Evidence map›Paper›PMID 39269092›Full record

ArticleNanomaterials (Basel, Switzerland)2024

A Biocompatible, Highly Sensitive, and Non-Enzymatic Glucose Electrochemical Sensor Based on a Copper-Cysteamine (Cu-Cy)/Chitosan-Modified Electrode.

Huan Chen, Tingting Gu, Longyang Lv, Xing Chen, Qifeng Lu, Amer Kotb, Wei Chen

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2024. 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. Review
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.

Huan ChenSchool of Chemical Engineering, University of Science and Technology Liaoning, Anshan 114051, China.
Tingting GuSchool of Chemical Engineering, University of Science and Technology Liaoning, Anshan 114051, China.
Longyang LvSchool of Chemical Engineering, University of Science and Technology Liaoning, Anshan 114051, China.ORCID 0009-0009-0426-9182
Xing ChenSchool of Chemical Engineering, University of Science and Technology Liaoning, Anshan 114051, China.ORCID 0009-0008-7902-0317
Qifeng LuSchool of Chips, XJTLU Entrepreneur College (Taicang), Xi'an Jiaotong-Liverpool University, Taicang, Suzhou 215400, China.
Amer KotbSchool of Chips, XJTLU Entrepreneur College (Taicang), Xi'an Jiaotong-Liverpool University, Taicang, Suzhou 215400, China.ORCID 0000-0002-3776-822X
Wei ChenSchool of Chips, XJTLU Entrepreneur College (Taicang), Xi'an Jiaotong-Liverpool University, Taicang, Suzhou 215400, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A biocompatible, highly sensitive, and enzyme-free glucose electrochemical sensor was developed based on a copper-cysteamine (Cu-Cy)-modified electrode. The catalytically active biocompatible material Cu-Cy was immobilized on the electrode surface by the natural polymer chitosan (CTS). The electrochemical characterization and glucose response of the Cu-Cy/CTS/glassy carbon electrode (GCE) were investigated by electrochemical impedance spectroscopy (EIS), cyclic voltammetry (CV), and constant potential amperometry. The significant electrocatalytic activity of Cu-Cy to the oxidation of glucose in an alkaline environment was revealed. Several crucial parameters, including the number of scanning cycles for electrode activation, applied potential, and the contents of Cu-Cy and chitosan, were investigated to understand their impact on the sensor's response. The proposed sensing platform exhibited linear ranges of 2.7 μM to 1.3 mM and 1.3 mM to 7.7 mM for glucose detection, coupled with high sensitivity (588.28 and 124.42 μA·mM

Indexed as

copper-cysteamine (Cu-Cy)electrochemical sensorenzyme-freeglucose

Identifiers

PMID39269092
PMCPMC11397198

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Registered trials

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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.