolet (GC–VUV); gas chromatography–mass spectrometry (GC–MS); matrix-assisted laser desorption/ionization (MALDI); and liquid chromatography– mass spectrometry (LC–MS/MS); with a research emphasis on food and environmental analysis. Today, her work focuses on complex method development and advanced sample preparation strategies to support the evolving needs of the scientific community.  

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