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Updated: Jun 12, 2026

Fast Enzymatic Processing of Proteins for MS Detection with a Flow-through Microreactor
Published on: April 6, 2016
Rapid microscale in-gel processing and digestion of proteins using surface acoustic waves
Ketav P Kulkarni1, Sri H Ramarathinam, James Friend
1School of Chemistry, Monash University, PO Box 23, Melbourne, 3800, Australia.
Surface acoustic waves (SAWs) accelerate in-gel protein processing and digestion to just 30 minutes. This rapid method achieves comparable results to traditional overnight techniques, advancing proteomics sample preparation.
Area of Science:
- Proteomics
- Analytical Chemistry
- Biochemistry
Background:
- Traditional in-gel proteomics sample processing is time-consuming, often requiring overnight incubation for tryptic digestion.
- Existing methods can be labor-intensive and may limit sample throughput in research and clinical settings.
Purpose of the Study:
- To develop and evaluate a novel, rapid method for in-gel sample processing and protein digestion.
- To significantly reduce the workflow time for proteomics sample preparation while maintaining high-quality results.
Main Methods:
- Utilized surface acoustic waves (SAWs) to accelerate key steps of in-gel sample processing, including rehydration, in situ digestion, and peptide extraction.
- Compared the efficiency and effectiveness of the SAW-based method against traditional overnight digestion protocols.
Main Results:
- Achieved a total workflow time of only 30 minutes for sample processing and digestion using SAWs.
- Generated base peak chromatograms (BPCs) with similar coverage and intensity to traditional overnight methods.
- Demonstrated simple setup, good reproducibility, excellent peptide recovery, and high-confidence protein identifications.
Conclusions:
- Surface acoustic wave technology offers a dramatic acceleration of in-gel proteomics sample preparation.
- This rapid, reproducible, and efficient method represents a significant advancement for next-generation proteomics workflows.
- The technology facilitates high-throughput sample analysis and protein identification.
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