ArticleAdvanced healthcare materials2024
Freestanding Nanofiber-Assembled Aptasensor for Precisely and Ultrafast Electrochemical Detection of Alzheimer's Disease Biomarkers.
Article in Advanced healthcare materials, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.
- Molecular Biomarkers for Early Detection of Alzheimer's Disease and the Complementary Role of Engineered Nanomaterials: A Systematic Review.International journal of molecular sciences · 2025Pooled it
- Overview in Electrochemical and Electrical Biosensors for Determining Blood Protein Biomarkers of Alzheimer's Disease.Biosensors · 2026Review
- Review
- Biomaterials for biomarker imaging and detection.Journal of advanced research · 2026Review
- Inkjet-Printed Electrode Enable Portable Electrochemical Immunosensing of Tau-441 for Early Alzheimer's Screening.Biosensors · 2026Article
- Nanozymes Integrated Biochips Toward Smart Detection System.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Carbon Nanomaterial-Based Electrochemical Biosensors for Alzheimer's Disease Biomarkers: Progress, Challenges, and Future Perspectives.Biosensors · 2025Review
- Preparation Methods and Multifunctional Applications of Functionalized Electrospun Nanofibers for Biomedicine.Nanomaterials (Basel, Switzerland) · 2025Review
- A colorimetric nano-enzyme assay with Ni@Pt nanoparticles as signal labels for rapid and sensitive detection of exosomal Aβ42 in plasma.Mikrochimica acta · 2025Article
- Freestanding Nanofiber-Assembled Aptasensor for Precisely and Ultrafast Electrochemical Detection of Alzheimer's Disease Biomarkers.Advanced healthcare materials · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
Abstract
Amyloid beta-protein (AβAβ) is a main hallmark of Alzheimer's disease (AD), and a low amount of Aβ protein accumulation appears to be a potential marker for AD. Here, an electrochemical DNA biosensor based on polyamide/polyaniline carbon nanotubes (PA/PANI-CNTs) is developed with the aim of diagnosing AD early using a simple, low-cost, and accessible method to rapidly detect Aβ42 in human blood. Electrospun PA nanofibers served as the skeleton for the successive in situ deposition of PANI and CNTs, which contribute both high conductivity and abundant binding sites for the Aβ42 aptamers. After the aptamers are immobilized, this aptasensor exhibits precise and specific detection of Aβ42 in human blood within only 4 min with an extremely fast response rate, lower detection limit, and excellent linear detection range. These findings make a significant contribution to advancing the development of serum-based detection techniques for Aβ42, thereby paving the way for improved diagnostic capabilities in the field of AD.
Indexed as
Identifiers
What Socratic holds
Registered trials
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.