Evidence mapPaperPMID 40593114Full record

ArticleScientific reports2025

An enzyme-free electrochemical biosensor for sensitive and specific detection of microRNA-21 based on target recycling amplification and non-linear hybridization chain reaction.

Jing Guo, Shou-Feng Zhao, Shuang Chen, Wei-Qing Song, Li-Qun Li

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

5 authors.

Jing GuoDepartment of Clinical Laboratory, Qingdao Hospital, University of Health and Rehabilitation Sciences (Qingdao Municipal Hospital), No.1, Jiaozhou Road, Qingdao, 266000, Shandong, P R China.
Shou-Feng ZhaoDepartment of Clinical Laboratory, Qingdao Hospital, University of Health and Rehabilitation Sciences (Qingdao Municipal Hospital), No.1, Jiaozhou Road, Qingdao, 266000, Shandong, P R China.
Shuang ChenDepartment of Clinical Laboratory, Qingdao Hospital, University of Health and Rehabilitation Sciences (Qingdao Municipal Hospital), No.1, Jiaozhou Road, Qingdao, 266000, Shandong, P R China.
Wei-Qing SongDepartment of Clinical Laboratory, Qingdao Hospital, University of Health and Rehabilitation Sciences (Qingdao Municipal Hospital), No.1, Jiaozhou Road, Qingdao, 266000, Shandong, P R China. songweiqing68@126.com.
Li-Qun LiDepartment of Clinical Laboratory, Qingdao Hospital, University of Health and Rehabilitation Sciences (Qingdao Municipal Hospital), No.1, Jiaozhou Road, Qingdao, 266000, Shandong, P R China. liiqun99@126.com.

Funding

2023 Shandong Medicine and Health Science and technology project 2023020502932023 Shandong Medicine and Health Science and technology project 2023110004322024 Shandong Medicine and Health Science and technology project 202403020702Medicine and Health Scientific Research program of Qingdao in 2023 2023-WJZD181
6 · The paper itself

Abstract

A novel electrochemical biosensor with high amplification efficiency was explored for serum microRNA-21 (miRNA-21) detection. This biosensor consisted of the target recycling amplification (TRA) and non-linear hybridization chain reaction (NHCR). When the target miRNA-21 was presented, hairpin probe 1 (HP

Indexed as

Biosensing TechniquesElectrochemical TechniquesMicroRNAsNucleic Acid HybridizationHumansLimit of DetectionNucleic Acid Amplification TechniquesMicroRNAsMIRN21 microRNA, humanElectrochemical biosensorEnzyme-freeMicroRNANon-linear hybridization chain reactionSignal amplificationTarget recycling amplification

Identifiers

PMID40593114
PMCPMC12217307

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.