Automated identification of unknown doping agents in confiscation samples by flow-injection mass spectrometry and mass spectral library searches.
Fuyu GuanSavannah FayMatthew A AdreanceLeif McGoldrickRachel M ProctorJaclyn R MissanelliYouwen YouMary A RobinsonPublished in: Drug testing and analysis (2023)
Rapid and accurate identification of unknown compounds within suspicious samples confiscated for sports doping control and law enforcement drug testing is critical, but such analyses are often conducted manually and can be time consuming. Here, we report a methodology for automated identification of unknown substances in confiscation samples by rapid automatic flow-injection analysis on a liquid chromatography coupled to high resolution mass spectrometry (LC-HRMS) system and identifying unknown compounds with Compound Discoverer software. The developed methodology was validated by comparing the automated identification results with those obtained from manual syringe-infusion experiments and manual tandem mass spectral library searches. The automated methodology resulted in far higher throughput and remarkably shorter turnaround time for analysis when compared to manual procedures and in most cases yielded more compounds. As this is the first such report to the authors' knowledge, this methodology may potentially transform analysis of confiscated samples in sports doping control and law enforcement drug testing.
Keyphrases
- liquid chromatography
- high resolution mass spectrometry
- mass spectrometry
- deep learning
- machine learning
- high throughput
- tandem mass spectrometry
- ultra high performance liquid chromatography
- gas chromatography
- low dose
- high resolution
- optical coherence tomography
- healthcare
- solid phase extraction
- ultrasound guided
- capillary electrophoresis
- magnetic resonance imaging
- magnetic resonance
- data analysis
- computed tomography
- sensitive detection
- drug induced
- neural network
- loop mediated isothermal amplification