Ultrabright NIR AIEgen nanoparticles‐enhanced lateral flow immunoassay platform for accurate diagnostics of complex samples
Jia Shu,
Yujian Li,
Huan Cai,
Qing Fu,
Chunyang Li,
Jianbo Yuan,
Yan Zhao,
Changjin Liu,
Haiping Wu,
Doudou Ling,
Zhangluxi Liu,
Guannan Su,
Qingfeng Cao,
Xiaolin Huang,
Rui Chen,
Peizeng Yang
Affiliations
Jia Shu
The First Affiliated Hospital of Chongqing Medical University Chongqing Branch (Municipality Division) of National Clinical Research Center for Ocular Diseases Chongqing China
Yujian Li
Department of Orthopedics, The First Affiliated Hospital of Chongqing Medical University, Orthopaedic Research Laboratory Chongqing Medical University Chongqing China
Huan Cai
Key Laboratory of Clinical Laboratory Diagnostics (Ministry of Education), College of Laboratory Medicine Chongqing Medical University Chongqing China
Qing Fu
Key Laboratory of Clinical Laboratory Diagnostics (Ministry of Education), College of Laboratory Medicine Chongqing Medical University Chongqing China
Chunyang Li
Key Laboratory of Clinical Laboratory Diagnostics (Ministry of Education), College of Laboratory Medicine Chongqing Medical University Chongqing China
Jianbo Yuan
Key Laboratory of Clinical Laboratory Diagnostics (Ministry of Education), College of Laboratory Medicine Chongqing Medical University Chongqing China
Yan Zhao
Key Laboratory of Clinical Laboratory Diagnostics (Ministry of Education), College of Laboratory Medicine Chongqing Medical University Chongqing China
Changjin Liu
Key Laboratory of Clinical Laboratory Diagnostics (Ministry of Education), College of Laboratory Medicine Chongqing Medical University Chongqing China
Haiping Wu
Key Laboratory of Clinical Laboratory Diagnostics (Ministry of Education), College of Laboratory Medicine Chongqing Medical University Chongqing China
Doudou Ling
The First Affiliated Hospital of Chongqing Medical University Chongqing Branch (Municipality Division) of National Clinical Research Center for Ocular Diseases Chongqing China
Zhangluxi Liu
The First Affiliated Hospital of Chongqing Medical University Chongqing Branch (Municipality Division) of National Clinical Research Center for Ocular Diseases Chongqing China
Guannan Su
The First Affiliated Hospital of Chongqing Medical University Chongqing Branch (Municipality Division) of National Clinical Research Center for Ocular Diseases Chongqing China
Qingfeng Cao
The First Affiliated Hospital of Chongqing Medical University Chongqing Branch (Municipality Division) of National Clinical Research Center for Ocular Diseases Chongqing China
Xiaolin Huang
State Key Laboratory of Food Science and Resources, School of Food Science and Technology Nanchang University Nanchang China
Rui Chen
Key Laboratory of Clinical Laboratory Diagnostics (Ministry of Education), College of Laboratory Medicine Chongqing Medical University Chongqing China
Peizeng Yang
The First Affiliated Hospital of Chongqing Medical University Chongqing Branch (Municipality Division) of National Clinical Research Center for Ocular Diseases Chongqing China
Abstract Accurate and sensitive near‐infrared (NIR) luminescent lateral flow immunoassay (LFIA) has attracted considerable attention in the field of point‐of‐care testing (POCT). However, the detection accuracy and sensitivity are often compromised by the low fluorescence quantum efficiency ( 800 nm) completely eliminated background interference and allowed highly accurate and sensitive detection without any pre‐treatment steps. The limits of detection (LODs) for aflatoxin B1 (AFB1) in soy sauce, alpha hemolysin (Hla) of Staphylococcus aureus biomarker in joint fluid, and C‐reactive protein (CRP) in human haemolysed samples were 0.01 ng mL−1, 0.02 µg mL−1, and 0.156 mg L−1, respectively, commensurating with those of the corresponding gold standard assays and covering the detection range of interests. It is anticipated that the ultrabright NIR AIEgen nanoparticles will serve as a universally applicable signal probe for NIR‐LFIA diagnostics, promising to expand the range of applications for quantitative detection of complex samples.
