Evidence map›Paper›PMID 40916537›Full record

ArticleNan fang yi ke da xue xue bao = Journal of Southern Medical University2025

[Synthesis of a temperature-responsive multimodal motion microrobot capable of precise navigation for targeted controllable drug release].

Xuhui Zhao, Mengran Liu, Xi Chen, Jing Huang, Yuan Liu, Haifeng Xu

Abstract readEnglish Abstract
In one paragraph

Article in Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xuhui ZhaoHubei Provincial Key Laboratory of Modern Manufacture Quality Engineering, Hubei University of Technology, Wuhan 430068, China.
Mengran LiuHubei Provincial Key Laboratory of Modern Manufacture Quality Engineering, Hubei University of Technology, Wuhan 430068, China.
Xi ChenInstitute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Jing HuangInstitute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Yuan LiuInstitute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Haifeng XuInstitute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.

Funding

National Natural Science Foundation of China 52303167 and 52203152
6 · The paper itself

Abstract

objectivesTo synthesize a temperature-responsive multimodal motion microrobot (MMMR) using temperature and magnetic field-assisted microfluidic droplet technology to achieve targeted drug delivery and controlled drug release.

methodsMicrofluidic droplet technology was utilized to synthesize the MMMR by mixing gelatin with magnetic microparticles. The microrobot possessed a magnetic anisotropy structure to allow its navigation and targeted drug release by controlling the temperature field and magnetic field. In the experiment, the MMMR was controlled to move in a wide range along a preset path by rotating a uniform magnetic field, and the local circular motion was driven by a planar rotating gradient magnetic field of different frequencies. The MMMR was loaded with simulated drugs, which were released in response to laser heating.

resultsDriven by a rotating magnetic field, the MMMR achieved linear motion following a predefined path. The planar gradient rotating magnetic field controlled circular motion of the MMMR with an adjustable radius, utilizing the centrifugal force generated by rotation. The drug-loaded MMMR successfully reached the target location under magnetic guidance, where the gelatin matrix was melted using laser heating for accurate drug release, after which the remaining magnetic particles were removed using magnetic field.

conclusionsThe MMMR possesses multimodal motion capabilities to enable precise navigation along a predefined path and dynamic regulation of drug release within the target area, thus having great potential for a wide range of biomedical applications.

Indexed as

Drug Delivery SystemsRoboticsDelayed-Action PreparationsDrug LiberationGelatinMagnetic FieldsMicrofluidicsMotionTemperatureDelayed-Action PreparationsGelatindrug deliverymagnetic anisotropymicrofluidic synthesismicrorobotmultimodal motion

Identifiers

PMID40916537
PMCPMC12415582

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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.