Evidence map›Paper›PMID 40980496›Full record

ReviewAPL bioengineering2025

A comprehensive review of graphene-based biosensors: Fabrication, applications, characterization and future perspectives-A review.

Yao-Tung Wang, Arvind Mukundan, Riya Karmakar, Tsung-Hsien Chen, Hardik Dhiman, Fan-Min Lin, Hsiang-Chen Wang

Abstract readReview
In one paragraph

Review in APL bioengineering, 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. Engineering two-dimensional electronic biosensors.Nature reviews electrical engineering · 2026
    Article
  2. Review
  3. Review
  4. Article
  5. Article
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

7 authors.

Yao-Tung Wang
Riya KarmakarDepartment of Mechanical Engineering, National Chung Cheng University, 168, University Rd.., Min Hsiung, Chia Yi 62102, Taiwan.ORCID https://orcid.org/0000-0003-0762-6770
Tsung-Hsien ChenDepartment of Internal Medicine, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chiayi 60002, Taiwan.ORCID https://orcid.org/0000-0002-1542-1495
Hardik DhimanDepartment of Computer Science Engineering, Chandigarh University, NH-05, Ludhiana, Highway, Chandigarh, Punjab 140413, India.
Fan-Min LinDivision of Chest Medicine, Kaohsiung Armed Forces General Hospital, 2, Zhongzheng 1st. Rd., Kaohsiung City 80284, Taiwan.ORCID https://orcid.org/0000-0001-8101-7485

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Graphene is a 2D material that has emerged as a versatile and advanced material for biosensing technology due to its large surface area, high conductivity, and biocompatibility. These properties make it well-suited for label-free detection of biomarkers with high sensitivity and accuracy, which is crucial for early diagnosis of various diseases, environmental monitoring, and food safety. This review highlights recent progress in graphene-based biosensor technologies, emphasizing key fabrication methods such as mechanical exfoliation, liquid phase exfoliation, chemical vapor deposition, electrochemical exfoliation, and microwave-assisted exfoliation, which are highly effective and suitable for generating graphene at an industry level. Furthermore, the study highlights characterization techniques such as Raman spectroscopy, optical spectroscopy, scanning electron microscope, transmission electron microscopy, and atomic force microscopy, which ensure quality and functionality of the graphene in biosensing applications. While hurdles like enhancing conductivity and achieving large-scale production remain, graphene-based biosensors offer a transformative approach to delivering precise and consistent results across various industries, paving the way for innovative solutions in diagnostics and monitoring systems.

Identifiers

PMID40980496
PMCPMC12448920

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.