LC/MS, LC/MS/MS, LC/TOF, LC/HRMS
IndustriesForensics
ManufacturerWaters
Significance of the topic
Mass spectrometry-based urine drug screening underpins clinical and forensic toxicology, treatment compliance monitoring, and harm-reduction services. Traditional workflows that combine immunoassay screening and targeted LC-MS/MS confirmation provide high sensitivity for limited analyte panels but lack the breadth required to detect emerging illicit compounds and unexpected co-administered medications. High-resolution time-of-flight (Tof) mass spectrometry, operated with complementary acquisition strategies, offers the potential to combine targeted sensitivity with non-targeted discovery capability on a single platform, improving laboratory responsiveness to novel psychoactive substances and complex biological matrices.Study objectives and overview
This work compared two Tof acquisition strategies—targeted Tof-MRM (data-dependent) and non-targeted Tof-MSE (data-independent)—to evaluate their relative analytical sensitivity, identification confidence, and practical utility for broad urinary drug screening. The study used fortified calibration samples and authentic anonymized urines to: validate limits of detection (LOD) across a panel of twenty target drugs, assess qualitative concordance between modes, and demonstrate the non-targeted method's capacity to detect additional substances outside a predefined panel.Methodology
- Sample preparation: A commercial system suitability standard was diluted to 25 ng/mL. Calibration series were prepared in pooled blank urine spiked with twenty target analytes across 0.01–2500 ng/mL. Authentic cohort included twenty anonymized urine samples plus a commercial reference urine. Prior to analysis, all urine samples were diluted five-fold with 5 mM ammonium formate (pH 3).
- Chromatography: Both acquisition modes used a reversed-phase ACQUITY HSS C18 column with a 15-minute gradient. Mobile phases were 5 mM ammonium formate (pH 3) and acetonitrile with 0.1% formic acid. Electrospray ionization in positive mode (ESI+) was employed.
- Acquisition strategies:
- Tof-MRM (targeted, data-dependent): Quadrupole-selected precursor isolation followed by high-resolution TOF MS detection of optimized fragment ions (quantifier and qualifier). Collision energies and cone voltages were optimized per analyte to maximize sensitivity.
- Tof-MSE (non-targeted, data-independent): Quadrupole operated in non-selective transmission while the collision cell alternated between low energy (precursor accurate mass) and a ramped elevated energy (10–40 eV) to produce fragment ion spectra across the mass range, enabling retrospective and discovery analyses.
- Data processing: Targeted processing used MS Quan within the waters_connect platform with minimum peak area thresholds and ±0.3 min retention time windows. Non-targeted processing used the UNIFI application with compound identification supported by the Waters Toxicology Library (>2,100 compounds). Identification criteria included retention time agreement (±0.3 min) and exact mass matching of precursor and at least one fragment ion within ±2 ppm (Tof-MSE precursor tolerance).
Instrumentation
- Waters ACQUITY UPLC I-Class FTN PLUS system for chromatographic separations.
- Waters Xevo MRT MS (hybrid quadrupole multi-reflecting time-of-flight mass spectrometer) for high-resolution mass analysis.
- Software and informatics: waters_connect platform, MS Quan application for targeted data, UNIFI application for non-targeted processing, and the Waters Toxicology Library for spectral matching.
Key results and discussion
- Sensitivity: The targeted Tof-MRM workflow provided superior sensitivity, with LODs typically in the 0.05–0.5 ng/mL range for monitored analytes (examples: ketamine detected at 0.05 ng/mL; many opioids and stimulants within 0.05–0.5 ng/mL). The non-targeted Tof-MSE approach yielded LODs generally between 0.5 and 5 ng/mL.
- Analytical confidence: Both methods leveraged accurate mass precursor and fragment information plus retention time criteria to ensure reliable identifications. Tof-MSE benefitted from mass accuracy tolerances (≤2 ppm) for precursor ions, strengthening non-targeted identification despite lower sensitivity than Tof-MRM.
- Qualitative concordance: When applied to the anonymized urine cohort, both acquisition modes showed excellent qualitative agreement for the target panel. Tof-MSE additionally identified numerous compounds outside the targeted list—commonly encountered medications, benzodiazepines, antidepressants, and other illicit substances—demonstrating its value for comprehensive screening and discovery analyses.
- Practical examples: Chromatograms for low-level carfentanil (0.05 ng/mL) acquired in Tof-MRM illustrated robust quantifier and qualifier transitions with reliable calibration behavior in fortified urine. For the commercial reference urine, Tof-MSE detected a range of compounds present from sub-ng/mL (e.g., fentanyl ~0.75 ng/mL) to hundreds of ng/mL (e.g., codeine, dihydrocodeine ~225 ng/mL).
Benefits and practical applications
- Combined strategy: Operating Tof-MRM and Tof-MSE on the same platform allows laboratories to retain targeted, high-sensitivity quantitation while also acquiring comprehensive datasets that support retrospective mining and identification of unexpected or novel compounds.
- Broad applicability: The workflows are applicable to forensic and clinical toxicology, workplace drug testing, treatment compliance programs, and research settings where both sensitivity and discovery capability are required.
- Operational efficiency: A single-instrument approach simplifies laboratory infrastructure, reduces method proliferation, and enables routine parts-per-billion mass accuracy for confident identifications.
Future trends and applications
- Expanded libraries and AI-assisted annotation: Growth of curated spectral libraries and machine-learning tools will accelerate confident annotation of unknowns and reduce manual review times in non-targeted datasets.
- Hybrid acquisition optimizations: Further development of hybrid acquisition schemes that dynamically switch between high-sensitivity targeted events and broad data-independent scans could improve LODs for discovery modes while preserving comprehensive coverage.
- Regulatory and clinical translation: Standardization of identification criteria, quantitative performance metrics, and inter-laboratory validation will be necessary to support routine clinical deployment of high-resolution non-targeted workflows.
- Integration with informatics: Enhanced informatics pipelines enabling automated flagging, longitudinal surveillance for emerging substances, and integration with laboratory information management systems will increase throughput and public-health responsiveness.
Conclusions
Both Tof-MRM (targeted, data-dependent) and Tof-MSE (data-independent) acquisition strategies delivered robust and complementary performance for urinary drug screening using the Xevo MRT MS and ACQUITY UPLC platform. Tof-MRM provided lower LODs and is preferable when maximum analytical sensitivity and quantitative performance are required for a defined analyte panel. Tof-MSE supplied a richer information content that enabled reliable identification of additional compounds outside the targeted panel, supporting retrospective discovery and broader toxicological characterization. Deploying both approaches together on a single high-resolution platform provides an effective, flexible framework for modern toxicology laboratories seeking to balance sensitivity, breadth, and future-proofing against novel psychoactive substances.References
- N. S. Mistry, L. J. Calton, J. Cooper. The Utility of MSE for Toxicology Screening with waters_connect and the Xevo G3 QTof Mass Spectrometer. Waters Application Note, 720008045, Sept 2023.
- N. S. Mistry, L. J. Calton, J. Cooper. The Ultimate Forensic Toxicology Screening Companion—Xevo G3 QTof. Waters Application Note, 720008033, Sept 2023.
- N. S. Mistry, G. Hammond, R. Lieberman, V. Starkie. Forensic Toxicology Data-Independent Analysis Screening Using Xevo MRT Mass Spectrometer Delivering Routine Parts-per-Billion (ppb) Mass Accuracy. Waters Application Note, 720009219, Feb 2026.
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