A polymyxin B-silver nanoparticle colloidal system and the application of lipopolysaccharide analysis

Tao Liu1, Liqian Gao, Jing Zhao

  • 1CAS Key Lab of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China. miaopeng@sibet.ac.cn tangyg@sibet.ac.cn.

The Analyst
|December 12, 2017
PubMed

Insights

Polymyxin B (PMB) strongly binds to silver nanoparticles (AgNPs), creating a sensor. This sensor detects lipopolysaccharide (LPS), a bacterial biomarker, enabling sensitive disease diagnosis.

Area of Science:

  • Nanotechnology
  • Analytical Chemistry
  • Biomedical Science

Background:

  • Polymyxin B (PMB) is a lipopeptide antibiotic effective against Gram-negative bacteria.
  • Silver nanoparticles (AgNPs) exhibit unique optical properties due to localized surface plasmon resonance (LSPR).
  • Lipopolysaccharide (LPS) is a key component of Gram-negative bacterial cell walls and a biomarker for infections like sepsis.

Purpose of the Study:

  • To investigate the interaction between citrate-capped AgNPs and PMB.
  • To develop a sensitive analytical platform using the PMB-AgNP system.
  • To demonstrate a colorimetric method for LPS detection.

Main Methods:

  • Characterization of AgNPs and their interaction with PMB.
  • Utilizing LSPR variations to monitor binding events.
  • Developing a colorimetric assay based on PMB-induced AgNP aggregation inhibition by LPS.

Main Results:

  • A high association constant was observed between PMB and AgNPs.
  • PMB binding significantly altered the LSPR of AgNPs.
  • The PMB-AgNP system successfully detected LPS with high sensitivity via colorimetry.
  • LPS binding to PMB inhibited AgNP aggregation, allowing for quantitative analysis.

Conclusions:

  • The PMB-AgNP interaction forms a robust foundation for a novel analytical platform.
  • The developed colorimetric method offers a simple and sensitive approach for LPS detection.
  • This sensing strategy holds potential for early disease diagnosis and monitoring.