Evidence map›Paper›PMID 39955684›Full record

ArticleMikrochimica acta2025

Enhanced Alzheimer's biomarker detection using a ternary composite electrochemical aptasensor.

Zelong Fan, Lingling Yuan, Tingcheng Xia, Chengxian Zhao, Wenjuan Guo, Ahmed A Ibrahim, Sajid Ali Ansari, Ahmad Umar

Abstract read
PubMed Publisher
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. 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. Review
  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

8 authors.

Zelong FanSchool of Chemistry and Chemical Engineering, University of Jinan, Jinan, 250022, China.
Lingling YuanSchool of Chemistry and Chemical Engineering, University of Jinan, Jinan, 250022, China.
Tingcheng XiaShandong Labor Vocational and Technical College, Jinan, 250022, China.
Chengxian ZhaoSchool of Chemistry and Chemical Engineering, University of Jinan, Jinan, 250022, China.
Wenjuan GuoSchool of Chemistry and Chemical Engineering, University of Jinan, Jinan, 250022, China. chm_guowj@ujn.edu.cn.
Ahmed A IbrahimDepartment of Chemistry, Faculty of Science and Arts, Promising Centre for Sensors and Electronic Devices, Najran University, Najran, 11001, Kingdom of Saudi Arabia.
Sajid Ali AnsariDepartment of Physics, College of Science, King Faisal University, P.O. Box 400, 31982, Al-Ahsa, Saudi Arabia.
Ahmad UmarDepartment of Chemistry, Faculty of Science and Arts, Promising Centre for Sensors and Electronic Devices, Najran University, Najran, 11001, Kingdom of Saudi Arabia. ahmadumar786@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of a highly sensitive electrochemical aptasensor is reported that combines the unique properties of graphene, metallic oxides, and conducting polymers to overcome the limitations of sensitivity and specificity required for early diagnosis of Alzheimer's desease (AD). The sensor design utilizes a ternary composite of polypyrrole (PPy), reduced graphene oxide (rGO), and Fe₂O₃ nanoparticles, which synergistically enhance signal amplification, conductivity, and biocompatibility. The aptasensor leverages aptamers as biorecognition elements for the specific detection of Aβ1-40 oligomers. Electrochemical techniques, including cyclic voltammetry (CV), differential pulse voltammetry (DPV), and electrochemical impedance spectroscopy (EIS), were employed to characterize and evaluate the sensor's performance. The fabricated aptasensor demonstrated an extraordinary detection limit of 40 fM and a broad linear detection range from 0.1 pM to 200 nM, with exceptional sensitivity and selectivity. Furthermore, the sensor exhibited excellent reproducibility and stability, essential for real-world clinical applications. Real-sample testing using artificial serum further validated the aptasensor's reliability, showcasing its potential for early diagnosis and monitoring of AD. The robust platform and modular design of the sensor also pave the way for its adaptation to detect other target biomolecules by simply modifying the aptamer. This work represents a significant advancement in biosensor technology, offering a versatile, highly sensitive tool for biomedical diagnostics and personalized medicine.

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesAptamers, NucleotideBiosensing TechniquesElectrochemical TechniquesPeptide FragmentsBiomarkersGraphiteHumansLimit of DetectionPolymersPyrrolesReproducibility of ResultsAmyloid beta-Peptidesamyloid beta-protein (1-40)Aptamers, NucleotideBiomarkersgraphene oxideGraphitePeptide FragmentsPolymerspolypyrrolePyrrolesAlzheimer's diseaseAptasensorAβ1-40 oligomersConducting polymersCVDPVEISGrapheneMetallic oxidesModified glassy carbon electrode

Identifiers

What OpenQuestion holds

Textmetadata
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.