Evidence map›Paper›PMID 41219197›Full record

ArticleMicrosystems & nanoengineering2025

Integrated individually addressable microneedle arrays for robust glucose monitoring and on-demand insulin releasing.

Yiming Wei, Wanying Chen, Yukun Ma, Yixin Zhao, Zhen Dai, Haoyu Liu, Shanshan Zhang, Yue Zhou, Xuesong Ye, Bo Liang

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Bioelectronic Considerations in Biomedical Microneedles.Small (Weinheim an der Bergstrasse, Germany) · 2026
    Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Review
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

10 authors.

Yiming Wei *Key Laboratory of Biomedical Engineering of Ministry of Education, Zhejiang Key Laboratory of Intelligent Sensing Technology and Advanced Medical Instrument, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, Zhejiang, 310027, PR China.
Wanying Chen *Key Laboratory of Biomedical Engineering of Ministry of Education, Zhejiang Key Laboratory of Intelligent Sensing Technology and Advanced Medical Instrument, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, Zhejiang, 310027, PR China.
Yukun MaKey Laboratory of Biomedical Engineering of Ministry of Education, Zhejiang Key Laboratory of Intelligent Sensing Technology and Advanced Medical Instrument, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, Zhejiang, 310027, PR China.
Yixin ZhaoKey Laboratory of Biomedical Engineering of Ministry of Education, Zhejiang Key Laboratory of Intelligent Sensing Technology and Advanced Medical Instrument, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, Zhejiang, 310027, PR China.
Zhen DaiKey Laboratory of Biomedical Engineering of Ministry of Education, Zhejiang Key Laboratory of Intelligent Sensing Technology and Advanced Medical Instrument, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, Zhejiang, 310027, PR China.
Haoyu LiuBinjiang Institute of Zhejiang University, Hangzhou, 310053, PR China.
Shanshan ZhangKey Laboratory of Biomedical Engineering of Ministry of Education, Zhejiang Key Laboratory of Intelligent Sensing Technology and Advanced Medical Instrument, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, Zhejiang, 310027, PR China.
Yue ZhouKey Laboratory of Biomedical Engineering of Ministry of Education, Zhejiang Key Laboratory of Intelligent Sensing Technology and Advanced Medical Instrument, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, Zhejiang, 310027, PR China.
Xuesong YeKey Laboratory of Biomedical Engineering of Ministry of Education, Zhejiang Key Laboratory of Intelligent Sensing Technology and Advanced Medical Instrument, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, Zhejiang, 310027, PR China.
Bo LiangKey Laboratory of Biomedical Engineering of Ministry of Education, Zhejiang Key Laboratory of Intelligent Sensing Technology and Advanced Medical Instrument, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, Zhejiang, 310027, PR China. boliang1986@zju.edu.cn.ORCID http://orcid.org/0000-0002-3670-2296

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Real-time glucose monitoring and adaptive insulin administration are critical for effective diabetes management. Minimally invasive microneedle-based glucose monitoring sensors offer a promising approach but suffer from signal drift due to tissue reactions, inconsistent implantation, or mechanical damage to their sensitive layers during insertion. Moreover, microneedle-based insulin delivery faces limitations in achieving accurate and quantitatively controlled release due to its passive response mechanism. Here, we report a minimally invasive platform integrating a multiplexed glucose biosensor array with on-demand insulin delivery for precise glycemic control. To prevent the impact of potential individual microneedle failure post-insertion, the system incorporates a redundant sensing array comprising four individually addressable electrodes functionalized with glucose oxidase, providing robust and reliable glucose measurements. Simultaneously, an addressable drug-release array of eight microneedles loaded with insulin within redox-responsive hydrogels enables localized electrochemical triggering for spatiotemporally controlled insulin release. These components are coordinated via a wireless interface leveraging real-time multi-channel ADC data processing and Bluetooth transmission to dynamically activate insulin microneedles based on algorithmic glycemic thresholds. The platform's redundant sensing design enhances system reliability, maintaining accurate glucose monitoring even in case of individual sensor failure, while its on-demand insulin release enables real-time glycemic regulation. Ultimately, in vivo experiments in rats were conducted to verify the system's efficacy. By synergizing multiplexed biosensing, fault tolerance, and programmable drug delivery, this platform addresses critical limitations of current glucose monitoring systems and establishes a demonstration prototype for next-generation closed-loop bioelectronics.

Identifiers

PMID41219197
PMCPMC12606245

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.