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Protein Analysis by Electrospray-Orbital Frequency Analyzer with Charge Detection Mass Spectrometry Algorithm.
Aleksandr Rusinov1, Li Ding1,2, Sergey Smirnov1
1Shimadzu Research Laboratory (Europe) Ltd., Manchester M17 1GP, U.K.
A new algorithm enhances charge detection mass spectrometry (CDMS) for analyzing large biomolecules using an orbital frequency analyzer (OFA). This method improves protein detection sensitivity and mass resolution in FTMS.
Area of Science:
- Analytical Chemistry
- Biophysics
- Mass Spectrometry
Background:
- Electrostatic ion trap mass analyzers, such as the orbital frequency analyzer (OFA), are crucial for Fourier Transform Mass Spectrometry (FTMS).
- OFA offers ultrahigh mass resolution and high ion charge capacity, essential for analyzing large biological particles.
- Charge detection mass spectrometry (CDMS) is employed for analyzing multiply charged proteins and other large biomolecules.
Purpose of the Study:
- To develop a data processing algorithm for analyzing the image charge signal of nonharmonic waveforms in OFA-based CDMS.
- To enable the detection of collisions, determination of ion lifetimes, and evaluation of charge and mass values for ions.
- To eliminate chemical noise and facilitate the measurement of protein content at very low concentrations.
Main Methods:
- A novel data processing algorithm was created to interpret the nonharmonic image charge signals from ions within an OFA.
- The algorithm detects ion-molecule collisions to determine ion lifetimes.
- Ions with lifetimes above a set threshold are used to evaluate charge and mass, filtering out noise.
Main Results:
- The algorithm successfully filters chemical noise from small molecules and protein fragments, enabling protein concentration measurements down to tens of nanomolars.
- Standard deviation of charge measurement ranges from 1.1 to 1.8 e for ions with oscillation lifetimes between 1 and 0.4 s.
- Lower OFA voltage settings lead to longer ion survival times and narrower mass peak widths, improving spectral resolution.
Conclusions:
- The developed algorithm significantly enhances the capability of OFA-based CDMS for analyzing large, multiply charged biomolecules.
- The method allows for precise determination of ion charge and mass, improving the detection limits for proteins.
- While OFA supports multiplexed CDMS, coexisting ions with similar m/z can interfere with charge determination, requiring careful data interpretation.
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