GC/MSD, GC/MS/MS, GC/HRMS, HeadSpace, Sample Preparation, GC/SQ, GC/Q-TOF, Ion Mobility, LC/TOF, LC/HRMS, LC/MS, LC/MS/MS, LC/QQQ, LC/SQ
IndustriesFood & Agriculture, Forensics , Pharma & Biopharma, Proteomics , Materials Testing, Clinical Research
ManufacturerAgilent Technologies
Significance of the Topic
High-resolution mass spectrometry (HRMS) enables rapid, broad-spectrum drug screening in complex biological matrices. Recent advances in data-independent acquisition (DIA) and streamlined sample preparation can transform routine forensic testing by improving confidence in compound identification while maximizing laboratory throughput.
Objectives and Overview
This study aimed to develop a fast, robust workflow for multiresidue drug screening in whole blood using an Agilent 6546 LC/Q-TOF with DIA and a novel software screening tool. Key goals were:
- Achieve sensitive, broad-scope detection of drugs (153 analytes).
- Simplify sample preparation with automated liquid handling and solid-phase extraction.
- Demonstrate confident identifications using strict criteria (mass accuracy, retention time, fragment co-elution).
- Streamline data review with the LC Screener software integrated into MassHunter Quantitative Analysis.
Methodology and Instrumentation
Sample Preparation:
- Whole blood spiked with 153 target drugs and 10 unknowns.
- Automated protein precipitation and cleanup using Captiva EMR-Lipid 96-well plates on a Bravo liquid handler.
- No concentration step—samples diluted post-elution.
Chromatography and MS Acquisition:
- 10-minute reversed-phase LC on an Agilent 1290 Infinity II UHPLC.
- Agilent 6546 LC/Q-TOF in positive DIA mode (m/z 40–1000, 8 spectra/sec).
- Collision energies of 20 eV and 40 eV to capture fragment ions.
- Reference mass correction for <5 ppm mass accuracy.
Main Results and Discussion
Sample Cleanup and Matrix Effects:
- Captiva EMR-Lipid cleanup reduced matrix interferences; 77% of analytes exhibited <10% ion suppression.
- Overall recoveries exceeded 70% for 91% of analytes.
Chromatography and Sensitivity:
- 153 drugs separated in 10 minutes with baseline resolution of key isobaric pairs (e.g., morphine vs. codeine).
- DIA at 8 Hz produced ≥12 data points per peak, ensuring robust quantitation and fragmentation spectra.
Data Processing with LC Screener:
- Custom Personal Compound Database and Library for 153 analytes generated.
- Identification criteria: mass accuracy (±5 ppm), retention time (±10%), signal-to-noise ≥3, ≥2 co-eluting fragments.
- Software auto-flags positives (green), needs review (orange), negatives (red). Review panels display chromatograms and spectra for rapid decision making.
- Simultaneous quantitation achieved for calibration standards (e.g., diphenhydramine R² ≥ 0.995, LLOQ = 1 ng/mL).
Benefits and Practical Applications
• Rapid, high-throughput screening of hundreds of drugs without method redevelopments.
• Automated sample prep reduces manual errors and increases reproducibility.
• High-resolution DIA ensures confident identification of unexpected or novel compounds.
• Integrated software tool expedites data review and reduces training burden.
Future Trends and Possibilities
• Expansion of the Personal Compound Database to include emerging designer drugs.
• Integration of retrospective data mining for historical sample re-analysis.
• Coupling DIA workflows with advanced chemometric or machine learning for forensic intelligence.
• Adaptation to other complex matrices (urine, oral fluid, tissues) with minimal method changes.
Conclusion
This work demonstrates a streamlined, high-confidence method for drug screening in whole blood using a 6546 LC/Q-TOF with DIA and automated cleanup. Fast chromatography, low matrix effects, and advanced software screening enable forensic laboratories to detect and confirm a broad panel of drugs in a single analysis with minimal manual intervention.
References
1. VanAernum et al. Rapid Online Buffer Exchange for Native MS. ChemRxiv (2019).
2. Agilent Application Note 5991-0685: Automated Metabolite Extraction.
3. Agilent MassHunter Quantitative Analysis User’s Guide.
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