Evidence map›Paper›PMID 42345860›Full record

ReviewBiosensors2026

Practical Applications of 2D Material FET Biosensors: Functionalization Strategies and Detection Performance.

Binbin Gao, Guohui Li, Milica Balaban, Vesna Antic, Muhammad Zeeshan Tahir, Li Gao

Abstract readReview
In one paragraph

Review in Biosensors, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

6 authors.

Binbin GaoSchool of Life Sciences, Jiangsu University, Zhenjiang 212013, China.
Guohui LiSchool of Life Sciences, Jiangsu University, Zhenjiang 212013, China.ORCID 0000-0002-4214-0533
Milica BalabanFaculty of Natural Sciences and Mathematics, University of Banja Luka, Mladena Stojanovića 2, 78000 Banja Luka, Bosnia and Herzegovina.ORCID 0000-0001-7095-4764
Vesna AnticFaculty of Agriculture, University of Belgrade, Nemanjina 6, 11080 Belgrade, Serbia.ORCID 0000-0003-3283-0044
Muhammad Zeeshan TahirSchool of Materials Science and Engineering, Jiangsu University, Zhenjiang 212013, China.
Li GaoSchool of Life Sciences, Jiangsu University, Zhenjiang 212013, China.

Funding

Guiding Science and Technology Plan Project for Social Development in Zhenjiang City FZ2022052National Foreign Experts Program Project of China H20240553National Natural Science Foundation of China U2230132Zhenjiang Science and Technology Plan SH2024098
6 · The paper itself

Abstract

Two-dimensional-material-based FET biosensors have gained attention for being label-free and having ultra-sensitive detection capability. The high carrier mobility and large surface-to-volume ratio of 2D materials enable low detection limits under buffer conditions; however, practical detection still faces many challenges. Current reviews have largely summarized materials, functionalization routes, or target classes separately, but a clearer framework linking interface design, device architecture, and practical sensing performance is still needed. In this review, we examine how interfacial engineering and device architecture govern signal transduction and sensing behavior in 2D material FET biosensors. We also analyze the major barriers to real-sample detection, including Debye screening, nonspecific adsorption, and signal drift, together with commonly used mitigation strategies. On this basis, an "interface-device-performance" framework is discussed as a conceptual approach for understanding the relationship between molecular recognition, electrical response, and sensing performance. This review mainly focuses on the key challenges of 2D material FET biosensors in practical medical applications, discusses the differences between material and application perspectives, and examines the major factors limiting clinical translation.

Indexed as

Biosensing TechniquesTransistors, ElectronicHumans2D material FET biosensorsbiosensingpractical applicationsreal-sample detectionsurface functionalization

Identifiers

PMID42345860
PMCPMC13296612

What Socratic 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 Socratic graph.