Evidence map›Paper›PMID 35624570›Full record

ReviewBiosensors2022

Properties and Applications of Graphene and Its Derivatives in Biosensors for Cancer Detection: A Comprehensive Review.

Mehrab Pourmadadi, Homayoon Soleimani Dinani, Fatemeh Saeidi Tabar, Kajal Khassi, Sajjad Janfaza, Nishat Tasnim, Mina Hoorfar

Open access · goldAbstract readReview
In one paragraph

Review in Biosensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
7.9field-weighted citation impact, top 2% of its field
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

19 citing papers in PubMed, 96 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Review
  14. Review
  15. Article
  16. Review
  17. Two-Dimensional Graphitic Carbon Nitride (g-CJournal of functional biomaterials · 2022
    Review
  18. Article
  19. Highly Sensitive TiOBiosensors · 2022
    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 at 4 institutions in 3 countries.

Mehrab PourmadadiSchool of Chemical Engineering, College of Engineering, University of Tehran, Tehran 1417935840, Iran.
Homayoon Soleimani DinaniDepartment of Electrical and Computer Engineering, Missouri University of Science and Technology, Rolla, MO 65409, USA.
Fatemeh Saeidi TabarSchool of Chemical Engineering, College of Engineering, University of Tehran, Tehran 1417935840, Iran.
Kajal KhassiDepartment of Textile Engineering, Isfahan University of Technology, Isfahan 8415683111, Iran.
Sajjad JanfazaSchool of Engineering, University of British Columbia, Kelowna, BC V1V 1V7, Canada.
Nishat TasnimSchool of Engineering, University of British Columbia, Kelowna, BC V1V 1V7, Canada.ORCID 0000-0002-9899-2014
Mina HoorfarSchool of Engineering, University of British Columbia, Kelowna, BC V1V 1V7, Canada.
University of British Columbia · CAUniversity of Tehran · IRIsfahan University of Technology · IRMissouri University of Science and Technology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer is one of the deadliest diseases worldwide, and there is a critical need for diagnostic platforms for applications in early cancer detection. The diagnosis of cancer can be made by identifying abnormal cell characteristics such as functional changes, a number of vital proteins in the body, abnormal genetic mutations and structural changes, and so on. Identifying biomarker candidates such as DNA, RNA, mRNA, aptamers, metabolomic biomolecules, enzymes, and proteins is one of the most important challenges. In order to eliminate such challenges, emerging biomarkers can be identified by designing a suitable biosensor. One of the most powerful technologies in development is biosensor technology based on nanostructures. Recently, graphene and its derivatives have been used for diverse diagnostic and therapeutic approaches. Graphene-based biosensors have exhibited significant performance with excellent sensitivity, selectivity, stability, and a wide detection range. In this review, the principle of technology, advances, and challenges in graphene-based biosensors such as field-effect transistors (FET), fluorescence sensors, SPR biosensors, and electrochemical biosensors to detect different cancer cells is systematically discussed. Additionally, we provide an outlook on the properties, applications, and challenges of graphene and its derivatives, such as Graphene Oxide (GO), Reduced Graphene Oxide (RGO), and Graphene Quantum Dots (GQDs), in early cancer detection by nanobiosensors.

Indexed as

Biosensing TechniquesGraphiteNanostructuresNeoplasmsQuantum DotsEarly Detection of CancerGraphitebiosensing methodcancer biomarkersdiagnostic applicationsgraphenenanobiosensor

Identifiers

PMID35624570
PMCPMC9138779
OpenAlexW4224312750

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.