Avian Influenza Virus Detection by Optimized Peptide Termination on a Boron-Doped Diamond Electrode.

avian influenza virus boron-doped diamond electrode click chemistry electrochemical impedance spectroscopy hemagglutinin limit of detection sialic acid-mimic peptide

Journal

ACS sensors
ISSN: 2379-3694
Titre abrégé: ACS Sens
Pays: United States
ID NLM: 101669031

Informations de publication

Date de publication:
28 02 2020
Historique:
pubmed: 23 2 2020
medline: 5 1 2021
entrez: 21 2 2020
Statut: ppublish

Résumé

The development of a simple detection method with high sensitivity is essential for the diagnosis and surveillance of infectious diseases. Previously, we constructed a sensitive biosensor for the detection of pathological human influenza viruses using a boron-doped diamond electrode terminated with a sialyloligosaccharide receptor-mimic peptide that could bind to hemagglutinins involved in viral infection. Circulation of influenza induced by the avian virus in humans has become a major public health concern, and methods for the detection of avian viruses are urgently needed. Here, peptide density and dendrimer generation terminated on the electrode altered the efficiency of viral binding to the electrode surface, thus significantly enhancing charge-transfer resistance measured by electrochemical impedance spectroscopy. The peptide-terminated electrodes exhibited an excellent detection limit of less than one plaque-forming unit of seasonal H1N1 and H3N2 viruses. Furthermore, the improved electrode was detectable for avian viruses isolated from H5N3, H7N1, and H9N2, showing the potential for the detection of all subtypes of influenza A virus, including new subtypes. The peptide-based electrochemical architecture provided a promising approach to biosensors for ultrasensitive detection of pathogenic microorganisms.

Identifiants

pubmed: 32077684
doi: 10.1021/acssensors.9b02126
doi:

Substances chimiques

Peptides 0
Diamond 7782-40-3
Boron N9E3X5056Q

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

431-439

Auteurs

Teruhiko Matsubara (T)

Department of Biosciences and Informatics, Faculty of Science and Technology , Keio University , 3-14-1 Hiyoshi , Kohoku-ku, Yokohama , Kanagawa 223-8522 , Japan.

Michiko Ujie (M)

Department of Biosciences and Informatics, Faculty of Science and Technology , Keio University , 3-14-1 Hiyoshi , Kohoku-ku, Yokohama , Kanagawa 223-8522 , Japan.

Takashi Yamamoto (T)

Department of Chemistry, Faculty of Science and Technology , Keio University , 3-14-1 Hiyoshi , Kohoku-ku, Yokohama , Kanagawa 223-8522 , Japan.

Yasuaki Einaga (Y)

Department of Chemistry, Faculty of Science and Technology , Keio University , 3-14-1 Hiyoshi , Kohoku-ku, Yokohama , Kanagawa 223-8522 , Japan.
JST-ACCEL , 5, Sanbancho , Chiyoda-ku, Tokyo 102-0075 , Japan.

Tomo Daidoji (T)

Department of Infectious Diseases, Graduate School of Medical Science , Kyoto Prefectural University of Medicine , Kawaramachi-Hirokoji , Kamigyo-ku, Kyoto 602-8566 , Japan.

Takaaki Nakaya (T)

Department of Infectious Diseases, Graduate School of Medical Science , Kyoto Prefectural University of Medicine , Kawaramachi-Hirokoji , Kamigyo-ku, Kyoto 602-8566 , Japan.

Toshinori Sato (T)

Department of Biosciences and Informatics, Faculty of Science and Technology , Keio University , 3-14-1 Hiyoshi , Kohoku-ku, Yokohama , Kanagawa 223-8522 , Japan.

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Classifications MeSH