High resolution and rapid separation of bacteria from blood using elasto-inertial microfluidics
Sharath Narayana Iyengar1,2, Tharagan Kumar1,2, Gustaf Mårtensson1
1KTH Royal Institute of Technology, Division of Nanobiotechnology, Department of Protein Science, Science for Life Laboratory, Solna, Sweden.
Electrophoresis
|September 12, 2021
Summary
This study presents a rapid, label-free method for separating bacteria from diluted blood using elasto-inertial focusing in viscoelastic flow. This technique achieves high efficiency, paving the way for faster sepsis diagnostics.
Area of Science:
- Biomedical Engineering
- Microfluidics
- Separation Science
Background:
- Sepsis diagnosis requires rapid and efficient sample preparation for timely treatment.
- Current methods for bacteria isolation from blood can be time-consuming, delaying critical patient care.
Purpose of the Study:
- To develop and demonstrate a rapid, label-free method for bacteria separation from diluted blood using microfluidic devices.
- To investigate the elasto-inertial focusing behavior of blood cells and bacteria in viscoelastic flow for efficient separation.
Main Methods:
- Utilized elasto-inertial microfluidics in a spiral channel to separate microparticles and bacteria from blood.
- Investigated particle focusing and migration in viscoelastic fluids based on size differences.
- Optimized blood dilution and flow rates for efficient separation of *Escherichia coli* from diluted blood.
Main Results:
- Demonstrated size-dependent particle separation with 1 μm resolution at a throughput of 1 mL/min.
- Achieved continuous separation of *Escherichia coli* from diluted blood with 82-90% efficiency.
- Processed 1 mL of blood in 40 minutes with 82% separation efficiency using a single spiral device.
Conclusions:
- Elasto-inertial focusing offers a promising approach for rapid, label-free bacteria isolation from blood.
- This method significantly reduces sample preparation time, potentially accelerating sepsis test turnaround.
- The developed technique has broad applicability for speeding up downstream diagnostic analyses in clinical microbiology.
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