Detection of amyloid-beta by Fmoc-KLVFF self-assembled fluorescent nanoparticles for Alzheimer’s disease diagnosis
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Protein-based nanoparticles provide benefits including simple synthesis, high binding capacity for different medications, non-toxicity, non-immunogenicity, biocompatibility, biodegradability, and plasma half-life.
“Protein-based nanoparticles provide a number of benefits, including simple synthesis, a high binding capacity for different medications, non-toxicity, non-immunogenicity, biocompatibility, biodegradability, and plasma half-life.56–58”
From Smart nanoparticles for cancer therapy (2023) · cites this paper as [58]
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References 29 · Cited by 45
- Authors
- Liu, D., Fu, D., Zhang, L., & Sun, L.
- Affiliations
- Northwestern Polytechnical University (CN)
- Corresponding author
- Sun, Leming
- Venue
- Chinese Chemical Letters
- Publisher
- Elsevier BV
- Published
- 2021-03
- Volume
- 32
- Issue
- 3
- Pages
- 1066-1070
- ISSN
- 1001-8417 (ISSN-L)
- OpenAlex
- W3084288334
- Cited by
- 45
- References
- 29
- Citations by year
- 2026: 3 · 2025: 3 · 2024: 8 · 2023: 13 · 2022: 8 · 2021: 10
- FWCI
- 4.66
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Chinese Chemical Letters (publishedVersion)
- Funders
- Natural Science Foundation of Shaanxi Province
- National Natural Science Foundation of China
- China Postdoctoral Science Foundation
- Topics
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Physical Sciences › Chemistry › Spectroscopy › Molecular Sensors and Ion Detection
- Physical Sciences › Materials Science › Biomaterials › Supramolecular Self-Assembly in Materials
- Keywords
- amyloid-beta, Alzheimer's disease, KLVFF peptide, fluorescent nanoparticles, self-assembly, zinc coordination, π-π stacking, amyloid fibril formation, nanoprobes, amyloid-beta detection, disease diagnosis
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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