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Published on: November 15, 2017
Evaluation of a Prototype Orbitrap Astral Zoom Mass Spectrometer for Quantitative Proteomics─Beyond Identification
Chris Hsu1, Nicholas Shulman1, Hamish I Stewart2
1Department of Genome Sciences, University of Washington, 3720 15th Street NE, Seattle, Washington 98195, United States.
A new Orbitrap Astral Zoom mass spectrometer (MS) prototype shows improved performance over the standard model. This enhanced MS platform offers better protein identifications and quantitative precision for proteomics research.
Area of Science:
- Proteomics
- Analytical Chemistry
- Mass Spectrometry
Background:
- Quantifying advances in mass spectrometry (MS) instrumentation beyond standard peptide and protein detection is challenging.
- Evaluating new MS platforms requires robust performance metrics for cross-platform comparisons.
Purpose of the Study:
- To evaluate a modified Orbitrap Astral Zoom mass spectrometer (MS) prototype.
- To compare its performance against the standard Orbitrap Astral MS.
- To establish a generalizable framework for evaluating MS performance based on ion detection.
Main Methods:
- Implemented an ion calibration framework to convert signal intensity to ions per second.
- Compared precursor and protein identifications, ion beam utilization, and quantitative precision between the prototype and standard MS.
- Introduced new metrics in Skyline for reporting ion counts in spectra.
Main Results:
- The Orbitrap Astral Zoom prototype outperformed the standard Orbitrap Astral MS in precursor and protein identifications, ion beam utilization, and quantitative precision.
- The prototype sampled 23.1% more ions per peptide than the standard MS.
- Increased ion beam utilization led to improved sensitivity and quantitative precision.
Conclusions:
- The Orbitrap Astral Zoom prototype is a high-performance platform for data-independent acquisition proteomics.
- A novel framework for MS performance evaluation based on ion detection was established.
- The findings provide a generalizable method for assessing MS performance.
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