Development of a Graphene Oxide Multilayer Quantum Dot-based Immunochromatographic Strip for the Ultrasensitive Detection of H7 Subtype Avian Influenza Viruses

Overview

Journal Poult Sci

Publisher Elsevier

Specialty Veterinary Medicine

Date 2025 Feb 22

PMID 39985899

Authors

Jiamin Fu

Ping Wang

Han Wu

Fan Yang

Linfang Cheng

Fumin Liu

Hangping Yao

Nanping Wu

LiHua Xu

Haibo Wu

Affiliations

Soon will be listed here.

Abstract

Since March 2013, the H7N9 subtype of avian influenza virus (AIV) has become an important zoonotic infectious disease, garnering significant global attention because of its potential to affect human health. Establishing a rapid, effective, and sensitive method to detect H7 subtype AIVs is crucial for disease control. In this study, we developed a graphene oxide multilayer quantum dot-based immunochromatographic strip for the ultrasensitive detection of H7 subtype AIVs. The method demonstrated excellent sensitivity, with a limit of detection of 0.063 hemagglutinin units and 0.016 ng/ml for the hemagglutinin protein. The method exhibited remarkable specificity, with no reaction with other subtypes of influenza A virus andno cross-reactivity with other types of avian virus. Additionally, this method exhibited excellent reproducibility, with both inter-group and intra-group variations remaining below 10 %. Preliminary testing on avian clinical samples showed impressive consistency, underscoring the method's reliability. These initial results suggest that this detection approach has significant potential for widespread use in analyzing avian clinical samples, indicating substantial promise for its future application in various diagnostic settings.

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