A Buoyant Plasmonic Microbubble-based SERS Sensing platform for Amyloid-beta Protein Detection in Alzheimer’s Disease

Abstract

Amyloid-β (Aβ) plaques are a key pathological hallmark of Alzheimer’s disease (AD), highlighting the need for highly sensitive bioassays for Aβ detection to enable AD diagnosis. Here, we synthesized a buoyant plasmonic substrate composed of polyvinyl alcohol microbubbles (MBs) decorated with in situ-reduced gold nanoparticles (Au NPs). Benefiting from its inherent buoyancy and near-infrared plasmonic properties, the Au/MB substrate serves as an ideal platform for biomolecular sensing via the surface-enhanced Raman spectroscopy (SERS) technique. Compared to conventional flat SERS substrates, the three-dimensional (3D) curved surface of the Au/MB substrate significantly increases the effective sensing area, while its inherent buoyancy facilitates the efficient removal of unbound targets, thereby enhancing detection specificity. By functionalizing Au/MB substrates with copper ions (Cu²⁺) and 4-mercaptobenzoic acid (4-MBA), we achieved sensitive detection of AD-related Aβ proteins. In the presence of the target analyte, the interaction between Aβ proteins and Cu²⁺ induces molecular deformation and orientation changes in 4-MBA, leading to distinct spectral changes in the SERS signals. The results demonstrate that the developed Au/MB-based SERS sensor enables sensitive detection of Aβ₁₋₄₀ oligomers with a sensitivity as low as 10⁻⁹ M. Therefore, this work not only establishes a foundational framework for designing buoyant plasmonic substrate-based SERS sensing platform but also paves the way for the quantitative detection of disease-associated protein biomarkers, contributing to advancements in AD diagnostics.

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Article information

Article type
Paper
Submitted
20 Mar 2025
Accepted
22 Jun 2025
First published
24 Jun 2025
This article is Open Access
Creative Commons BY license

J. Mater. Chem. B, 2025, Accepted Manuscript

A Buoyant Plasmonic Microbubble-based SERS Sensing platform for Amyloid-beta Protein Detection in Alzheimer’s Disease

K. H. W. Ho, Q. ZHANG, F. Zhorabe, J. Yan, Y. Gu, S. E. WANG, C. Yi, Y. Zhang and M. Yang, J. Mater. Chem. B, 2025, Accepted Manuscript , DOI: 10.1039/D5TB00632E

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