A novel nucleic acid based bio-assay toward recognition of Haemophilus influenza using bioconjugation and DNA

Ahmad Mobed1, Fatemeh Nami2, Mohammad Hasanzadeh3

  • 1Department of Microbiology, Faculty of Medicine, Tabriz University of Medical Sciences, Iran.

Insights

This study introduces a novel DNA biosensor for detecting Haemophilus influenza. The new method offers highly sensitive and selective monitoring of this antibiotic-resistant bacterium.

Area of Science:

  • Biotechnology
  • Analytical Chemistry
  • Microbiology

Background:

  • Haemophilus influenza (H. influenza) is a Gram-negative bacterium.
  • H. influenza exhibits resistance to penicillin-family antibiotics due to beta-lactamase production and penicillin-binding protein modification.
  • Accurate and sensitive detection methods are crucial for monitoring H. influenza.

Purpose of the Study:

  • To develop a novel, highly sensitive DNA-based biosensor for the detection of H. influenza.
  • To immobilize a specific thiolated DNA probe onto a gold electrode surface.
  • To utilize Square Wave Voltammetry (SWV) for monitoring DNA hybridization and detecting H. influenza.

Main Methods:

  • Immobilization of a specific thiolated DNA probe (SH-5'-AAT TTT CCA ACT TTT TCA CCT GCA T-3') onto a gold electrode.
  • Detection of target H. influenza cDNA sequence (5'-ATG CAG GTG AAA AAG TTG GAA AAT T-3') using Square Wave Voltammetry (SWV) in toluidine blue (TB) solution.
  • Characterization of electrode morphology using Field Scanning Electron Microscopy (FE-SEM).

Main Results:

  • The developed DNA biosensor achieved a detection limit as low as 1 ZM for the target H. influenza DNA sequence.
  • A linear detection range was established from 1 µM down to 1 ZM.
  • The biosensor demonstrated selective differentiation between complementary and mismatched DNA sequences (one, double, and triple base mismatches).

Conclusions:

  • A novel and highly sensitive DNA-based biosensor for H. influenza detection has been successfully established.
  • The developed method offers excellent selectivity, distinguishing target DNA from sequences with mismatches.
  • This approach provides a promising tool for the sensitive monitoring of H. influenza.

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