1. Multiple-readout lateral flow immunoassay for the sensitive detection of nitrofurazone metabolites through ultrabright AIE-MOF coupled in-situ growth strategy.
- Author
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Cheng Y, Yin X, Li Y, Wang S, Xue S, Wu Q, Wang J, and Zhang D
- Subjects
- Immunoassay methods, Immunoassay instrumentation, Humans, Ferrocyanides chemistry, Colorimetry methods, Fluorescent Dyes chemistry, Metal-Organic Frameworks chemistry, Biosensing Techniques methods, Limit of Detection, Nitrofurazone analysis, Nitrofurazone chemistry
- 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., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)
- Published
- 2024
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