Evidence map›Paper›PMID 40678549›Full record

ArticleCyborg and bionic systems (Washington, D.C.)2025

An Acoustofluidic Device for Sample Preparation and Detection of Small Extracellular Vesicles.

Jessica F Liu, Jianping Xia, Joseph Rich, Shuaiguo Zhao, Kaichun Yang, Brandon Lu, Ying Chen, Tiffany Wen Ye, Tony Jun Huang

Abstract read
In one paragraph

Article in Cyborg and bionic systems (Washington, D.C.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
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

9 authors.

Jessica F LiuDepartment of Anesthesiology, Duke University School of Medicine, Durham, NC 27710, USA.
Jianping XiaThe Thomas Lord Department of Mechanical Engineering and Materials, Duke University, NC 27708, USA.
Joseph RichDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
Shuaiguo ZhaoThe Thomas Lord Department of Mechanical Engineering and Materials, Duke University, NC 27708, USA.
Kaichun YangThe Thomas Lord Department of Mechanical Engineering and Materials, Duke University, NC 27708, USA.
Brandon LuThe Thomas Lord Department of Mechanical Engineering and Materials, Duke University, NC 27708, USA.
Ying ChenThe Thomas Lord Department of Mechanical Engineering and Materials, Duke University, NC 27708, USA.
Tiffany Wen YeThe Thomas Lord Department of Mechanical Engineering and Materials, Duke University, NC 27708, USA.
Tony Jun HuangThe Thomas Lord Department of Mechanical Engineering and Materials, Duke University, NC 27708, USA.ORCID https://orcid.org/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
Integrated Acoustofluidic Plasmonic Molecular Diagnostic System for Detecting MicroRNA BiomarkersR01GM135486 · NIGMS · DUKE UNIVERSITY · PI VO-DINH, TUAN · 2020 to 2023
$1.8M
Enabling Efficient, Fast, Biocompatible Exosome Separation via AcoustofluidicsR01GM132603 · NIGMS · DUKE UNIVERSITY · PI HUANG, TONY JUN · 2019 to 2022
$1.7M
NIGMS NIH HHS R01 GM132603NIGMS NIH HHS R01 GM135486NIGMS NIH HHS R01 GM141055
6 · The paper itself

Abstract

Small extracellular vesicles (sEVs) have emerged as powerful vectors for liquid biopsy, offering a noninvasive window into the dynamic physiological and pathological states of the body. However, to fully leverage the clinical potential of sEV biomarkers, it is imperative to develop robust and efficient technologies for their isolation and analysis. In this study, we introduce a novel sharp-edge acoustofluidic platform designed for rapid and effective sample preparation, coupled with sensitive detection of specific sEV populations based on their surface markers. Our approach utilizes acoustically activated sharp-edge microstructures to concentrate bead-bound sEVs within the microfluidic device, facilitating immediate visualization by fluorescence microscopy. As a proof of principle, we demonstrate the capability of this portable acoustofluidic chip to selectively isolate and detect epidermal growth factor receptor (EGFR)-expressing vesicles, achieving nearly a 6-fold signal enhancement in EGFR-positive sEVs compared to EGFR-negative populations from sample volumes as small as 50 μl. This advancement not only underscores the potential of our platform for high-sensitivity biomarker detection but also paves the way for its application in isolating organ-specific sEVs. Such capability could be transformative for real-time monitoring of organ function and the simultaneous detection of multiple sEV markers, thereby broadening the scope of diagnostic precision and therapeutic decision-making in clinical practice.

Identifiers

PMID40678549
PMCPMC12267987

What Socratic holds

Textmetadata
LicenceCC BY
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.