Evidence map›Paper›PMID 36831993›Full record

ArticleBiosensors2023

Visual/Photoelectrochemical Off-On Sensor Based on Cu/Mn Double-Doped CeO

Huihui Shi, Yanfei Che, Yumeng Rong, Jiajun Wang, Yanhu Wang, Jinghua Yu, Yan Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biosensors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Photoelectrochemical biosensor based on SiWFrontiers in bioengineering and biotechnology · 2023
    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.

Huihui ShiSchool of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, China.
Yanfei CheSchool of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, China.
Yumeng RongSchool of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, China.
Jiajun WangSchool of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, China.
Yanhu WangShandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, China.
Jinghua YuSchool of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, China.ORCID 0000-0001-5043-0322
Yan ZhangSchool of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, China.ORCID 0000-0002-1936-4619

Funding

Excellent Youth Innovation Team in Universities of Shandong 2021KJ021National Natural Science Foundation of China 21874055National Natural Science Foundation of China 21904047Open Fund of Key Laboratory of Optic-electric Sensing and Analytical Chemistry for Life Science, MOE, Qingdao University of Science and Technology M2023-5Taishan Scholars Program tsqn202103082
6 · The paper itself

Abstract

An integrated dual-signal bioassay was devised to fulfil thrombin (TB) ultrasensitive detection by integrating visualization with the photoelectrochemical technique based on G-quadruplex/hemin. During the process, branched sheet embedded copper-based oxides prepared with illumination and alkaline condition play a vital role in obtaining the desirable photocurrent. The switchover of photoelectrochemical signal was realized by the adjustable distance between electron acceptor G-quadruplex/hemin and interface materials due to dissociation of the Cu/Mn double-doped cerium dioxide (CuMn@CeO

Indexed as

Biosensing TechniquesHeminCopperElectrochemical TechniquesLimit of DetectionReproducibility of ResultsCoppercupric oxidecuprous oxideHemincolorimetricCu2O/CuOCuMn@CeO2paper-based devicephotoelectrochemicalthrombin

Identifiers

PMID36831993
PMCPMC9954256

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.