2016
DOI: 10.3233/jad-160253
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Biofunctionalized Silica Nanoparticles: Standards in Amyloid-β Oligomer-Based Diagnosis of Alzheimer’s Disease

Abstract: Amyloid-β (Aβ) oligomers represent a promising biomarker for the early diagnosis of Alzheimer's disease (AD). However, state-of-the-art methods for immunodetection of Aβ oligomers in body fluids show a large variability and lack a reliable and stable standard that enables the reproducible quantitation of Aβ oligomers. At present, the only available standard applied in these assays is based on a random aggregation process of synthetic Aβ and has neither a defined size nor a known number of epitopes. In this rep… Show more

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Cited by 35 publications
(37 citation statements)
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“…Since then, the sFIDA method underwent fundamental optimization in respect to automation , adaptation to blood‐based analysis and development of a suitable calibration standards .…”
Section: Main Textmentioning
confidence: 99%
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“…Since then, the sFIDA method underwent fundamental optimization in respect to automation , adaptation to blood‐based analysis and development of a suitable calibration standards .…”
Section: Main Textmentioning
confidence: 99%
“…A second route for obtaining stable standards is to use bioconjugated nanoparticles . In this method, nanoparticles with a narrow size range are synthesized as core material, which determines the final size of the oligomer (Fig.…”
Section: Main Textmentioning
confidence: 99%
See 1 more Smart Citation
“…Aβ-SiNaPs were prepared as described previously (Hülsemann et al, 2016). Briefly, bare silica nanoparticles (SiNaPs) were synthesized via Stöber process and silanized with APTES to cover the surface with primary amino groups.…”
Section: Silica Nanoparticles Coated With Aβ 1-42 (Aβ-sinaps)mentioning
confidence: 99%
“…Aβ-SiNaPs have been shown to be a suitable standard in Aβ oligomer quantitation due to their uniform size and defined number of accessible epitopes. Moreover, the particles are not prone to aggregation and are stable over several months (Hülsemann et al, 2016).…”
Section: Introductionmentioning
confidence: 99%