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
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI