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Harvard Medical School / UC Berkeley

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ACS Nano, Aug 12 2024, | https://doi.org/10.1021/acsnano.4c09692 Acoustofluidic Virus Isolation via Bessel Beam Excitation Separation Technology

Jianping Xia ¹, Zeyu Wang ¹, Ryan Becker ², Feng Li ³, Fang Wei ³, Shujie Yang ¹, Joseph Rich ², Ke Li ¹, Joseph Rufo ¹, Jiao Qian ¹, Kaichun Yang¹, Chuyi Chen ¹, Yuyang Gu ¹, Ruoyu Zhong ¹, Patty J. Lee ⁴, David T. W Wong ³, Luke P. Lee ⁵, Tony Jun Huang¹

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

²Department of Biomedical Engineering, Duke University, Durham, North Carolina 27708, United States.

³School of Dentistry, University of California, Los Angeles, California 90095, United States.

⁴Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States.

⁵Renal Division and Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Harvard University, Boston, Massachusetts 02115, United States.

J.X. and Z.W. contributed equally.

Corresponding Authors : Luke P. Lee, Tony Jun Huang

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.

논문정보

형식Research article
게재일2024년 08월 (BRIC 등록일 2024-08-19)
연구진국외 연구진
분야 바이오·의료융합 > 바이오센싱 및 나노바이오물질

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