Agilent MassHunter Optimizer Application Note for Peptides

This document introduces an automated MRM method optimizer for peptide protein quantitation. The MassHunter Optimizer software is used to optimize collision energies for 40 MRM transitions in LC/MS/MS analysis and compare them with collision energies from Q-TOF experiments. Optimized collision energies result in up to a two-fold increase in sensitivity and signal-to-noise ratio of MRM peaks. The MassHunter Optimizer software helps reduce the time and sample required for optimization by up to 200-fold.


Agilent MassHunter Optimizer Application Note for Peptides - cover page
Brand
Agilent
Category
Other
Document type
Application Note
Language
English
Pages
4
File format
PDF
File size
500 KB
Published
12 June, 2012
Updated
28 September, 2023
MD5 checksum
04C9FF54E2C3A448C5BE832B3C056194

About this manual

Multiple Reaction Monitoring (MRM) is a common technique for high-throughput protein quantitation, but optimizing data acquisition parameters for each transition individually is time-consuming. Agilent's MassHunter Optimizer software provides a solution by automatically optimizing collision energies on a triple-quadrupole instrument for MRM analysis.

In a study involving 40 MRM transitions from 10 Pyrococcus furiosus proteins, the software optimized collision energies in a single 45-minute LC/MS/MS analysis. This approach reduced the number of required sample injections by up to 200-fold compared to manual optimization. The optimized parameters resulted in up to a two-fold increase in sensitivity and signal-to-noise (S/N) ratio for the MRM peaks.

What's inside

  • Abstract
  • Introduction
  • Experimental Sample preparation
  • Selection of MRM transitions
  • LC and MS conditions
  • Results and Discussion
  • Conclusions

Frequently asked questions

How many MRM transitions can be optimized in a single analysis?

Up to 40 MRM transitions can be optimized in a single LC/MS/MS analysis.

How much does the software reduce the time and sample required for optimization?

The software helps reduce the time and amount of sample required for optimization by up to 200-fold.

What improvement in sensitivity is achieved with optimized collision energies?

Up to a two-fold increase in sensitivity and signal-to-noise (S/N) ratio of MRM peaks is achieved.

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