Evidence map›Paper›PMID 36290946›Full record

ReviewBiosensors2022

Progress in the Development of Biosensors Based on Peptide-Copper Coordination Interaction.

Gang Liu, Ning Xia, Linxu Tian, Zhifang Sun, Lin Liu

Open access · goldAbstract readReview
In one paragraph

Review in Biosensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.8field-weighted citation impact, top 16% of its field
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

6 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. 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 at 2 institutions in 1 country.

Gang LiuCollege of Chemistry and Chemical Engineering, Anyang Normal University, Anyang 455000, China.
Ning XiaCollege of Chemistry and Chemical Engineering, Anyang Normal University, Anyang 455000, China.ORCID 0000-0003-0366-7524
Linxu TianCollege of Chemistry and Chemical Engineering, Anyang Normal University, Anyang 455000, China.
Zhifang SunCollege of Chemistry and Chemical Engineering, Anyang Normal University, Anyang 455000, China.
Lin LiuCollege of Chemistry and Chemical Engineering, Anyang Normal University, Anyang 455000, China.ORCID 0000-0001-7982-6005
Anyang Normal University · CNHenan University of Technology · CN

Funding

National Natural Science Foundation of China 21905002the Program for Innovative Research Team of Science and Technology in the University of Henan Province 21IRTSTHN005
6 · The paper itself

Abstract

Copper ions, as the active centers of natural enzymes, play an important role in many physiological processes. Copper ion-based catalysts which mimic the activity of enzymes have been widely used in the field of industrial catalysis and sensing devices. As an important class of small biological molecules, peptides have the advantages of easy synthesis, excellent biocompatibility, low toxicity, and good water solubility. The peptide-copper complexes exhibit the characteristics of low molecular weight, high tenability, and unique catalytic and photophysical properties. Biosensors with peptide-copper complexes as the signal probes have promising application prospects in environmental monitoring and biomedical analysis and diagnosis. In this review, we discussed the design and application of fluorescent, colorimetric and electrochemical biosensors based on the peptide-copper coordination interaction.

Indexed as

Biosensing TechniquesCopperIonsPeptidesWaterCopperIonsPeptidesWatercolorimetrycopper ionelectrochemical biosensorfluorescent assaypeptide

Identifiers

PMID36290946
PMCPMC9599103
OpenAlexW4303613685

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.