Evidence map›Paper›PMID 39763125›Full record

ArticleACS nano2025

Lab-on-the-Needles: A Microneedle Patch-Based Mobile Unit for Highly Sensitive

Ying-Pei Hsu, Nan-Si Li, Hao-Han Pang, Yu-Chi Pan, Hung-Pei Tsai, Hsiao-Chien Chen, Ying-Tzu Chen, Chen-Hsun Weng, Shiao-Wei Kuo, Hung-Wei Yang

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Article in ACS nano, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. 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.

Ying-Pei HsuDepartment of Materials and Optoelectronic Science, National Sun Yat-sen University, Kaohsiung 80424, Taiwan.
Nan-Si LiDepartment of Biomedical Engineering, National Cheng Kung University, Tainan 70101, Taiwan.ORCID 0000-0002-6991-6223
Hao-Han PangDepartment of Biomedical Engineering, National Cheng Kung University, Tainan 70101, Taiwan.ORCID 0000-0001-9071-9649
Yu-Chi PanGraduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80708, Taiwan.
Hung-Pei TsaiDivision of Neurosurgery, Department of Surgery, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 80708, Taiwan.
Hsiao-Chien ChenCenter for Reliability Science and Technologies, Chang Gung University, Taoyuan 33302, Taiwan.ORCID 0000-0001-6222-5393
Ying-Tzu ChenDepartment of Biomedical Engineering, National Cheng Kung University, Tainan 70101, Taiwan.
Chen-Hsun WengMedical Device Innovation Center, National Cheng Kung University, No. 1, University Rd., Tainan City 70101, Taiwan.
Shiao-Wei KuoDepartment of Materials and Optoelectronic Science, National Sun Yat-sen University, Kaohsiung 80424, Taiwan.ORCID 0000-0002-4306-7171
Hung-Wei YangDepartment of Biomedical Engineering, National Cheng Kung University, Tainan 70101, Taiwan.ORCID 0000-0002-8438-6291

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Detection of biomarkers associated with physiological conditions provides critical insights into healthcare and disease management. However, challenges in sampling and analysis complicate the detection and quantification of protein biomarkers within the epidermal layer of the skin and in viscous liquid biopsy samples. Here, we present the "Lab-on-the-Needles" concept, utilizing a microneedle patch-based sensing box (MNP-based SenBox) for mobile healthcare applications. This system facilitates the rapid capture of protein biomarkers directly from the

Indexed as

COVID-19NeedlesAnimalsBiomarkersHumansRatsSARS-CoV-2SkinBiomarkersliquid biopsymicroneedle patch (MNP)mobile healthcare testing (MHCT)transdermal detectionzeolitic imidazolate framework-8 (ZIF-8)

Identifiers

PMID39763125
PMCPMC11781025

What OpenQuestion holds

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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.