Plasmonics-Enhanced Dual-Modal Colorimetric and Photothermal Lateral Flow Immunoassay Using Gold Nanocages

纳米笼 化学 光热治疗 等离子体子 免疫分析 纳米技术 表面等离子共振 光学 纳米颗粒 有机化学 材料科学 物理 抗体 免疫学 生物 催化作用
作者
Supriya Atta,Yuanhao Zhao,Sebastian Sanchez,Sabina V. Yampolsky,Tuan Vo‐Dinh
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:97 (12): 6427-6437 被引量:18
标识
DOI:10.1021/acs.analchem.4c05384
摘要

Lateral flow immunoassays (LFIA) are widely recognized as cost-effective point-of-care diagnostic tools (POCT) for infectious disease diagnosis. Despite their widespread use, traditional colorimetric LFIAs, which rely on gold nanospheres (GNP), are constrained by a limited sensitivity. To overcome this challenge, we have engineered gold nanocages (GNCs) with optimized core-to-shell morphologies, achieving significant amplification of both colorimetric and photothermal LFIA readout signals. The distinctive morphology of GNCs, featuring adjustable core-to-shell gap thicknesses, enables fine-tuning of the localized surface plasmon resonance (LSPR) peak across a broad spectral range from 600 to 1200 nm. Among the GNC morphologies evaluated, the optimized GNC (GNC-4), characterized by its larger size and maximal core-to-shell gap thickness, exhibited superior color brightness and enhanced photothermal efficiency compared to other GNC morphologies and traditional GNP. The enhanced performance of GNC-4 enabled the detection of influenza A (H1N1), used as the model analyte, achieving a limit of detection (LOD) of 1.8 ng/mL via colorimetric analysis and 1.51 pg/mL using photothermal LFIA. Compared to traditional GNP-based colorimetric LFIA detection, the colorimetric sensitivity of the GNC-4-based LFIA was enhanced by 7-fold, while the photothermal detection sensitivity showed an improvement of over 8000-fold. By incorporating a portable smartphone-based photothermal LFIA platform, our dual-modal LFIA exhibits high sensitivity, practicality in detecting H1N1 in spiked saliva samples, and long-term stability over five months, making it a promising tool for infectious disease detection and a potential model for diagnosing other pathogens.
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