Evidence map›Paper›PMID 42875423›Full record

ReviewMicrosystems & nanoengineering2026

Acoustically driven micro/nanobubbles: from fundamental mechanisms to biomedical applications.

Jiaxin Wu, Tatsuo Arai, Chenhao Bai, Changsheng Li, Xingguang Duan, Toshio Fukuda, Xiaoming Liu

Abstract readReview
In one paragraph

Review in Microsystems & nanoengineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Jiaxin WuSchool of Medical Engineering, Beijing Institute of Technology, Zhuhai, 519088, China.
Tatsuo AraiSchool of Mechatronics Engineering, Key Laboratory of Biomimetic Robots and Systems, Ministry of Education, and National Key Laboratory of Autonomous Intelligent Unmanned Systems, Beijing Institute of Technology, Beijing, 100081, China.
Chenhao BaiSchool of Mechatronics Engineering, Key Laboratory of Biomimetic Robots and Systems, Ministry of Education, and National Key Laboratory of Autonomous Intelligent Unmanned Systems, Beijing Institute of Technology, Beijing, 100081, China.
Changsheng LiSchool of Medical Engineering, Beijing Institute of Technology, Zhuhai, 519088, China.
Xingguang DuanSchool of Medical Engineering, Beijing Institute of Technology, Zhuhai, 519088, China. duanstar@bit.edu.cn.
Toshio FukudaInstitute of Innovation for Future Society, Nagoya University, Nagoya, 464-8601, Japan.
Xiaoming LiuSchool of Medical Engineering, Beijing Institute of Technology, Zhuhai, 519088, China. liuxiaoming555@bit.edu.cn.ORCID http://orcid.org/0000-0003-0230-2742

Funding

National Natural Science Foundation of China (National Science Foundation of China) 62273052National Natural Science Foundation of China (National Science Foundation of China) W2431050Natural Science Foundation of Beijing Municipality (Beijing Natural Science Foundation) IS23062Natural Science Foundation of Beijing Municipality (Beijing Natural Science Foundation) L248102
6 · The paper itself

Abstract

Acoustically driven micro/nanobubbles, as a bridge between macroscopic acoustic fields and microscopic biological machinery, have shown considerable promise due to their non-contact actuation, tunable mechanical responses, and favorable biocompatibility. Recent advances in bubble formulation and acoustic control have further expanded their capabilities, enabling targeted membrane permeabilization, enhanced molecular transport, and precise manipulation at the microscale. In this review, we summarize the fundamental mechanisms linking bubble dynamics to biologically relevant effects under ultrasound and establish quantitative design criteria that govern the coupling between acoustic parameters, bubble behavior, and therapeutic performance. We then organize biomedical applications across scales, spanning single-cell manipulation, tissue-level barrier modulation, and organ-scale imaging and therapeutic interventions. Particular attention is given to how acoustic modes and bubble configurations translate into measurable performance metrics, as well as the limitations that constrain reproducibility and safety in complex biological environments. Finally, we discuss key challenges for practical translation from an engineering perspective and propose strategies for improving controllability, standardization, and system integration. By providing a framework to overcome the inherent randomness of bubble-acoustic interactions in clinical translation, this review outlines a roadmap toward reliable and programmable mechano-bio platforms for closed-loop, patient-adaptive interventions.

Identifiers

PMID42875423
PMCPMC13669364

What OpenQuestion holds

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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 OpenQuestion graph.