Evidence map›Paper›PMID 33265955›Full record

ReviewMicromachines2020

Recent Advances in the Fabrication and Application of Graphene Microfluidic Sensors.

Shigang Wu, Xin Wang, Zongwen Li, Shijie Zhang, Fei Xing

Abstract readReview
In one paragraph

Review in Micromachines, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Advanced Waveguide Based LOC Biosensors: A Minireview.Sensors (Basel, Switzerland) · 2022
    Review
  6. Article
  7. Article
  8. 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

5 authors.

Shigang WuSchool of Materials Science and Engineering, Shandong University of Technology, Zibo 255049, China.
Xin WangSchool of Physics and Optoelectronic Engineering, Shandong University of Technology, Zibo 255049, China.
Zongwen LiSchool of Physics and Optoelectronic Engineering, Shandong University of Technology, Zibo 255049, China.ORCID 0000-0002-8700-5685
Shijie ZhangSchool of Physics and Optoelectronic Engineering, Shandong University of Technology, Zibo 255049, China.
Fei XingSchool of Physics and Optoelectronic Engineering, Shandong University of Technology, Zibo 255049, China.ORCID 0000-0001-8184-1343

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review reports the progress of the recent development of graphene-based microfluidic sensors. The introduction of microfluidics technology provides an important possibility for the advance of graphene biosensor devices for a broad series of applications including clinical diagnosis, biological detection, health, and environment monitoring. Compared with traditional (optical, electrochemical, and biological) sensing systems, the combination of graphene and microfluidics produces many advantages, such as achieving miniaturization, decreasing the response time and consumption of chemicals, improving the reproducibility and sensitivity of devices. This article reviews the latest research progress of graphene microfluidic sensors in the fields of electrochemistry, optics, and biology. Here, the latest development trends of graphene-based microfluidic sensors as a new generation of detection tools in material preparation, device assembly, and chip materials are summarized. Special emphasis is placed on the working principles and applications of graphene-based microfluidic biosensors, especially in the detection of nucleic acid molecules, protein molecules, and bacterial cells. This article also discusses the challenges and prospects of graphene microfluidic biosensors.

Indexed as

biosensorselectrochemicalgraphenemicrofluidicsoptical

Identifiers

PMID33265955
PMCPMC7760752

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.