Evidence map›Paper›PMID 40428688›Full record

ArticleMicromachines2025

High-Efficiency Drug Loading in Lipid Vesicles by MEMS-Driven Gigahertz Acoustic Streaming.

Bingxuan Li, Haopu Wang, Zhen Wang, Huikai Xie, Yao Lu

Abstract read
In one paragraph

Article in Micromachines, 2025. 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

5 authors.

Bingxuan LiSchool of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, China.
Haopu WangSchool of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, China.ORCID 0009-0007-8491-430X
Zhen WangSchool of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, China.
Huikai XieSchool of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, China.ORCID 0000-0002-8393-0021
Yao LuSchool of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, China.ORCID 0000-0003-1745-5880

Funding

Beijing Institute of Technology Research Fund Program for Young Scholars XSQD-202206002National Natural Science Foundation of China 62204013Natural Science Foundation of Chongqing Municipality 2023NSCQ-MSX3360
6 · The paper itself

Abstract

Drug carriers hold significant promise for precision medicine but face persistent challenges in balancing high encapsulation efficiency with structural preservation during active loading. In this study, we present a microelectromechanical system (MEMS)-driven platform that can generate gigahertz (GHz)-frequency acoustic streaming (1.55 GHz) to enable nondestructive, power-tunable drug encapsulation in lipid vesicles. Utilizing DSPE-PEG-modified bilayers with hydrodynamic shear forces, our method achieves transient membrane permeability that preserves membrane integrity while permitting controlled doxorubicin (DOX) influx. We developed the GHz acoustic MEMS platform and applied it to systematically investigate two drug loading strategies: (1) loading DOX into giant unilamellar vesicles (GUVs, >10 μm in diameter) prior to extrusion into small unilamellar vesicles (SUVs, 100 nm) versus (2) direct acoustic loading into pre-formed SUVs. The GUV-first approach demonstrated better performance, achieving 60.04% ± 1.55% encapsulation efficiency (EE%) at 250 mW acoustic power-a 5.93% enhancement over direct SUV loading (54.11% ± 0.72%). Structural analysis via TEM confirmed intact SUV morphology post-loading, while power-dependent EE% analysis showed a linear trend. This work bridges gaps in nanocarrier engineering by optimizing drug loading strategies, aiming to offer a potential drug carrier platform for drug delivery in biomedical treatment in future.

Indexed as

acoustic streamingdrug encapsulationgigahertzMEMSvesicles

Identifiers

PMID40428688
PMCPMC12114090

What OpenQuestion holds

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Registered trials

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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.