Development of a smartphone-based rapid dual fluorescent diagnostic system for the simultaneous detection of influenza A and H5 subtype in avian influenza A-infected patients

Accurate and rapid diagnosis of highly pathogenic avian influenza A H5N1 is of critical importance for the effective clinical management of patients. Here, we developed a rapid and simultaneous detection toolkit for influenza A H5 subtype viruses in human samples based on a bioconjugate of quantum d...

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Bibliographic Details
Published in:Theranostics 2018-01, Vol.8 (22), p.6132-6148
Main Authors: Yeo, Seon-Ju, Kang, Homan, Dao, Tung Duy, Cuc, Bui Thi, Nguyen, Anh Thi Viet, Tien, Trinh Thi Thuy, Hang, Nguyen Le Khanh, Phuong, Hoang Vu Mai, Thanh, Le Thi, Mai, Le Quynh, Rah, Yoonhyuk, Yu, Kyoungsik, Shin, Ho-Joon, Chong, Chom-Kyu, Choi, Hak Soo, Park, Hyun
Format: Article
Language:English
Subjects:
Adolescent
Adult
Animals
Birds
Child
Child, Preschool
Female
Fluorescent Antibody Technique - instrumentation
Fluorescent Antibody Technique - methods
Humans
Influenza A virus - isolation & purification
Influenza A virus - physiology
Influenza A Virus, H5N1 Subtype - physiology
Influenza in Birds - transmission
Influenza in Birds - virology
Influenza, Human - diagnosis
Influenza, Human - virology
Male
Quantum Dots - chemistry
Research Paper
Smartphone - statistics & numerical data
Young Adult
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Summary:Accurate and rapid diagnosis of highly pathogenic avian influenza A H5N1 is of critical importance for the effective clinical management of patients. Here, we developed a rapid and simultaneous detection toolkit for influenza A H5 subtype viruses in human samples based on a bioconjugate of quantum dots (QDs) assembly and a smartphone-based rapid dual fluorescent diagnostic system (SRDFDS). Two types of QDs were assembled on a latex bead to enhance the detection sensitivity and specificity of influenza A infection (QD580) and H5 subtype (QD650). The dual signals of influenza A and H5 subtype of H5N1-infected patients were detected simultaneously and quantified separately by SRDFDS equipped with two emission filters. Our results showed a high sensitivity of 92.86% (13/14) and 78.57% (11/14), and a specificity of 100% (38/38, < 0.0001) and 97.37% (37/38) for influenza A and H5 subtype detection, respectively. Therefore, our multiplex QD bioconjugates and SRDFDS-based influenza virus detection toolkit potentially provide accurate and meaningful diagnosis information with improved detection accuracies and sensitivities for H5N1 patients.
ISSN:1838-7640
1838-7640
DOI:10.7150/thno.28027