DNA based biosensing of Acinetobacter baumannii using nanoparticles aggregation method

Farnaz Bahavarnia1,2,3,4, Paria Pashazadeh-Panahi5,6,7, Mohammad Hasanzadeh8

  • 1Food and Drug Safety Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.

Heliyon
|July 23, 2020
PubMed

Insights

A novel genosensor using citrate-capped silver nanoparticles (Cit-AgNPs) enables rapid, 2-minute detection of Acinetobacter baumannii DNA. This sensitive method offers a promising alternative to traditional diagnostics for this common nosocomial pathogen.

Area of Science:

  • Nanotechnology-based biosensing
  • Molecular diagnostics
  • Antimicrobial resistance surveillance

Background:

  • Acinetobacter baumannii is a major cause of hospital-acquired infections, particularly in intensive care units.
  • Current diagnostic methods for A. baumannii can be time-consuming and lack sensitivity.
  • There is a critical need for rapid and accurate detection methods to guide treatment and control infection spread.

Purpose of the Study:

  • To develop a specific and sensitive method for detecting Acinetobacter baumannii DNA.
  • To utilize citrate-capped silver nanoparticles (Cit-AgNPs) for genosensing applications.
  • To establish a rapid diagnostic tool for A. baumannii monitoring.

Main Methods:

  • Design of a specific DNA probe (pDNA) for Acinetobacter baumannii.
  • Hybridization of pDNA with complementary DNA (cDNA) and target DNA.
  • Detection using a turn-on fluorescence bioassay and spectrophotometric techniques with Cit-AgNPs.

Main Results:

  • Successful detection of Acinetobacter baumannii target DNA within an optimal time of 2 minutes.
  • High selectivity demonstrated, with excellent differentiation from mismatch sequences.
  • Achieved a low limit of quantification (LLOQ) of 1 zeptomolar (zM), indicating high sensitivity.

Conclusions:

  • The developed genosensor provides a rapid (2 min) and accurate method for Acinetobacter baumannii detection.
  • Cit-AgNPs-based biosensing offers a viable and potentially superior alternative to traditional diagnostic approaches.
  • The proposed genosensor platform shows potential for detecting other pathogenic microorganisms.

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