Logo Logo
  • Home
  • Publications
  • Meet Our Team
  • Contact

More Info

  • Email [email protected]
  • Phone Office: (434) 924-8195 Computational lab: (434) 982-6267 Wet lab: (434) 924-8640
  • Location 415 Lane Road, Room 2041 Charlottesville, VA 22903

Related Links

  • PubMed
  • Undergraduate Opportunities
  • Graduate Opportunities
  • UVA Engineering

Connect With Us

Minimum Bactericidal Concentration of Ciprofloxacin to Pseudomonas aeruginosa Determined Rapidly Based on Pyocyanin Secretion

  • Home
  • Blog Details
July 2 2020
  • Published Works

Sens Actuators B Chem. 2020 Jun 1;312:127936. doi: 10.1016/j.snb.2020.127936. Epub 2020 Mar 4.

ABSTRACT

Infections due to Pseudomonas aeruginosa (P. aeruginosa) often exhibit broad-spectrum resistance and persistence to common antibiotics. Persistence is especially problematic with immune-compromised subjects who are unable to eliminate the inhibited bacteria. Hence, antibiotics must be used at the appropriate minimum bactericidal concentration (MBC) rather than at minimum inhibitory concentration (MIC) levels. However, MBC determination by conventional methods requires a 24 h culture step in the antibiotic media to confirm inhibition, followed by a 24 h sub-culture step in antibiotic-free media to confirm the lack of bacterial growth. We show that electrochemical detection of pyocyanin (PYO), which is a redox-active bacterial metabolite secreted by P. aeruginosa, can be used to rapidly assess the critical ciprofloxacin level required for bactericidal deactivation of P. aeruginosa within just 2 hours in antibiotic-treated growth media. The detection sensitivity for PYO can be enhanced by using nanoporous gold that is modified with a self-assembled monolayer to lower interference from oxygen reduction, while maintaining a low charge transfer resistance level and preventing electrode fouling within biological sample matrices. In this manner, bactericidal efficacy of ciprofloxacin towards P. aeruginosa at the MBC level and bacterial persistence at the MIC level can be determined rapidly, as validated at later timepoints using bacterial subculture in antibiotic-free media.

PMID:32606491 | PMC:PMC7326315 | DOI:10.1016/j.snb.2020.127936

Previous Post Next Post

Recent Posts

  • Fecal sphingolipids predict parenteral nutrition associated cholestasis in the neonatal intensive care unit
  • Comparative analyses of parasites with a comprehensive database of genome-scale metabolic models
  • Comparative analyses of parasites with a comprehensive database of geno-scale metabolic models
  • Quantifying cumulative phenotypic and genomic evidence for procedural generation of metabolic network reconstructions
  • Computational approaches to understanding Clostridioides difficile metabolism and virulence
Logo

Computational Systems Biology Laboratory; The research group of Dr. Jason Papin in the Department of Biomedical Engineering at the University of Virginia. Dedicated to discovering revolutionary advancements.

Related Links

  • PubMed
  • Undergraduate Opportunities
  • Graduate Opportunities
  • UVA Engineering

Contact Info

The research group of Dr. Jason Papin in the Department of Biomedical Engineering at the University of Virginia

  • Email: [email protected]
  • Phone (434) 924-8195

© Copyright 2021 Papin Lab. Designed by Sabres Media LLC

  • Home
  • Publications
  • Meet Our Team
  • Contact