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

Aggregation-induced emission Metal-organic frameworks Nitrofurazone metabolites Prussian blue nanoparticles Triple-readout lateral flow immunoassay

Journal

Biosensors & bioelectronics
ISSN: 1873-4235
Titre abrégé: Biosens Bioelectron
Pays: England
ID NLM: 9001289

Informations de publication

Date de publication:
09 Jul 2024
Historique:
received: 18 02 2024
revised: 07 05 2024
accepted: 03 07 2024
medline: 13 7 2024
pubmed: 13 7 2024
entrez: 12 7 2024
Statut: aheadofprint

Résumé

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.

Identifiants

pubmed: 38996596
pii: S0956-5663(24)00561-X
doi: 10.1016/j.bios.2024.116556
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

116556

Informations de copyright

Copyright © 2024 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

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.

Auteurs

Yuanyuan Cheng (Y)

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

Xuechi Yin (X)

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

Yuechun Li (Y)

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

Shaochi Wang (S)

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

Shouyu Xue (S)

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

Qiaoying Wu (Q)

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

Jianlong Wang (J)

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

Daohong Zhang (D)

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. Electronic address: zhangdh@nwafu.edu.cn.

Classifications MeSH