A Simple and Flexible Infusion Platform for Automated Native Mass Spectrometry Analysis
Stephanie M Thibert1, Carter C Bracken1, Daniel J Orton2
1Environmental and Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.
Summary
Researchers developed a low-cost infusion cart for native mass spectrometry, using a versatile isocratic pump for various flow rates. This affordable platform supports infusion and buffer exchange, benefiting labs with budget constraints.
Area of Science:
- Biochemistry and Biophysics
- Analytical Chemistry
- Mass Spectrometry
Background:
- High-throughput native mass spectrometry (MS) of proteins and protein complexes relies on advanced infusion and liquid chromatography (LC) systems.
- Existing LC systems often possess underutilized gradient flow capabilities, presenting an opportunity for cost-effective adaptation.
Purpose of the Study:
- To demonstrate a lower-cost infusion cart for native mass spectrometry applications.
- To provide a versatile platform for both infusion and online buffer exchange experiments.
- To offer an affordable alternative for laboratories with limited budgets or for student training.
Main Methods:
- Development of an infusion cart utilizing a single isocratic solvent pump.
- The pump operates in both nano- and high-flow configurations, covering a range of 0.05-150 μL/min.
- The platform is controlled using open-source software, allowing for potential expansion and customization.
Main Results:
- Successful demonstration of a functional and cost-effective infusion cart for native MS.
- The system effectively supports both direct infusion and online buffer exchange experiments.
- The platform's flexibility in flow rates (0.05-150 μL/min) accommodates diverse experimental needs.
Conclusions:
- The developed infusion cart offers a significantly lower-cost alternative for native mass spectrometry.
- The platform's adaptability and open-source control enhance its utility for various laboratory settings.
- This innovation makes advanced native MS techniques more accessible to budget-conscious research groups and educational institutions.
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