Evidence map›Paper›PMID 41680123›Full record

ArticleMicrosystems & nanoengineering2026

Vertical graphene-coated core-shell microneedle as miniatured sensor for in vivo glucose monitoring.

Jiayi Chen, Shantao Zheng, Yijing Cai, Chuanjie Yao, Xiaotong Li, Chenhao Zhou, Longwen Yan, Furui Qiu, Xinze Wang, Lelun Jiang and 4 more

Abstract read
In one paragraph

Article 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.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

14 authors.

Jiayi Chen *State Key Laboratory of Optoelectronic Materials and Technologies; Guangdong Province Key Laboratory of Display Material and Technology; School of Electronics and Information Technology; Sun Yat-Sen University, Guangzhou, 510006, China.
Shantao Zheng *State Key Laboratory of Optoelectronic Materials and Technologies; Guangdong Province Key Laboratory of Display Material and Technology; School of Electronics and Information Technology; Sun Yat-Sen University, Guangzhou, 510006, China.
Yijing Cai *State Key Laboratory of Optoelectronic Materials and Technologies; Guangdong Province Key Laboratory of Display Material and Technology; School of Electronics and Information Technology; Sun Yat-Sen University, Guangzhou, 510006, China.
Chuanjie Yao *State Key Laboratory of Optoelectronic Materials and Technologies; Guangdong Province Key Laboratory of Display Material and Technology; School of Electronics and Information Technology; Sun Yat-Sen University, Guangzhou, 510006, China.
Xiaotong LiState Key Laboratory of Optoelectronic Materials and Technologies; Guangdong Province Key Laboratory of Display Material and Technology; School of Electronics and Information Technology; Sun Yat-Sen University, Guangzhou, 510006, China.
Chenhao ZhouState Key Laboratory of Optoelectronic Materials and Technologies; Guangdong Province Key Laboratory of Display Material and Technology; School of Electronics and Information Technology; Sun Yat-Sen University, Guangzhou, 510006, China.
Longwen YanState Key Laboratory of Optoelectronic Materials and Technologies; Guangdong Province Key Laboratory of Display Material and Technology; School of Electronics and Information Technology; Sun Yat-Sen University, Guangzhou, 510006, China.
Furui QiuState Key Laboratory of Optoelectronic Materials and Technologies; Guangdong Province Key Laboratory of Display Material and Technology; School of Electronics and Information Technology; Sun Yat-Sen University, Guangzhou, 510006, China.
Xinze WangState Key Laboratory of Optoelectronic Materials and Technologies; Guangdong Province Key Laboratory of Display Material and Technology; School of Electronics and Information Technology; Sun Yat-Sen University, Guangzhou, 510006, China.
Lelun JiangSchool of Biomedical Engineering, Sun Yat-Sen University in Shenzhen, Shenzhen, 518107, China.ORCID http://orcid.org/0000-0002-5530-3266
Hui-Jiuan ChenState Key Laboratory of Optoelectronic Materials and Technologies; Guangdong Province Key Laboratory of Display Material and Technology; School of Electronics and Information Technology; Sun Yat-Sen University, Guangzhou, 510006, China.
Linxian LiDepartment of Surgery, The Chinese University of Hong Kong, Shatin, Hong Kong. lxli@surgery.cuhk.edu.hk.
Xi XieState Key Laboratory of Optoelectronic Materials and Technologies; Guangdong Province Key Laboratory of Display Material and Technology; School of Electronics and Information Technology; Sun Yat-Sen University, Guangzhou, 510006, China. xiexi27@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0001-7406-8444
Xinshuo HuangState Key Laboratory of Optoelectronic Materials and Technologies; Guangdong Province Key Laboratory of Display Material and Technology; School of Electronics and Information Technology; Sun Yat-Sen University, Guangzhou, 510006, China. huangxsh35@mail.sysu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microneedle-based continuous glucose monitoring systems have advanced diabetes management in pain less manner, but challenges remain regarding detection sensitivity due to limited sensing area. Vertical graphene (VG) with large surface area offers high conductivity and excellent electrochemical properties for miniaturized, high-performance biomedical sensors. In this study, we developed a vertical graphene-coated core-shell microneedle glucose sensor (VCMGS) for continuous monitoring of glucose fluctuations. The VCMGS featured a hollow microneedle as the outer shell for effective skin penetration, coupled with a vertical graphene-modified sensing electrode core for glucose detection subcutaneously. The core-shell structure provides robust mechanical strength, minimizing damage to the sensing area and improving overall sensor stability. Meanwhile, the electrochemical performance and sensitivity of the microneedle electrode was enhanced by VG, enabling reliable, in situ, and real-time physiological signal acquisition from interstitial fluid. The VCMGS exhibited sensitive response to glucose variations, with a well-defined linear relationship, high selectivity, temporal stability, and dependable signal transmission in both in vitro and in vivo experiments, demonstrating high capability for precise, continuous tracking of glucose fluctuations in real time. This work offered potential applicability and benefits in aiding the diagnosis and treatment of diabetes.

Identifiers

PMID41680123
PMCPMC12901114

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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.