Thermal Pyocyanin Sensor Based on Molecularly Imprinted Polymers for the Indirect Detection of Pseudomonas aeruginosa

Margaux Frigoli1, Joseph W Lowdon1, Manlio Caldara1

  • 1Sensor Engineering Department, Faculty of Science and Engineering, Maastricht University, P.O. Box 616, 6200 MDMaastricht, The Netherlands.

ACS Sensors
|January 4, 2023
PubMed

Insights

This study developed a novel thermal sensor using molecularly imprinted polymers (MIPs) to detect pyocyanin, a toxin from Pseudomonas aeruginosa. The sensor shows promise for early clinical diagnosis of infections.

Area of Science:

  • Biomaterials Science
  • Chemical Sensors
  • Microbiology

Background:

  • Pseudomonas aeruginosa is a multi-drug-resistant bacterium causing severe infections.
  • Pyocyanin is a key toxin produced by P. aeruginosa, indicating infection.
  • Accurate and early detection methods are crucial for effective treatment.

Purpose of the Study:

  • To develop a thermal sensor for indirect detection of P. aeruginosa infection.
  • To create selective molecularly imprinted polymers (MIPs) for pyocyanin recognition.
  • To validate the sensor's performance in complex biological samples.

Main Methods:

  • Synthesized MIPs using phenazine as a dummy template for pyocyanin.
  • Evaluated MIP selectivity and sensitivity using UV-vis spectroscopy.
  • Immobilized MIPs on aluminum chips for thermal resistance measurements.
  • Tested sensor performance with pyocyanin in King's A medium and spiked saliva samples.

Main Results:

  • Achieved a maximum rebinding capacity of 30 μmol g-1 and an imprinting factor of 1.59 for MIPs.
  • Established a limit of detection (LoD) of 0.347 ± 0.027 μM for pyocyanin on the sensor.
  • Demonstrated sensor functionality in complex media and saliva samples.
  • Achieved an LoD of 0.569 ± 0.063 μM in spiked saliva, indicating early-stage detection capability.

Conclusions:

  • Developed a selective and sensitive MIP-based thermal sensor for pyocyanin detection.
  • The sensor demonstrates potential for indirect diagnosis of P. aeruginosa infections.
  • The technology is suitable for detecting early-stage toxin production in clinical samples like saliva.