Evidence map›Paper›PMID 35136373›Full record

ReviewFood technology and biotechnology2021

Detection of Microorganisms Using Graphene-Based Nanobiosensors.

Mehrab Pourmadadi, Fatemeh Yazdian, Sara Hojjati, Kianoush Khosravi-Darani

Open access · diamondAbstract readReview
In one paragraph

Review in Food technology and biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

7 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Two-Dimensional Graphitic Carbon Nitride (g-CJournal of functional biomaterials · 2022
    Review
  5. Article
  6. Fabrication of Au/FeEngineering in life sciences · 2022
    Article
  7. 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

4 authors at 2 institutions in 1 country.

Mehrab PourmadadiSchool of Chemical Engineering, College of Engineering, University of Tehran, Tehran, Iran.ORCID https://orcid.org/0000-0002-8819-3649
Fatemeh YazdianDepartment of Life Science Engineering, Faculty of New Science and Technologies, University of Tehran, Tehran, Iran.ORCID https://orcid.org/0000-0002-0550-9821
Sara HojjatiDepartment of Life Science Engineering, Faculty of New Science and Technologies, University of Tehran, Tehran, Iran.ORCID https://orcid.org/0000-0002-8314-7010
Kianoush Khosravi-DaraniDepartment of Food Technology Research, National Nutrition and Food Technology Research Institute, Faculty of Nutrition Sciences and Food Technology, Shahid Beheshti University of Medical Science, P. O. Box 19395-4741, Tehran, Iran.ORCID https://orcid.org/0000-0002-0269-6385
University of Tehran · IRNational Nutrition and Food Technology Research Institute · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Having an insight into graphene and graphene derivatives such as graphene oxide, reduced graphene oxide and graphene quantum dots is necessary since it can help scientists to detect possible properties and features that could be useful when using these carbon materials in preparation of a nanocomposites. In recent years, graphene and its derivatives have attracted a lot of attention and been extensively applied in biosensors due to fascinating properties, such as large surface area, optical and magnetic properties, and high elasticity for the detection of microorganisms as they can be modified with some other materials such as macromolecules, oxide metals and metals to improve the electrochemical behaviour of the biosensor. In this review paper, biosensor design strategies based on graphene and its derivatives (graphene-based nanocomposites in biosensors) are described. Then their application for the detection of microorganisms including prions, viroids, viral and bacterial cells as well as fungi, protozoa, microbial toxins and even microbial sources of antibiotics is reviewed.

Indexed as

graphenegraphene oxidegraphene quantum dotsmicroorganism detectionnanobiosensorsreduced graphene oxide

Identifiers

PMID35136373
PMCPMC8753800
OpenAlexW3216922714

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.