Evidence map›Paper›PMID 31877987›Full record

ArticleMicromachines2019

3D Printed Multi-Functional Hydrogel Microneedles Based on High-Precision Digital Light Processing.

Wei Yao, Didi Li, Yuliang Zhao, Zhikun Zhan, Guoqing Jin, Haiyi Liang, Runhuai Yang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Micromachines, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
–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

37 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  11. 3D printed microneedles: revamping transdermal drug delivery systems.Drug delivery and translational research · 2025
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  17. Article
  18. Research Progress of Hydrogel Microneedles in Wound Management.ACS biomaterials science & engineering · 2024
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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.

Wei YaoDepartment of Biomedical Engineering, Anhui Medical University and Research and Engineering Center of Biomedical Materials, Anhui Medical University, Hefei 230032, China.
Didi LiDepartment of Biomedical Engineering, Anhui Medical University and Research and Engineering Center of Biomedical Materials, Anhui Medical University, Hefei 230032, China.
Yuliang ZhaoSchool of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China.
Zhikun ZhanKey Lab of Industrial Computer Control Engineering of Hebei Province, School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China.
Guoqing JinRobotics and Microsystems Center, School of Mechanical and Electric Engineering, Soochow University, Suzhou 215021, China.
Haiyi LiangCAS Key Laboratory of Mechanical Behavior and Design of Materials, University of Science and Technology of China, Hefei 230027, China.
Runhuai YangDepartment of Biomedical Engineering, Anhui Medical University and Research and Engineering Center of Biomedical Materials, Anhui Medical University, Hefei 230032, China.ORCID 0000-0002-3529-0277

Funding

National Natural Science Foundation of China 61603002, 61973003, 61773274
6 · The paper itself

Abstract

Traditional injection and extraction devices often appear painful and cumbersome for patients. In recent years, polymer microneedles (MNs) have become a novel tool in the field of clinical medicine and health. However, the cost of building MNs into any shapes still remains a challenge. In this paper, we proposed hydrogel microneedles fabricated by high-precision digital light processing (H-P DLP) 3D printing system. Benefits from the sharp protuberance and micro-porous of the hydrogel microneedle, the microneedle performed multifunctional tasks such as drug delivery and detection with minimally invasion. Critical parameters for the fabrication process were analyzed, and the mechanical properties of MNs were measured to find a balance between precision and stiffness. Results shows that the stiffness and precision were significantly influenced by exposure time of each layer, and optimized printing parameters provided a balance between precision and stiffness. Bio-compatible MNs based on our H-P DLP system was able to execute drug injection and drug detection in our experiments. This work provided a low-cost and fast method to build MNs with 3D building, qualified the mechanical performance, drug injection, drug detection ability of MNs, and may be helpful for the potential clinical application.

Indexed as

3D printingdrug detectiondrug injectionmicroneedle

Identifiers

PMID31877987
PMCPMC7019295

What OpenQuestion holds

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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.