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Optimization of the Quantum-Si Platinum Single-Molecule Protein Sequencing Platform Toward Improved Complex-Matrix
Tomasz A Leski1, Sean M Brown2, Zachary T Johnson1
1Center for Biomolecular Science and Engineering, US Naval Research Laboratory, Washington 20375, D.C., United States.
ACS Omega
|June 22, 2026
Summary
Researchers optimized the Quantum-Si Platinum Sequencer for rapid protein sequencing, reducing sample prep time to 10 hours. This advance enables faster analysis of complex protein mixtures and improves diagnostic technologies.
Area of Science:
- Proteomics
- Biotechnology
- Molecular Biology
Background:
- Protein sequencing is crucial for understanding biological processes and diseases.
- Next-generation protein sequencing (NGPS) offers enhanced sensitivity and precision.
- The Quantum-Si (QSi) Platinum Sequencer provides single-molecule, single-amino acid resolution.
Purpose of the Study:
- To optimize the QSi Platinum Sequencer library preparation protocol for faster sample-to-answer turnaround.
- To evaluate the performance of the optimized protocol on diverse protein samples and complex mixtures.
- To demonstrate the potential of NGPS for rapid protein characterization in complex biological systems.
Main Methods:
- Optimization of the QSi protein library preparation protocol, reducing preparation time from 32 to 10 hours.
- Application of the modified protocol to analyze single-domain antibodies and a staphylococcal enterotoxin B derivative.
- Determination of the library dilution threshold for optimal sequencing.
- Sequencing of proteins within a crude bacterial cell lysate.
Main Results:
- Sample preparation time reduced to 10 hours, enabling a sample-to-answer timeline under 24 hours.
- Successful sequencing of diverse proteins, including antibodies and enterotoxin derivatives.
- Identified a library dilution threshold of 100× for effective sequencing.
- Demonstrated successful protein sequencing in complex bacterial cell lysates.
Conclusions:
- The optimized QSi protocol significantly accelerates protein sequencing workflows.
- The technology shows promise for rapid characterization of proteins in complex biological samples.
- Further improvements in sequencing chemistry and data processing may reduce reliance on reference sequences for unknown protein identification.
- This advancement has the potential to significantly enhance protein-based diagnostic technologies.

