Evidence map›Paper›PMID 39132820›Full record

ArticleACS nano2024

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 and 8 more

Abstract read
In one paragraph

Article in ACS nano, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Acoustofluidic Biosensors.Micromachines · 2026
    Review
  4. Article
  5. Article
  6. Enhancing cancer therapyLab on a chip · 2025
    Article
  7. Article
  8. Isolation Techniques of Micro/Nano-Scaled Species for Biomedical Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Jianping XiaThe Thomas Lord Department of Mechanical Engineering and Materials, Duke University, Durham, North Carolina 27708, United States.ORCID 0000-0001-9902-0228
Zeyu WangThe Thomas Lord Department of Mechanical Engineering and Materials, Duke University, Durham, North Carolina 27708, United States.
Ryan BeckerDepartment of Biomedical Engineering, Duke University, Durham, North Carolina 27708, United States.
Feng LiSchool of Dentistry, University of California, Los Angeles, California 90095, United States.
Fang WeiSchool of Dentistry, University of California, Los Angeles, California 90095, United States.
Shujie YangThe Thomas Lord Department of Mechanical Engineering and Materials, Duke University, Durham, North Carolina 27708, United States.
Joseph RichDepartment of Biomedical Engineering, Duke University, Durham, North Carolina 27708, United States.
Ke LiThe Thomas Lord Department of Mechanical Engineering and Materials, Duke University, Durham, North Carolina 27708, United States.
Joseph RufoThe Thomas Lord Department of Mechanical Engineering and Materials, Duke University, Durham, North Carolina 27708, United States.
Jiao QianThe Thomas Lord Department of Mechanical Engineering and Materials, Duke University, Durham, North Carolina 27708, United States.
Kaichun YangThe Thomas Lord Department of Mechanical Engineering and Materials, Duke University, Durham, North Carolina 27708, United States.ORCID 0009-0003-6666-4619
Chuyi ChenThe Thomas Lord Department of Mechanical Engineering and Materials, Duke University, Durham, North Carolina 27708, United States.
Yuyang GuThe Thomas Lord Department of Mechanical Engineering and Materials, Duke University, Durham, North Carolina 27708, United States.
Ruoyu ZhongThe Thomas Lord Department of Mechanical Engineering and Materials, Duke University, Durham, North Carolina 27708, United States.
Patty J LeeIcahn School of Medicine at Mount Sinai, New York, New York 10029, United States.
David T W WongSchool of Dentistry, University of California, Los Angeles, California 90095, United States.
Luke P LeeRenal 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.ORCID 0000-0002-1436-4054
Tony Jun HuangThe Thomas Lord Department of Mechanical Engineering and Materials, Duke University, Durham, North Carolina 27708, United States.ORCID 0000-0003-1205-3313

Funding

Development of a digital acoustofluidic system for automating liquid handling in biomedical researchR01GM141055 · NIGMS · DUKE UNIVERSITY · PI HUANG, TONY JUN · 2021 to 2024
$1.9M
AFS/SERS Saliva-based SARS-CoV-2 Earliest Infection and Antibodies DetectionU18TR003778 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HUANG, TONY JUN, KIM, YONG · 2021 to 2022
$1.8M
Integrated Acoustofluidic Plasmonic Molecular Diagnostic System for Detecting MicroRNA BiomarkersR01GM135486 · NIGMS · DUKE UNIVERSITY · PI VO-DINH, TUAN · 2020 to 2023
$1.8M
Acoustofluidic Separation (AFS), Purification and Raman Spectral Fingerprinting of Single EVs: From Cell of Origin to Target Cell and BiofluidsUH3TR002978 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GALL, KENNETH A, HUANG, TONY JUN · 2021 to 2022
$1.8M
Enabling Efficient, Fast, Biocompatible Exosome Separation via AcoustofluidicsR01GM132603 · NIGMS · DUKE UNIVERSITY · PI HUANG, TONY JUN · 2019 to 2022
$1.7M
The function role of salivary piRNAs in oral wound healingR21DE034146 · NIDCR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LI, FENG · 2024 to 2025
$433k
Novel ultra-short cell free DNA biomarkers for early detection of non-small cell lung cancer.R21CA283665 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LI, FENG, WONG, DAVID T · 2023 to 2024
$393k
NCATS NIH HHS U18 TR003778NCATS NIH HHS UH3 TR002978NCI NIH HHS R21 CA283665NIDCR NIH HHS R21 DE034146NIGMS NIH HHS R01 GM132603NIGMS NIH HHS R01 GM135486NIGMS NIH HHS R01 GM141055
6 · The paper itself

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.

Indexed as

SalivaSARS-CoV-2AcousticsAnimalsCOVID-19HumansRNA, ViralRNA, Viralacoustic separationBessel beamCOVID-19nanoparticleSARS-CoV-2viruses

Identifiers

PMID39132820
PMCPMC12212744

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.