Evidence map›Paper›PMID 41406206›Full record

ArticleScience advances2025

Programmable acoustofluidic engineering for creating gradient biomaterials.

Yujing Lu, Ye He, Jianping Xia, Mingyuan Liu, Joseph Rich, Ke Jin, Ruoyu Zhong, Kaichun Yang, Jiao Qian, Ying Chen and 3 more

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Micro/Nanoscale Acoustic Manipulation: From Particle Control to Autonomous Microswimmers.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  3. 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

13 authors.

Yujing LuThe Thomas Lord Department of Mechanical Engineering and Materials, Duke University, Durham, NC 27708, USA.ORCID 0000-0001-8106-5110
Ye HeThe Thomas Lord Department of Mechanical Engineering and Materials, Duke University, Durham, NC 27708, USA.ORCID 0000-0001-7363-1063
Jianping XiaThe Thomas Lord Department of Mechanical Engineering and Materials, Duke University, Durham, NC 27708, USA.ORCID 0000-0001-9902-0228
Mingyuan LiuDepartment of Electrical and Computer Engineering, Duke University, Durham, NC 27708, USA.
Joseph RichDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA.ORCID 0000-0002-6249-2093
Ke JinThe Thomas Lord Department of Mechanical Engineering and Materials, Duke University, Durham, NC 27708, USA.ORCID 0000-0002-9225-6470
Ruoyu ZhongThe Thomas Lord Department of Mechanical Engineering and Materials, Duke University, Durham, NC 27708, USA.ORCID 0000-0003-0433-0923
Kaichun YangThe Thomas Lord Department of Mechanical Engineering and Materials, Duke University, Durham, NC 27708, USA.ORCID 0009-0003-6666-4619
Jiao QianThe Thomas Lord Department of Mechanical Engineering and Materials, Duke University, Durham, NC 27708, USA.ORCID 0009-0004-5479-9900
Ying ChenThe Thomas Lord Department of Mechanical Engineering and Materials, Duke University, Durham, NC 27708, USA.ORCID 0009-0000-4812-7658
Ke LiThe Thomas Lord Department of Mechanical Engineering and Materials, Duke University, Durham, NC 27708, USA.ORCID 0000-0002-0243-1811
Zhiteng MaThe Thomas Lord Department of Mechanical Engineering and Materials, Duke University, Durham, NC 27708, USA.ORCID 0000-0002-4385-4247
Tony Jun HuangThe Thomas Lord Department of Mechanical Engineering and Materials, Duke University, Durham, NC 27708, USA.ORCID 0000-0003-1205-3313

Funding

Automated High-purity Exosome isolation-based AD diagnostics system (AHEADx)R01AG084098 · NIA · DUKE UNIVERSITY · PI Tony Jun Huang · 2023 to 2026
$3.1M
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
NIA NIH HHS R01 AG084098NIGMS NIH HHS R01 GM141055
6 · The paper itself

Abstract

Gradient biomaterials that exhibit spatially varying physical, chemical, or biological properties can be used in various applications such as tissue engineering, organoid development, mechanobiology, and spatially controlled drug delivery. However, current fabrication methods often suffer from limited gradient precision, restricted material compatibility, and poor reproducibility. Here, we introduced gradient regulation via acoustofluidic dynamic engineering (GRADE), a programmable system to generate high-fidelity gradient biomaterials across different material systems. By incorporating focused interdigital transducers with the pulsed surface acoustic wave actuation, GRADE can achieve tunable and directional acoustic streaming (0 to 22 millimeters per second), which allows accurate regulation of the gradient magnitude and length. Its open microchannel design enables nondestructive extraction of centimeter-scale gradients and supports device reuse, enhancing practicality and scalability. In contrast to magnetic or electrospinning techniques that are limited to specific material types, the GRADE approach supports composition-independent fluid manipulation of a diverse group of biomaterials and cross-linking methods, thus providing greater versatility and translational potential. Furthermore, we demonstrate stiffness-dependent mechanosensation in stem cells cultured on customized gradient substrates, which validates the platform's usability. The experimental results show that GRADE has the ability to uncover mechanobiological responses in physiologically relevant contexts. All these results establish GRADE as a powerful and versatile platform for gradient biomaterial fabrication. It shows broad potential to advance both fundamental research and translational biomedical applications.

Indexed as

AcousticsBiocompatible MaterialsHumansTissue EngineeringBiocompatible Materials

Identifiers

PMID41406206
PMCPMC12710695

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.