Acoustofluidic Virus Isolation via Bessel Beam Excitation Separation Technology

Jianping Xia, Zeyu Wang, Ryan Becker, Feng Li, Fang Wei, Shujie Yang, Joseph Rich, Ke Li, Joseph Rufo, Jiao Qian, Kaichun Yang, Chuyi Chen, Yuyang Gu, Ruoyu Zhong, Patty J. Lee, David T.W. Wong, Luke P. Lee, Tony Jun Huang

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

The isolation of viruses from complex biological samples is essential for creating sensitive bioassays that assess the efficacy and safety of viral therapeutics and vaccines, which have played a critical role during the COVID-19 pandemic. However, existing methods of viral isolation are time-consuming and labor-intensive due to the multiple processing steps required, resulting in low yields. Here, we introduce the rapid, efficient, and high-resolution acoustofluidic isolation of viruses from complex biological samples via Bessel beam excitation separation technology (BEST). BEST isolates viruses by utilizing the nondiffractive and self-healing properties of 2D, in-plane acoustic Bessel beams to continuously separate cell-free viruses from biofluids, with high throughput and high viral RNA yield. By tuning the acoustic parameters, the cutoff size of isolated viruses can be easily adjusted to perform dynamic, size-selective virus isolation while simultaneously trapping larger particles and separating smaller particles and contaminants from the sample, achieving high-precision isolation of the target virus. BEST was used to isolate severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) from human saliva samples and Moloney Murine Leukemia Virus from cell culture media, demonstrating its potential use in both practical diagnostic applications and fundamental virology research. With high separation resolution, high yield, and high purity, BEST is a powerful tool for rapidly and efficiently isolating viruses. It has the potential to play an important role in the development of next-generation viral diagnostics, therapeutics, and vaccines.

Original languageEnglish
Pages (from-to)22596-22607
Number of pages12
JournalACS Nano
Volume18
Issue number33
DOIs
StatePublished - 20 Aug 2024

Bibliographical note

Publisher Copyright:
© 2024 American Chemical Society.

Keywords

  • acoustic separation
  • Bessel beam
  • COVID-19
  • nanoparticle
  • SARS-CoV-2
  • viruses

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