Evidence map›Paper›PMID 34413450›Full record

ArticleScientific reports2021

Polyaza functionalized graphene oxide nanomaterial based sensor for Escherichia coli detection in water matrices.

Lina Rose, X Anitha Mary, I Johnson, Ganesh Srinivasan, Lakshmi Priya, Jebasingh Bhagavathsingh

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

6 authors.

Lina RoseDepartment of Biomedical Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, 641 114, India.
X Anitha MaryDepartment of Robotics Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, 641 114, India.
I JohnsonDepartment of Millets, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, 641003, India.
Ganesh SrinivasanDepartment of Applied Chemistry, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, 641 114, India.
Lakshmi PriyaDepartment of Applied Chemistry, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, 641 114, India.
Jebasingh BhagavathsinghDepartment of Applied Chemistry, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, 641 114, India. jebasinghb@karunya.edu.ORCID 0000-0003-3405-6208

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Water quality is widely discussed owing to its significance in public health due to the inability to access clean water. Waterborne diseases account for the presence of pathogens like Escherichia coli (E. coli) in drinking water in the environmental community. Owing to the rapid increase of such bacterial microorganisms, a cost-effective sensor setup has been developed. Herein, we demonstrate the amine-functionalized graphene oxide (fGO) based 2D nanomaterial used to graft E. coli on its surface. The comparative analysis of the deposition of nanosheets on the glass substrate and PDMS was executed. The impedance variations of GO-based nanosensor at various concentrations of E. coli were performed and their potential difference was recorded. It was observed that the impedance changes inversely with the bacterial concentrations and was fed to the Arduino microcontroller. The experimental setup was standardized for the range of 0.01 Hz to 100 kHz. The obtained analog data was programmed with a microcontroller and the bacterial concentration in colony-forming units was displayed. The real-time analysis showsthe low-level detection of E. coli in aquatic environments. Experiments were conducted using the developed nanosensor to test the efficiency in complex water matrices and whose behavior changes with various physical, chemical, and environmental factors.

Identifiers

PMID34413450
PMCPMC8377045

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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.