Evidence map›Paper›PMID 41094207›Full record

ArticleMikrochimica acta2025

A ratio electrochemiluminescence sensor for monitoring amyloid-beta based on g-C

Zixuan Chen, Shuhui Ma, Chujun Wang, Jie Liu, Xiaoyan Yang

Abstract read
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In one paragraph

Article in Mikrochimica acta, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Zixuan Chen *Key Laboratory of Optic-electric Sensing and Analytical Chemistry for Life Science, MOE, College of Chemistry and Molecular Engineering, Analytical & Testing Center, Qingdao University of Science and Technology, Qingdao, 266042, People's Republic of China.
Shuhui Ma *Key Laboratory of Optic-electric Sensing and Analytical Chemistry for Life Science, MOE, College of Chemistry and Molecular Engineering, Analytical & Testing Center, Qingdao University of Science and Technology, Qingdao, 266042, People's Republic of China.
Chujun WangKey Laboratory of Optic-electric Sensing and Analytical Chemistry for Life Science, MOE, College of Chemistry and Molecular Engineering, Analytical & Testing Center, Qingdao University of Science and Technology, Qingdao, 266042, People's Republic of China.
Jie LiuKey Laboratory of Optic-electric Sensing and Analytical Chemistry for Life Science, MOE, College of Chemistry and Molecular Engineering, Analytical & Testing Center, Qingdao University of Science and Technology, Qingdao, 266042, People's Republic of China. zsuliujie@163.com.
Xiaoyan YangKey Laboratory of Optic-electric Sensing and Analytical Chemistry for Life Science, MOE, College of Chemistry and Molecular Engineering, Analytical & Testing Center, Qingdao University of Science and Technology, Qingdao, 266042, People's Republic of China. xyang@qust.edu.cn.

Funding

Natural Science Foundation of Shandong Province ZR2023MB083
6 · The paper itself

Abstract

Monitoring of the amyloid-beta (Aβ) peptide is crucial for the diagnosis and treatment of Alzheimer's disease. Here, a label-free, signal-on ratiometric electrochemiluminescence (ECL) aptasensor was fabricated for the detection of Aβ peptide. Specifically, graphite-like carbon nitride (g-C

Indexed as

Amyloid beta-PeptidesBiosensing TechniquesElectrochemical TechniquesLuminescent MeasurementsLuminolNitrilesAniline CompoundsAptamers, NucleotideElectrodesGoldGraphiteHumansLimit of DetectionMetal NanoparticlesTin CompoundsAmyloid beta-PeptidesAniline CompoundsAptamers, NucleotidecyanogenGoldGraphiteLuminolNitrilespolyanilineTin CompoundsAmyloid-betaElectrochemiluminescenceg-C3N4-hemeLuminolRatiometric ECL

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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.