Evidence map›Paper›PMID 35223774›Full record

ArticleFrontiers in chemistry2022

Boosting the Electrochemical Performance of PI-5-CA/C-SWCNT Nanohybrid for Sensitive Detection of

Huan Wang, Yanmiao Fan, Qiaoli Yang, Xiaoyu Sun, Hao Liu, Wei Chen, Ayesha Aziz, Shenqi Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in chemistry, 2022. 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

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

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

8 authors.

Huan WangAdvanced Biomaterials and Tissue Engineering Center, College of Life Science and Technology, Huazhong University of Life Science and Technology, Wuhan, China.
Yanmiao FanSchool of Chemical Science and Engineering Fiber and Polymer Technology, KTH Royal Institute of Technology, Stockholm, Sweden.
Qiaoli YangAdvanced Biomaterials and Tissue Engineering Center, College of Life Science and Technology, Huazhong University of Life Science and Technology, Wuhan, China.
Xiaoyu SunAdvanced Biomaterials and Tissue Engineering Center, College of Life Science and Technology, Huazhong University of Life Science and Technology, Wuhan, China.
Hao LiuAdvanced Biomaterials and Tissue Engineering Center, College of Life Science and Technology, Huazhong University of Life Science and Technology, Wuhan, China.
Wei ChenAdvanced Biomaterials and Tissue Engineering Center, College of Life Science and Technology, Huazhong University of Life Science and Technology, Wuhan, China.
Ayesha AzizAdvanced Biomaterials and Tissue Engineering Center, College of Life Science and Technology, Huazhong University of Life Science and Technology, Wuhan, China.
Shenqi WangAdvanced Biomaterials and Tissue Engineering Center, College of Life Science and Technology, Huazhong University of Life Science and Technology, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Redox activity is an important indicator for evaluating electrochemical biosensors. In this work, we have successfully polymerized indole-5-carboxylic acid into poly-5-carboxyindole nanomaterials (PI-5-CA), using its superior redox activity, and introduced carboxylated single-walled carbon nanotubes (C-SWCNTs) to synthesize a composite material. Finally, a synthesized composite material was used for the modification of the glass carbon electrode to fabricate the PI-5-CA/C-SWCNTs/GCE-based immunosensor and was successfully applied for the sensitive detection of

Indexed as

carboxylated single-walled carbon nanotubesE. coli O157:H7electrochemical immunosensorindole-5-carboxylic acidplate counting methodpoly-5-carboxyindole

Identifiers

PMID35223774
PMCPMC8866332

What OpenQuestion holds

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LicenceCC BY
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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.