3D-printed chip for detection of methicillin-resistant Staphylococcus aureus labeled with gold nanoparticles

Dagmar Chudobova1, Kristyna Cihalova, Sylvie Skalickova

  • 1Department of Chemistry and Biochemistry, Mendel University in Brno, Brno, Czech Republic; Central European Institute of Technology, Brno University of Technology, Technicka, Brno, Czech Republic.

Electrophoresis
|July 30, 2014
PubMed

Insights

A novel 3D-printed chip enables rapid, low-cost detection of methicillin-resistant Staphylococcus aureus (MRSA) by identifying its mecA gene. This colorimetric method offers a simple, one-step solution for MRSA identification in diverse samples.

Area of Science:

  • Biotechnology
  • Microbiology
  • Nanotechnology

Background:

  • Methicillin-resistant Staphylococcus aureus (MRSA) poses a significant threat in healthcare and food industries due to increasing antibiotic resistance.
  • Timely and rapid diagnostics for MRSA are crucial for effective control and treatment strategies.

Purpose of the Study:

  • To develop an integrated platform for DNA isolation and mecA gene amplification for MRSA detection.
  • To create a rapid, cost-effective, and user-friendly colorimetric method for identifying MRSA.

Main Methods:

  • Fabrication of a 3D-printed chip for bacterial cultivation, DNA isolation, and PCR.
  • Utilized gold nanoparticle (AuNP) probes for colorimetric detection of the amplified mecA gene.
  • Employed the non-cross-linking aggregation of DNA-functionalized AuNPs for signal generation.

Main Results:

  • The 3D-printed chip successfully facilitated bacterial cultivation, DNA isolation, and PCR.
  • MRSA presence was confirmed through specific mecA gene interaction with AuNP probes, indicated by colorimetric changes.
  • AuNP aggregation resulted in a 75% decrease in absorbance at 530 nm and a size change from 3 nm to 4 nm.

Conclusions:

  • A one-step, integrated platform for MRSA detection was successfully developed.
  • The colorimetric method using AuNPs offers a rapid, low-cost, and easy-to-use approach for MRSA identification.
  • This technology has potential applications in various settings for prompt MRSA screening.

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