Evidence map›Paper›PMID 42170741›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

An Energy Autonomous Microneedle Array-Based Sensing System for Continuous Biomarker Monitoring.

Arnab Pal, Kai-Po Fan, Sheng-Chun Hung, Jaba Roy Chowdhury, Jun-Hsun Chung, Meenakshi Ray, Hsiang-Yun Hsu, Fu-Cheng Kao, Kuei-Lin Liu, Zong-Hong Lin

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Arnab PalDepartment of Biomedical Engineering, National Taiwan University, Taipei, Taiwan.ORCID https://orcid.org/0009-0008-3114-3799
Kai-Po FanDepartment of Biomedical Engineering, National Taiwan University, Taipei, Taiwan.
Sheng-Chun HungDepartment of Biomedical Engineering, National Taiwan University, Taipei, Taiwan.
Jaba Roy ChowdhuryDepartment of Biomedical Engineering, National Taiwan University, Taipei, Taiwan.
Jun-Hsun ChungInstitute of Biomedical Engineering, National Tsing Hua University, Hsinchu, Taiwan.
Meenakshi RayDepartment of Power Mechanical Engineering, National Tsing Hua University, Hsinchu, Taiwan.
Hsiang-Yun HsuDepartment of Biomedical Engineering, National Taiwan University, Taipei, Taiwan.
Fu-Cheng KaoDepartment of Orthopaedic Surgery, Spine Section, Chang Gung Memorial Hospital, Taoyuan, Taiwan.
Kuei-Lin LiuDepartment of Biomedical Engineering, National Taiwan University, Taipei, Taiwan.
Zong-Hong LinDepartment of Biomedical Engineering, National Taiwan University, Taipei, Taiwan.ORCID https://orcid.org/0000-0002-1793-7858

Funding

National Science and Technology Council of Taiwan 113-2628-E-002-010-MY3National Science and Technology Council of Taiwan 113-2636-E-002-002National Science and Technology Council of Taiwan 113-2923-E-002-014-MY2National Science and Technology Council of Taiwan 114-2740-M-002-004
6 · The paper itself

Abstract

Wearable bioelectronics are revolutionizing personalized healthcare by enabling continuous monitoring of physiochemical indicators. Despite significant advancements, challenges remain in creating platforms that can accurately detect multiple biomarkers while being energy autonomous. This study introduces a wearable, minimally invasive microneedle array platform for real-time monitoring of clinically relevant biomarkers during exercise. The device features stainless-steel microneedles (SS-MNs) with ion-selective membranes and a glucose-sensing layer, allowing simultaneous detection of sodium (Na

Indexed as

BiomarkersBiosensing TechniquesNeedlesWearable Electronic DevicesEquipment DesignExtracellular FluidHumansMonitoring, PhysiologicBiomarkershybrid power generationinternet of things (IoT)interstitial fluidmicroneedle sensorswearable biosensors

Identifiers

PMID42170741
PMCPMC13335777

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.