ReviewMicrosystems & nanoengineering2026
Acoustically driven micro/nanobubbles: from fundamental mechanisms to biomedical applications.
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.
What it found
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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.
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.
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Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
7 authors.
Funding
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.
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Registered trials
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.