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金-银合金纳米粒子复合火龙果型二氧化硅纳米杂化材料用于高灵敏度竞争侧向流动免疫分析。

Gold-Silver Alloy Nanoparticle-Incorporated Pitaya-Type Silica Nanohybrids for Sensitive Competitive Lateral Flow Immunoassay.

机构信息

College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310014, P. R. China.

出版信息

Anal Chem. 2023 Nov 28;95(47):17318-17327. doi: 10.1021/acs.analchem.3c03569. Epub 2023 Nov 15.

DOI:10.1021/acs.analchem.3c03569
PMID:37967331
Abstract

Although the competitive lateral flow immunoassay (CLFIA) using gold nanoparticles (AuNPs) as labels has been widely adopted for the rapid detection of small molecules, its sensitivity is often constrained by the insufficient colorimetric signal produced by conventional AuNPs labels. Herein, we introduce a new type of intensified colorimetric label, denoted as SAAS, which is engineered by integrating gold-silver alloy nanoparticles (Au-Ag NPs) within a dendritic silica scaffold. These pitaya-type silica nanohybrids combine the advantages of the amplified molar extinction coefficient of alloy units with the signal collective effect of numerous Au-Ag NPs in a singular label. The SAAS-based CLFIA strips not only achieve qualitative screening of aflatoxin B (AFB) at an extraordinarily low concentration of 0.2 ng/mL by the naked eye but also enable precise AFB quantification through a smartphone, with a remarkable limit of detection of 0.00314 ng/mL. Moreover, by leveraging SAAS as a quencher, we have delved into transforming the conventional signal-off mode of competitive immunoassay into a signal-on configuration. This innovation led to the development of a fluorescent LFIA that augments interpretative precision and sensitivity. Our study demonstrates the substantial potential of the proposed nanohybrid labels in enhancing the sensitivity of CLFIA for detecting small molecules.

摘要

尽管基于金纳米粒子(AuNPs)作为标记物的竞争侧向流动免疫分析(CLFIA)已被广泛用于小分子的快速检测,但由于常规 AuNPs 标记物产生的比色信号不足,其灵敏度往往受到限制。在此,我们引入了一种新型增强型比色标记物,称为 SAAS,它是通过在树枝状硅支架内集成金银合金纳米粒子(Au-Ag NPs)而设计的。这些火龙果型硅纳米杂化物结合了合金单元放大的摩尔消光系数的优势,以及单个标记物中大量 Au-Ag NPs 的信号集体效应。基于 SAAS 的 CLFIA 条带不仅可以通过肉眼实现对黄曲霉毒素 B(AFB)的超低浓度(0.2ng/mL)的定性筛选,还可以通过智能手机进行精确的 AFB 定量,检测限达到 0.00314ng/mL。此外,通过利用 SAAS 作为猝灭剂,我们深入研究了将传统的竞争免疫分析的信号关闭模式转变为信号开启模式。这一创新导致了荧光 LFIA 的发展,提高了解释精度和灵敏度。我们的研究表明,所提出的纳米杂化物标记物在提高 CLFIA 检测小分子的灵敏度方面具有很大的潜力。

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