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多指标侧向流免疫分析通过超亮 AIE-MOF 偶联原位生长策略灵敏检测硝基呋喃代谢物。

Multiple-readout lateral flow immunoassay for the sensitive detection of nitrofurazone metabolites through ultrabright AIE-MOF coupled in-situ growth strategy.

机构信息

College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China.

College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China; College of Food Engineering, Ludong University, Yantai, 264025, Shandong, China; Bio-Nanotechnology Research Institute, Ludong University, Yantai, 264025, Shandong, China.

出版信息

Biosens Bioelectron. 2024 Oct 15;262:116556. doi: 10.1016/j.bios.2024.116556. Epub 2024 Jul 9.

DOI:10.1016/j.bios.2024.116556
Abstract

The multiple-readout capability of multimodal detection enhances the flexibility, reliability, and accuracy of lateral flow immunoassay (LFIA). The conjugation of two different metal-organic frameworks (MOFs) as a new-generation composite material offers extraordinary opportunities for developing multimodal LFIA. It is anticipated to compensate limitations of traditional single colorimetric signal LFIA and improve the analysis performance. Herein, an ultra-bright fluorescent AIE-MOF was proposed and coupled with an in-situ growth of Prussian blue (PB) nanoparticles strategy to obtain a novel multimodal signal tracer (AIE-MOF@PB). Thereafter, it was successfully applied to develop the multimodal LFIA platform for the detection of nitrofurazone metabolites. The synergy of AIE-MOF and PB endows AIE-MOF@PB with superb water dispersibility, robust fluorescence emission, brilliant colorimetric signal, marvelous photothermal conversion, and enhanced antibody coupling efficiency, all of which facilitate a highly sensitive triple-readout LFIA platform. The detection sensitivity improved by at least 5-fold compared with the colloidal gold-based LFIA. This work not only inspires the rational design of aggregation-induced emission luminogens (AIEgen)-based complex materials but also highlights the promising potential in flexible point-of-care applications.

摘要

多模态检测的多重读取能力提高了侧向流动免疫分析(LFIA)的灵活性、可靠性和准确性。两种不同的金属-有机骨架(MOF)作为新一代复合材料的结合为开发多模态 LFIA 提供了极好的机会。预计它将弥补传统比色单信号 LFIA 的局限性并提高分析性能。本文提出了一种超亮荧光 AIE-MOF,并结合原位生长普鲁士蓝(PB)纳米粒子的策略,获得了一种新型多模态信号示踪剂(AIE-MOF@PB)。此后,它被成功应用于开发用于检测硝基呋喃代谢物的多模态 LFIA 平台。AIE-MOF 和 PB 的协同作用赋予了 AIE-MOF@PB 极好的水分散性、强荧光发射、鲜艳的比色信号、出色的光热转换和增强的抗体偶联效率,所有这些都促进了高灵敏度的三重读取 LFIA 平台。与基于胶体金的 LFIA 相比,检测灵敏度至少提高了 5 倍。这项工作不仅激发了基于聚集诱导发射发光体(AIEgen)的复合材料的合理设计,而且突出了在灵活的即时护理应用中的广阔应用潜力。

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