Evidence map›Paper›PMID 42111521›Full record

ArticleRSC advances2026

Graphene field-effect transistor based multiplexed sensing platform for simultaneous detection of multiple Alzheimer's disease biomarkers.

Biyu Guo, Jiangyang Wang, Feige Lou, Baowei Yuan, Zhibo Chen, Chengjie Tang, Weiao Chen, Fangxuan Yi, Jingjing Jiang, Guangxi Hu and 2 more

Abstract read
In one paragraph

Article in RSC advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

12 authors.

Biyu GuoState Key Laboratory of Integrated Chips and Systems, School of Information Science and Technology, Fudan University Shanghai 200433 China lu_ye@fudan.edu.cn.
Jiangyang WangState Key Laboratory of Integrated Chips and Systems, School of Information Science and Technology, Fudan University Shanghai 200433 China lu_ye@fudan.edu.cn.
Feige LouState Key Laboratory of Integrated Chips and Systems, School of Information Science and Technology, Fudan University Shanghai 200433 China lu_ye@fudan.edu.cn.
Baowei YuanState Key Laboratory of Integrated Chips and Systems, School of Information Science and Technology, Fudan University Shanghai 200433 China lu_ye@fudan.edu.cn.
Zhibo ChenState Key Laboratory of Integrated Chips and Systems, School of Information Science and Technology, Fudan University Shanghai 200433 China lu_ye@fudan.edu.cn.
Chengjie TangState Key Laboratory of Integrated Chips and Systems, School of Information Science and Technology, Fudan University Shanghai 200433 China lu_ye@fudan.edu.cn.
Weiao ChenState Key Laboratory of Integrated Chips and Systems, School of Information Science and Technology, Fudan University Shanghai 200433 China lu_ye@fudan.edu.cn.
Fangxuan YiState Key Laboratory of Integrated Chips and Systems, School of Information Science and Technology, Fudan University Shanghai 200433 China lu_ye@fudan.edu.cn.
Jingjing JiangDepartment of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University Shanghai 200032 China jiang.jingjing@zs-hospital.sh.cn.
Guangxi HuState Key Laboratory of Integrated Chips and Systems, School of Information Science and Technology, Fudan University Shanghai 200433 China lu_ye@fudan.edu.cn.
Chunxiao CongState Key Laboratory of Integrated Chips and Systems, School of Information Science and Technology, Fudan University Shanghai 200433 China lu_ye@fudan.edu.cn.ORCID https://orcid.org/0000-0001-9786-825X
Ye LuState Key Laboratory of Integrated Chips and Systems, School of Information Science and Technology, Fudan University Shanghai 200433 China lu_ye@fudan.edu.cn.ORCID https://orcid.org/0009-0009-6739-014X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Simultaneous detection of multiple biomarkers for one disease using a single drop of body fluid is challenging yet critical to confirm symptoms in the early stage. This study presents the development of a graphene field-effect transistor (GFET)-based multiplexed sensing platform designed for overcoming this obstacle. The platform utilizes a hexamethyldisilazane (HMDS) blocking layer as a hydrophobic treatment to enable recognition element (probe/aptamer) modifications within a small chip area (3 × 3 mm

Identifiers

PMID42111521
PMCPMC13150991

What OpenQuestion holds

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LicenceCC BY-NC
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.