Evidence map›Paper›PMID 34884089›Full record

ArticleSensors (Basel, Switzerland)2021

Graphene-Based Sensor for Detection of Bacterial Pathogens.

Santosh Pandit, Mengyue Li, Yanyan Chen, Shadi Rahimi, Vrss Mokkapati, Alessandra Merlo, August Yurgens, Ivan Mijakovic

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Understanding bacterial biofilms: From definition to treatment strategies.Frontiers in cellular and infection microbiology · 2023
    Pooled it
  2. Review
  3. Review
  4. 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

8 authors.

Santosh PanditDepartment of Biology and Biological Engineering, Chalmers University of Technology, 412 96 Göteborg, Sweden.ORCID 0000-0002-8357-758X
Mengyue LiDepartment of Microtechnology and Nanoscience, Chalmers University of Technology, 412 96 Göteborg, Sweden.
Yanyan ChenDepartment of Biology and Biological Engineering, Chalmers University of Technology, 412 96 Göteborg, Sweden.
Shadi RahimiDepartment of Biology and Biological Engineering, Chalmers University of Technology, 412 96 Göteborg, Sweden.ORCID 0000-0002-8376-9880
Vrss MokkapatiDepartment of Biology and Biological Engineering, Chalmers University of Technology, 412 96 Göteborg, Sweden.
Alessandra MerloDepartment of Biology and Biological Engineering, Chalmers University of Technology, 412 96 Göteborg, Sweden.
August YurgensDepartment of Microtechnology and Nanoscience, Chalmers University of Technology, 412 96 Göteborg, Sweden.ORCID 0000-0002-3038-1911
Ivan MijakovicDepartment of Biology and Biological Engineering, Chalmers University of Technology, 412 96 Göteborg, Sweden.

Funding

Novo Nordisk Foundation NNF10CC1016517Swedish Research Council 2020-04096
6 · The paper itself

Abstract

Microbial colonization to biomedical surfaces and biofilm formation is one of the key challenges in the medical field. Recalcitrant biofilms on such surfaces cause serious infections which are difficult to treat using antimicrobial agents, due to their complex structure. Early detection of microbial colonization and monitoring of biofilm growth could turn the tide by providing timely guidance for treatment or replacement of biomedical devices. Hence, there is a need for sensors, which could generate rapid signals upon bacterial colonization. In this study, we developed a simple prototype sensor based on pristine, non-functionalized graphene. The detection principle is a change in electrical resistance of graphene upon exposure to bacterial cells. Without functionalization with specific receptors, such sensors cannot be expected to be selective to certain bacteria. However, we demonstrated that two different bacterial species can be detected and differentiated by our sensor due to their different growth dynamics, adherence pattern, density of adhered bacteria and microcolonies formation. These distinct behaviors of tested bacteria depicted distinguishable pattern of resistance change, resistance versus gate voltage plot and hysteresis effect. This sensor is simple to fabricate, can easily be miniaturized, and can be effective in cases when precise identification of species is not needed.

Indexed as

GraphitePseudomonas aeruginosaAnti-Bacterial AgentsBacteriaBiofilmsAnti-Bacterial AgentsGraphitebiofilmsgraphenePseudomonas aeruginosasensorsStaphylococcus epidermidis

Identifiers

PMID34884089
PMCPMC8662450

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.