Main Metabolites of Pseudomonas aeruginosa: A Study of Electrochemical Properties
In: Sensors; Volume 22; Issue 13; Pages: 4694, 2022
academicJournal
Zugriff:
Pseudomonas aeruginosa is a ubiquitously distributed soil and water bacterium and is considered an opportunistic pathogen in hospitals. In cystic fibrosis patients, for example, infections with P. aeruginosa can be severe and often lead to chronic or even fatal pneumonia. Therefore, rapid detection and further identification are of major importance in hospital hygiene and infection control. This work shows the electrochemical properties of five P. aeruginosa key metabolites considering their potential use as specific signaling agents in an electrochemical sensor system. The pure solutes of pyocyanin (PYO), Pseudomonas quinolone signal (PQS), pyochelin (PCH), 2-heptyl-4-hydroxyquinoline (HHQ), and 2-heptyl-4-hydroxyquinoline N-oxide (HQNO) were analyzed by different electrochemical techniques (cyclic and square wave voltammetry) and measured using a Gamry Reference 600+ potentiostat. Screen-printed electrodes (DropSens DRP110; carbon working and counter, silver reference electrode) were used to determine signal specificities, detection limits, as well as pH dependencies of the substances. All of the compounds were electrochemically inducible with well-separated oxidation and/or reduction peaks at specific peak potentials relative to the reference electrode. Additionally, all analytes exhibited linear concentration dependency in ranges classically reported in the literature. The demonstration of these properties is a promising step toward direct multiplexed detection of P. aeruginosa in environmental and clinical samples and thus, can make a significant contribution to public health and safety.
Titel: |
Main Metabolites of Pseudomonas aeruginosa: A Study of Electrochemical Properties
|
---|---|
Autor/in / Beteiligte Person: | Schneider, Sylvia ; Ettenauer, Jörg ; Pap, Ildiko-Julia ; Aspöck, Christoph ; Walochnik, Julia ; Brandl, Martin |
Link: | |
Zeitschrift: | Sensors; Volume 22; Issue 13; Pages: 4694, 2022 |
Veröffentlichung: | Multidisciplinary Digital Publishing Institute, 2022 |
Medientyp: | academicJournal |
DOI: | 10.3390/s22134694 |
Schlagwort: |
|
Sonstiges: |
|