Rapid LC/TOF MS for Analytical Screening of Drugs in the Clinical Research Lab
Applications | 2018 | Agilent TechnologiesInstrumentation
Drug screening in clinical research relies heavily on immunoassays but suffers from limited specificity and high rates of false positives, leading to costly confirmatory testing and workflow bottlenecks. A rapid LC/TOF MS approach offers broad analyte coverage, improved accuracy, and integration of creatinine quantitation for sample validity assessment.
This study aimed to develop and validate a fast LC/TOF MS method for presumptive screening of 84 drugs and metabolites in urine, replacing conventional immunoassays and MS/MS confirmation. The goals included evaluating analytical sensitivity and specificity, reducing false positives, and incorporating creatinine measurement within a single workflow.
Three parallel 96-well plate preparations were used:
Chromatography employed a rapid gradient from 2% to 95% organic over 1.25 minutes at 75°C, with 0.5 minute reequilibration. Dual electrospray ionization captured positive and negative ions over m/z 100–1,000 at 4 spectra per second. Single-point calibration at target concentrations and isotope-labeled internal standards enabled qualitative screening and semi-quantitative confirmation.
The LC/TOF MS method eliminated all false positives in 420 clinical specimens and detected 44 additional true positives missed by immunoassays, including benzodiazepines, opiates, and ethanol markers. Immunoassays generated multiple false positives in every drug class tested, whereas LC/TOF MS achieved zero false positives and minimal false negatives. Creatinine calibration from 20 to 400 mg/dL yielded R2 ≥0.999, intra- and inter-assay CVs below 3%, and strong agreement with a Jaffe reference method (correlation coefficient 0.96). Carryover was <0.1%.
Future developments may involve expanding the analyte library to emerging drugs, integrating automated sample preparation and data processing, and adapting LC/TOF MS screening for point-of-care or decentralized testing in clinical, forensic, and occupational health settings.
The rapid LC/TOF MS protocol offers a sensitive, specific, and efficient alternative to immunoassay-based drug screening, with the added benefit of creatinine quantitation. Adoption of this method can improve data quality, reduce downstream costs, and enhance laboratory throughput in clinical research environments.
LC/TOF, LC/HRMS, LC/MS, LC/MS/MS
IndustriesClinical Research
ManufacturerAgilent Technologies
Summary
Importance of the Topic
Drug screening in clinical research relies heavily on immunoassays but suffers from limited specificity and high rates of false positives, leading to costly confirmatory testing and workflow bottlenecks. A rapid LC/TOF MS approach offers broad analyte coverage, improved accuracy, and integration of creatinine quantitation for sample validity assessment.
Objectives and Study Overview
This study aimed to develop and validate a fast LC/TOF MS method for presumptive screening of 84 drugs and metabolites in urine, replacing conventional immunoassays and MS/MS confirmation. The goals included evaluating analytical sensitivity and specificity, reducing false positives, and incorporating creatinine measurement within a single workflow.
Instrumentation Used
- Agilent 1290 Infinity II LC system (high-speed pump, multisampler, multicolumn thermostat)
- Agilent InfinityLab Poroshell 120 SB-C8 column (2.1×50 mm, 2.7 µm)
- Agilent 6550 iFunnel Q-TOF LC/MS operated in TOF mode
- Agilent 1260 isocratic pump with dual reference masses for mass accuracy
Methodology and Sample Preparation
Three parallel 96-well plate preparations were used:
- Positive-mode target compounds: 10× dilution, enzymatic hydrolysis with β-glucuronidase, dilution in 5 mM ammonium formate/ammonia formate buffer and acetonitrile.
- Negative-mode targets: 10 µL urine mixed with acetic acid/water/methanol and appropriate internal standards.
- Creatinine quantitation: 50× dilution with buffer and isotope-labeled internal standard.
Chromatography employed a rapid gradient from 2% to 95% organic over 1.25 minutes at 75°C, with 0.5 minute reequilibration. Dual electrospray ionization captured positive and negative ions over m/z 100–1,000 at 4 spectra per second. Single-point calibration at target concentrations and isotope-labeled internal standards enabled qualitative screening and semi-quantitative confirmation.
Main Results and Discussion
The LC/TOF MS method eliminated all false positives in 420 clinical specimens and detected 44 additional true positives missed by immunoassays, including benzodiazepines, opiates, and ethanol markers. Immunoassays generated multiple false positives in every drug class tested, whereas LC/TOF MS achieved zero false positives and minimal false negatives. Creatinine calibration from 20 to 400 mg/dL yielded R2 ≥0.999, intra- and inter-assay CVs below 3%, and strong agreement with a Jaffe reference method (correlation coefficient 0.96). Carryover was <0.1%.
Benefits and Practical Applications
- High specificity reduces reliance on costly confirmatory testing.
- Broad panel covers 84 drugs, metabolites, and specimen validity markers.
- Integrated creatinine measurement ensures sample integrity in the same run.
- Cost-effective compared with immunoassay kits and MS/MS workflows.
- High-throughput 96-well plate format streamlines large sample volumes.
Future Trends and Applications
Future developments may involve expanding the analyte library to emerging drugs, integrating automated sample preparation and data processing, and adapting LC/TOF MS screening for point-of-care or decentralized testing in clinical, forensic, and occupational health settings.
Conclusion
The rapid LC/TOF MS protocol offers a sensitive, specific, and efficient alternative to immunoassay-based drug screening, with the added benefit of creatinine quantitation. Adoption of this method can improve data quality, reduce downstream costs, and enhance laboratory throughput in clinical research environments.
Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.
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