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Characterization of a high field Orbitrap mass spectrometer for proteome analysis
Fiona Pachl1, Benjamin Ruprecht, Simone Lemeer
1Chair for Proteomics and Bioanalytics, Center of Life and Food Sciences Weihenstephan, Technische Universität München, Freising, Germany.
Proteomics
|July 10, 2013
Summary
The new Orbitrap Elite mass spectrometer enhances proteomics by offering high resolution and accuracy for improved protein identification. This advanced tool identifies hundreds of proteins from minimal samples, outperforming previous models.
Area of Science:
- Proteomics
- Analytical Chemistry
- Mass Spectrometry
Background:
- Proteomics research relies on advancements in analytical technology.
- Key areas include peptide separation, quantitative mass spectrometry (MS), and bioinformatics.
- New instrumentation is crucial for driving progress in the field.
Purpose of the Study:
- To characterize the hybrid linear ion trap high field Orbitrap mass spectrometer (Orbitrap Elite) for proteomic applications.
- To evaluate its performance in peptide mass accuracy and protein identification.
- To compare its capabilities against its predecessor, the Orbitrap Velos.
Main Methods:
- Utilized the Orbitrap Elite mass spectrometer for proteomic analysis.
- Measured peptide masses with high resolution and sub-ppm accuracy.
- Employed collision-induced dissociation (CID) rapid scan for fragmentation and protein identification.
Main Results:
- Achieved sub-ppm mass accuracy for 95% of measured peptide masses, enhancing protein identification.
- Demonstrated successful identification of hundreds of proteins from as little as 0.1 ng of protein digest.
- The Orbitrap Elite significantly outperformed the Orbitrap Velos across assessed metrics.
Conclusions:
- The Orbitrap Elite is a valuable and versatile tool for mass spectrometry-based proteomics.
- High mass accuracy in tandem mass spectra is confirmed as critical for successful protein identification.
- The instrument's capabilities enable high-throughput protein identification with minimal sample input.
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