Evidence map›Paper›PMID 36235265›Full record

ArticleMolecules (Basel, Switzerland)2022

Ultrathin Covalent Organic Framework Nanosheets/Ti

Nanjun Li, Chongyang Wang, Liangjun Chen, Cui Ye, Yongwu Peng

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2022. 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
–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

7 citing papers in PubMed.

  1. Review
  2. EuMikrochimica acta · 2024
    Article
  3. A Label-Free Photoelectrochemical Biosensor Based on ZnO/CsNanomaterials (Basel, Switzerland) · 2024
    Article
  4. Review
  5. MagneticMolecules (Basel, Switzerland) · 2023
    Article
  6. Review
  7. 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

5 authors.

Nanjun LiCollege of Materials Science and Engineering, Zhejiang University of Technology, Hangzhou 310014, China.
Chongyang WangCollege of Materials Science and Engineering, Zhejiang University of Technology, Hangzhou 310014, China.
Liangjun ChenCollege of Materials Science and Engineering, Zhejiang University of Technology, Hangzhou 310014, China.
Cui YeCollege of Materials Science and Engineering, Zhejiang University of Technology, Hangzhou 310014, China.
Yongwu PengCollege of Materials Science and Engineering, Zhejiang University of Technology, Hangzhou 310014, China.ORCID 0000-0003-4760-5173

Funding

China Postdoctoral Science Foundation 2021M692863Leading Innovative and Entrepreneur Team Introduction Program of Zhejiang 2020R01002National Natural Science Foundation of China 21904116Natural Science Foundation of Zhejiang Provincial LY22B050007
6 · The paper itself

Abstract

Designable and ultrathin covalent organic framework nanosheets (CONs) with good photoelectric activity are promising candidates for the construction of photoelectrochemical (PEC) biosensors for the detection of low-abundance biological substrates. However, achieving highly sensitive PEC properties by using emerging covalent organic framework nanosheets (CONs) remains a great challenge due to the polymeric nature and poor photoelectric activity of CONs. Herein, we report for the first time the preparation of novel composites and their PEC sensing properties by electrostatic self-assembly of ultrathin CONs (called TTPA-CONs) with Ti

Indexed as

Biosensing TechniquesMetal-Organic FrameworksElectrochemical TechniquesHumansLimit of DetectionMaleProstate-Specific AntigenTissue Plasminogen ActivatorTitaniumMetal-Organic FrameworksProstate-Specific AntigenTissue Plasminogen ActivatorTitaniumcompositescovalent organic framework nanosheetsphotoelectrochemical biosensorprostate-specific antigenTi3C2Tx

Identifiers

PMID36235265
PMCPMC9572316

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.