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MALDI-TOF Mass Spectrometry01:19

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An Inexpensive, simple calibration method for MALDI TOF/TOF systems.

Matthew B O'Rourke1,2, Matthew P Padula2

  • 1Northern Clinical School, Bowel Cancer and Biomarker Lab, Faculty of Medicine and Health, The University of Sydney Lvl 8, Kolling Institute, Royal North Shore Hospital, Sydney, NSW, 2065, Australia.

Journal of Mass Spectrometry : JMS
|November 8, 2019
PubMed
Summary

Researchers developed a cost-effective peptide calibrant alternative for Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry (MADLI MS). This new method achieves 78 ppm mass accuracy, offering a viable, budget-friendly option for essential calibration mixtures.

Keywords:
MALDIcalibrationlow costmass spectrometryremote communities

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Area of Science:

  • Analytical Chemistry
  • Mass Spectrometry
  • Biochemistry

Background:

  • Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry (MADLI MS) enables the measurement of a wide array of analytes.
  • The extensive range of measurable analytes necessitates a vast number of calibration mixtures.
  • Commercial calibration mixtures are often prohibitively expensive, limiting accessibility.

Purpose of the Study:

  • To develop a low-cost alternative to commonly used peptide calibrants for MADLI MS.
  • To assess the performance of the developed calibrant in terms of mass accuracy.
  • To establish a viable and affordable option for MADLI MS calibration.

Main Methods:

  • Synthesis of a novel, low-cost peptide calibrant mixture.
  • Analysis of the calibrant using MADLI MS.
  • Evaluation of mass accuracy across a specified mass range.

Main Results:

  • Achieved an overall mass accuracy of 78 ppm.
  • Demonstrated comparable mass accuracy to commercial peptide mixes.
  • Successful calibration across a mass range of 900 to 2500 Da.

Conclusions:

  • The developed low-cost peptide calibrant is a viable alternative to expensive commercial options.
  • This provides a cost-effective solution for routine MADLI MS calibration.
  • Enables broader application of MADLI MS by reducing calibration costs.