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Updated: Jun 25, 2025

Quantification of Proteins Using Peptide Immunoaffinity Enrichment Coupled with Mass Spectrometry
Published on: July 31, 2011
Gábor Transform-Based Signal Isolation, Rapid Deconvolution, and Quantitation of Intact Protein Ions with Mass
Kayd L Meldrum1, Andrew K Swansiger1, Meghan M Daniels1
1Department of Chemistry and Biochemistry, University of Oregon, Eugene, Oregon 97403-1253, United States.
New software, interactive Fourier-transform analysis for mass spectrometry (iFAMS), enhances protein quantitation using Gábor transform (GT). It improves deconvolution objectivity and reproducibility for complex biological mixtures in high-resolution mass spectrometry.
Area of Science:
- Analytical Chemistry
- Biotechnology
- Mass Spectrometry
Background:
- High-resolution mass spectrometry (HRMS) is crucial for analyzing complex biological samples.
- Current HRMS applications in medicine and pharmaceuticals demand advanced data processing.
- Existing methods face limitations in handling complex or congested mass spectra.
Purpose of the Study:
- To introduce novel developments in the interactive Fourier-transform analysis for mass spectrometry (iFAMS) software.
- To present the first application of Gábor transform (GT) for protein quantitation in HRMS.
- To enhance the objectivity, reproducibility, and accuracy of mass spectral data deconvolution.
Main Methods:
- Implementation of automated signal detection, selection, and baseline correction in iFAMS.
- Application of Gábor transform (GT) for protein quantitation and deconvolution refinement.
- Development of specialized tools: Gábor Slicer and charge adjuster for spectral analysis.
- Comparative analysis of iFAMS deconvolution against UniDec and MaxEnt algorithms.
- Demonstration of batch processing and quantitation capabilities in iFAMS.
Main Results:
- iFAMS demonstrates improved objectivity and reproducibility in signal deconvolution through automation.
- The Gábor transform enables accurate ion mass estimation and protein quantitation.
- New tools facilitate deconvolution of complex spectra and accurate charge state assignment.
- iFAMS performance in deconvolution and quantitation is validated through comparisons with established algorithms.
- Batch processing in iFAMS shows comparable results to extracted ion chromatogram approaches.
Conclusions:
- The enhanced iFAMS software, incorporating Gábor transform, significantly advances HRMS data processing.
- iFAMS provides a more objective, reproducible, and accurate method for protein quantitation and spectral deconvolution.
- These advancements support the expanding analytical demands in clinical monitoring and pharmaceutical research.
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