Hierarchical Mesochannel-Confined Nanozyme Reactors Propelling Gold Amplification Immunoassays for Ultrasensitive Point-of-Care Diagnostics

纳米技术 检出限 介孔二氧化硅 化学 胶体金 介孔材料 多路复用 纳米颗粒 材料科学 纳米医学 临床诊断 化学发光 纳米材料 等离子体子 等离子纳米粒子 生物医学工程 分析物 光热治疗 生物分析
作者
Huan Cai,Zhujun Ai,Xin Gao,Hongrong Tang,Bo Shen,Jia Shu,Guangjun Xiao,Yan Zhao,K E Yang,Xing Pan,Juan Li,Shijia Ding,Rui Chen
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:98 (18): 13650-13664
标识
DOI:10.1021/acs.analchem.6c00438
摘要

Ultrasensitive, rapid, stable, and user-friendly point-of-care (POC) diagnostic technologies are imperative for disease screening and home healthcare. Herein, we propose a novel hierarchically mesoporous channel-confined nanozyme reactor (FeMPPt) as an enrichment-confinement nanoreactor to enhance gold plasmonic signal amplification, significantly boosting the sensitivity and stability of visual lateral flow immunoassays (vLFIAs) for ultrasensitive dual-mode (qualitative/quantitative) detection of multiplex disease biomarkers. The FeMPPt with high colorimetric signal brightness was synthesized through a spatially controlled assembly of polydopamine flexible scaffolds and platinum nanozymes within the hierarchical mesochannels of 3D magnetically core-shelled dendritic mesoporous silica. Through electrostatic adsorption, high-specific-surface-area interception, and mesoporous confinement catalysis, 125- and 5-fold enhancements were achieved compared to conventional gold nanoparticles (AuNPs) and nonporous nanozymes of almost equivalent size, respectively. The limit of detection for FeMPPt-labeled vLFIA for qualitative/quantitative detection of cardiac troponin I and alpha-fetoprotein was 125/230-fold and 1300/1300-fold lower than that for AuNP-labeled vLFIA, respectively. In addition, clinical practicality was validated using 234 serum samples from clinical laboratories and 34 samples from emergency departments, with quantitative performance comparable/superior to standard/miniaturized chemiluminescence immunoassay systems, demonstrating its considerable potential for real-time disease biomarker detection in both clinical and POC settings.
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