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Acoustofluidic Virus Isolation via Bessel Beam Excitation Separation Technology.

Jianping Xia1, Zeyu Wang1, Ryan Becker2

  • 1The Thomas Lord Department of Mechanical Engineering and Materials, Duke University, Durham, North Carolina 27708, United States.

ACS Nano
|August 12, 2024
PubMed
Summary

We developed Bessel beam excitation separation technology (BEST) for rapid, high-resolution virus isolation from biological samples. This acoustofluidic method enhances viral RNA yield and purity for diagnostics and research.

Keywords:
Bessel beamCOVID-19SARS-CoV-2acoustic separationnanoparticleviruses

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Area of Science:

  • Biotechnology
  • Virology
  • Acoustics

Background:

  • Virus isolation is crucial for developing viral therapeutics and vaccines, as highlighted during the COVID-19 pandemic.
  • Current viral isolation methods are often slow, labor-intensive, and yield low amounts of virus.

Purpose of the Study:

  • To introduce a novel, rapid, and efficient acoustofluidic technology for high-resolution virus isolation.
  • To demonstrate the capability of Bessel beam excitation separation technology (BEST) for isolating viruses from complex biological samples.

Main Methods:

  • Utilized 2D, in-plane acoustic Bessel beams for continuous separation of cell-free viruses from biofluids.
  • Employed Bessel beam excitation separation technology (BEST) for size-selective virus isolation by tuning acoustic parameters.
  • Applied BEST to isolate SARS-CoV-2 from saliva and Moloney Murine Leukemia Virus from cell culture media.

Main Results:

  • Achieved high throughput and high viral RNA yield in virus isolation.
  • Demonstrated dynamic, size-selective isolation, effectively removing larger and smaller contaminants.
  • Obtained high separation resolution, yield, and purity of isolated viruses.

Conclusions:

  • BEST offers a powerful tool for rapid and efficient virus isolation from complex biological samples.
  • This technology shows significant potential for advancing viral diagnostics, therapeutics, and vaccine development.
  • BEST is applicable to both practical diagnostic applications and fundamental virology research.