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Electrochemical Biosensors Combined with Nanomaterial Signal Amplification for the Detection of Alzheimer's Disease Biomarkers in Blood
Peng L, Xie X, Chen X, Chen C.. ACS sensors, 2025-09-08
Topic: Amyloid, tau and blood-test diagnosis
Alzheimer's disease (AD) is a progressive neurodegenerative disorder primarily characterized by cognitive decline and behavioral impairments, typically manifesting in the elderly and presenile population. With the rapid global aging trend, early diagnosis and treatment of AD have become increasingly urgent research priorities. The primary pathological features of AD include excessive accumulation of β-amyloid (Aβ) plaques, the formation of neurofibrillary tangles, and neuronal loss. Conventional diagnostic techniques, such as positron emission tomography-computed tomography (PET-CT) and cerebrospinal fluid (CSF) analysis, are limited by their high cost and invasiveness. As a result, there is growing interest in developing blood-based biomarker assays for AD detection. Electrochemical biosensors offer notable advantages in this context, including high sensitivity, low cost, and minimally invasive sampling. However, due to the extremely low concentrations of AD-related biomarkers in blood, signal amplification is necessary. The incorporation of nanomaterials significantly enhances the sensitivity and performance of the electrochemical biosensors. This Perspective highlights the application of various nanomaterial-enhanced electrochemical biosensors in the early diagnosis and disease monitoring of AD, underscoring their potential in advancing AD prevention, diagnosis, and therapeutic strategies.
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APA 7th
Peng, L., Xie, X., Chen, X., & Chen, C. (2025). Electrochemical Biosensors Combined with Nanomaterial Signal Amplification for the Detection of Alzheimer's Disease Biomarkers in Blood. ACS sensors. https://doi.org/10.1021/acssensors.5c02453
Vancouver
Peng L, Xie X, Chen X, Chen C. Electrochemical Biosensors Combined with Nanomaterial Signal Amplification for the Detection of Alzheimer's Disease Biomarkers in Blood. ACS sensors. 2025. doi:10.1021/acssensors.5c02453. PMID: 40920073.
BibTeX
@article{peng2025-40920073,
author = {Peng, L. and Xie, X. and Chen, X. and Chen, C.},
title = {{Electrochemical Biosensors Combined with Nanomaterial Signal Amplification for the Detection of Alzheimer's Disease Biomarkers in Blood}},
journal = {ACS sensors},
year = {2025},
doi = {10.1021/acssensors.5c02453},
pmid = {40920073},
url = {https://doi.org/10.1021/acssensors.5c02453}
}
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Key findings
- As a result, there is growing interest in developing blood-based biomarker assays for AD detection.
- The incorporation of nanomaterials significantly enhances the sensitivity and performance of the electrochemical biosensors.
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Study details
- Evidence strengthLow
How this study scored 41/100
Published in a peer-reviewed journal. Scored zero for study design, sample size, effect reported, studied in people and randomised / blinded because the record does not state it. We have no data on journal's citation record, times cited, citations per year, impact for its field and year, cited by studies here, still being cited, senior author's track record, institution's track record and multi-centre collaboration, so those were left out: it earned 24 of the 58 points we could judge it on, which is 41 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (ACS sensors) |
| Journal's citation record | — / 4 | No journal record from OpenAlex — left out of this score |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| Strength of evidence | 1 / 5 | Rated “low” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 4 / 5 | 2025 — within 3 year(s) of the newest study here |
| Sample size | 0 / 4 | Participant count not stated — scores zero (not stated in the record — scored 0) |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 0 / 3 | Not stated whether this was studied in people — scores zero (not stated in the record — scored 0) |
| Randomised / blinded | 0 / 2 | No randomisation or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | — / 7 | No citation count (not found in OpenAlex) — left out of this score |
| Citations per year | — / 5 | No citation count or no year — left out of this score |
| Impact for its field and year | — / 6 | No field-weighted citation impact (OpenAlex has none yet) — left out of this score |
| Cited by studies here | — / 6 | Not yet checked against this library's citation graph — left out of this score |
| Still being cited | — / 4 | No yearly citation counts — left out of this score |
| Senior author's track record | — / 4 | Senior author's record not available — left out of this score |
| Institution's track record | — / 3 | No institution listed in OpenAlex — left out of this score |
| Multi-centre collaboration | — / 3 | Institutions not listed — left out of this score |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 40920073) |
| Free to read | 0 / 2 | Behind a paywall — scores zero |
| Points | 24 / 58 | Scored on 11 of 20 parts. We have no data for the rest, so they are left out: 24 of the 58 points we could judge it on is 41 out of 100. |
| Total | 41 / 100 | — |
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