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Updated: Jul 17, 2026

09:49
Fast Enzymatic Processing of Proteins for MS Detection with a Flow-through Microreactor
Published on: April 6, 2016
CE-microreactor-CE-MS/MS for protein analysis
Regine M Schoenherr1, Mingliang Ye, Michael Vannatta
1Department of Chemistry, University of Washington, Seattle, Washington 98195, USA.
Analytical Chemistry
|February 14, 2007
Summary
This study introduces an automated method for protein analysis using capillary electrophoresis and mass spectrometry. This novel technique efficiently separates and identifies proteins and peptides, advancing bottom-up proteomics.
Area of Science:
- Proteomics
- Analytical Chemistry
- Biochemistry
Background:
- Bottom-up proteomics is crucial for protein identification and characterization.
- Current methods often require manual steps, limiting throughput and reproducibility.
- Automated workflows are needed to streamline protein analysis.
Purpose of the Study:
- To demonstrate a fully automated bottom-up approach for protein characterization.
- To develop a novel two-dimensional separation and digestion system.
- To assess the efficiency and accuracy of the automated system.
Main Methods:
- Proteins were initially separated using capillary electrophoresis (CE).
- On-capillary pepsin digestion was performed using a microreactor.
- Peptides were subsequently separated by a second CE dimension and analyzed by mass spectrometry (MS/MS).
Main Results:
- The system achieved a spot capacity of 590 for two-dimensional separation.
- Automated analysis of a cytochrome c and myoglobin mixture yielded high Mascot MOWSE scores (107 and 58, respectively).
- Sequence coverages of 48% for cytochrome c and 22% for myoglobin were obtained.
Conclusions:
- This proof-of-principle demonstrates a fully automated bottom-up protein characterization workflow.
- The integrated CE-digestion-CE-MS/MS system offers efficient and characteristic separation of proteins and peptides.
- This automated approach has significant potential for high-throughput proteomics research.

