Evidence map›Paper›PMID 37110837›Full record

ReviewMolecules (Basel, Switzerland)2023

The Applications of Electrochemical Immunosensors in the Detection of Disease Biomarkers: A Review.

Huinan Chen, Jialu Zhang, Rong Huang, Dejia Wang, Dongmei Deng, Qixian Zhang, Liqiang Luo

Open access · goldAbstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
9.7field-weighted citation impact, top 1% 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

19 citing papers in PubMed, 63 citations in OpenAlex.

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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 at 1 institution in 1 country.

Huinan ChenCollege of Sciences, Shanghai University, Shanghai 200444, China.
Jialu ZhangSchool of Medicine, Shanghai University, Shanghai 200444, China.
Rong HuangCollege of Sciences, Shanghai University, Shanghai 200444, China.
Dejia WangCollege of Sciences, Shanghai University, Shanghai 200444, China.
Dongmei DengCollege of Sciences, Shanghai University, Shanghai 200444, China.
Qixian ZhangSchool of Materials Science and Engineering, Shanghai University, Shanghai 200436, China.
Liqiang LuoCollege of Sciences, Shanghai University, Shanghai 200444, China.ORCID 0000-0002-5551-3861
Shanghai University · CN

Funding

National Natural Science Foundation of China 61971274National Natural Science Foundation of China 62171268
6 · The paper itself

Abstract

Disease-related biomarkers may serve as indicators of human disease. The clinical diagnosis of diseases may largely benefit from timely and accurate detection of biomarkers, which has been the subject of extensive investigations. Due to the specificity of antibody and antigen recognition, electrochemical immunosensors can accurately detect multiple disease biomarkers, including proteins, antigens, and enzymes. This review deals with the fundamentals and types of electrochemical immunosensors. The electrochemical immunosensors are developed using three different catalysts: redox couples, typical biological enzymes, and nanomimetic enzymes. This review also focuses on the applications of those immunosensors in the detection of cancer, Alzheimer's disease, novel coronavirus pneumonia and other diseases. Finally, the future trends in electrochemical immunosensors are addressed in terms of achieving lower detection limits, improving electrode modification capabilities and developing composite functional materials.

Indexed as

Biosensing TechniquesCOVID-19BiomarkersElectrochemical TechniquesHumansImmunoassayBiomarkersbiomarkersdetectionelectrochemical immunosensorsnanomaterials

Identifiers

PMID37110837
PMCPMC10144570
OpenAlexW4366773103

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.