Analysis of Steroids and NSAIDs Using the Shimadzu LCMS-8050 Triple Quadrupole Mass Spectrometer

Applications | 2015 | ShimadzuInstrumentation
LC/MS, LC/MS/MS, LC/QQQ
Industries
Forensics
Manufacturer
Shimadzu

Summary

Importance of the Topic


Analysis of performance enhancing drugs and NSAIDs is critical for fair sports competition and athlete health.
Mass spectrometry coupled with liquid chromatography offers sensitive and specific detection required in doping control labs and pharmaceutical analysis.

Objectives and Study Overview


This study demonstrates a robust multiple reaction monitoring (MRM) method using the Shimadzu LCMS-8050 to identify and quantify fourteen steroidal and non-steroidal anti-inflammatory compounds with high sensitivity and selectivity.

Methodology and Instrumentation Used


  • Chromatographic separation on Shim-pack XR-ODS II (2.0 × 75 mm, 2.2 µm) with a gradient from 1% to 100% acetonitrile in 16 minutes.
  • Flow rate 0.2 mL/min; injection volume 2 µL; column temperature 40 °C.
  • ESI ionization in positive and negative modes on Shimadzu LCMS-8050 triple quadrupole mass spectrometer.
  • MRM transitions selected automatically in LabSolutions Ver 5.65 with customizable ion ratio thresholds.
  • Quantitation limits of 10–100 pg/mL (20–200 fg on column) using matrix matched calibration over three orders of magnitude.

Key Results and Discussion


  • Well resolved chromatograms for all fourteen analytes at 50 ng/mL standards.
  • Limits of quantitation from 10 to 100 pg/mL with linear calibration curves (r2 >0.99) across three decades.
  • Automatic reference ion definition streamlined accurate peak identification.
  • Selective detection near LOQs validated by clear qualifier ion ratio evaluation.

Benefits and Practical Applications


  • Improved accuracy and fairness in doping control through rigorous ion ratio checks.
  • High throughput quantification suitable for routine monitoring of steroids and NSAIDs.
  • Automated qualifier selection reduces manual setup time and potential errors.

Future Trends and Applications


  • Extension of MRM libraries for broader compound coverage in anti-doping and pharmaceutical testing.
  • Integration with advanced data processing and machine learning for automated result interpretation.
  • Development of portable LC-MS systems for on-site rapid screening.

Conclusion


This method provides a sensitive, accurate, and streamlined workflow for simultaneous analysis of steroid and NSAID residues. Use of multiple reference ions and automated settings in LabSolutions enhances identification confidence, making it well suited for stringent doping control and quality assurance environments.

References


Application News No. C98, Shimadzu Corporation, First Edition January 2015.

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