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Label-Free SERS Sensing of Native Aβ with Aptamer-Modified Mesoporous Gold and Gold-Coated Magnetic Nanoparticles Using a Clinical Cohort

材料科学 检出限 纳米技术 拉曼散射 分析物 聚乙二醇 介孔二氧化硅 磁性纳米粒子 免疫分析 纳米颗粒 适体 胶体金 单层 临床诊断 介孔材料 拉曼光谱 生物医学工程 纳米结构
作者
Abubakkar Khan,Jiawei Shen,Aiman Zahid,Cancan Hu,Xuhua Xu,Xiaoyu Cheng
出处
期刊:ACS Applied Materials & Interfaces [American Chemical Society]
卷期号:18 (3): 4855-4864 被引量:4
标识
DOI:10.1021/acsami.5c21679
摘要

Label-free surface-enhanced Raman scattering (SERS) exhibits potential for liquid biopsies but requires further developments with clinical translations. Here, we demonstrate a label-free SERS immunoassay for quantifying amyloid beta (Aβ) using a clinical cohort of Alzheimer's disease (AD), featuring robustness, speed, and economical and clinical validity. This was demonstrated using a gap-mode SERS with aptamer-modified mesoporous gold (mesoAu) and gold-coated magnetic nanoparticles (Au@MNPs). The mesoAu substrate was prepared by electrodeposition with pore sizes tuned between 30 and 70 nm, and the Au@MNPs were synthesized by hydrothermal methods. A self-assembled monolayer with a mixture of polyethylene glycol (PEG) and DNA aptamers was modified onto the surface of gold, reducing nonspecific adsorptions and enabling target recognition to allow measurements in complex media. Using the intrinsic SERS fingerprints of phenylalanine (Phe), which are orthogonal to the DNA aptamer, it is shown that this assay is capable of quantifying Aβ42 in cerebrospinal fluid (CSF) in a label-free manner, with a limit of detection (LoD) of ∼0.15 pM, an assay time of ∼20 min, and cost less than ∼$10. The assay was further demonstrated using a clinical cohort containing 30 cerebral spinal fluid (CSF) samples of AD, mild cognitive impairment (MCI), and controls. The results showed clinical validity in differentiating the groups. Due to the simplicity and robustness of the assay, it is expected that this work will pave the way for label-free SERS bioassays for early diagnosis of major diseases using molecular biomarkers.
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