Detection of influenza virus by a biosensor based on the method combining electrochemiluminescence on binary SAMs

Yumi Katayama1, Takayuki Ohgi1, Yoshiharu Mitoma1

  • 1Department of Environmental Sciences, Faculty of Life and Environmental Sciences, Prefectural University of Hiroshima, 562 Nanatsuka, Shobara, Hiroshima, 727-0023, Japan.

Insights

This study presents a novel electrochemiluminescence immunosensor for detecting influenza A (H1N1). The developed biosensor offers significantly improved sensitivity and accuracy compared to existing methods for influenza virus detection.

Area of Science:

  • Biosensors
  • Immunosensors
  • Electrochemiluminescence (ECL)
  • Influenza Virus Detection

Background:

  • Current point-of-care testing (POCT) for influenza diagnosis suffers from low sensitivity, leading to false negatives.
  • There is a critical need for highly sensitive and accurate diagnostic methods for influenza virus A (H1N1).

Purpose of the Study:

  • To develop and validate an electrochemiluminescence (ECL) immunosensor for sensitive and accurate detection of influenza virus A (H1N1).
  • To improve the sensitivity and accuracy of influenza virus detection by optimizing sensor surface chemistry.

Main Methods:

  • An immunosensor was designed using immunoliposomes encapsulating a tris(2,2'-bipyridyl)ruthenium(II) complex.
  • Detection involved a competitive immunoassay utilizing a hemagglutinin (HA) peptide immobilized on self-assembled monolayers (SAMs).
  • Binary SAMs, composed of 3,3'-dithiodipropionic acid and 1-hexanethiol, were employed to enhance SAMs coverage on a gold electrode.

Main Results:

  • The use of binary SAMs significantly improved electrode surface coverage and reduced background ECL signals.
  • The optimized method successfully detected influenza virus A (H1N1) with enhanced sensitivity and accuracy.
  • Detection range achieved was from 2.7 × 10^2 to 2.7 × 10^3 PFU/mL, outperforming POCT and ELISA.

Conclusions:

  • The developed ECL immunosensor demonstrates superior performance for influenza virus A (H1N1) detection.
  • This advanced biosensor offers a promising alternative for rapid, sensitive, and accurate influenza diagnostics.