Photonic sensor based on surface imprinted polymers for enhanced point-of-care diagnosis of bacterial urinary tract infections
Effective bacterial detection is crucial for health diagnostics, particularly for the detection of pathogenic species like Escherichia coli (E. coli), which is responsible for up to 90% of urinary tract infections (UTIs), is especially crucial. Current detection methods are time-consuming, often delaying diagnosis and treatment. This study introduces an innovative approach for rapid E. coli detection using porous silicon (PSi) substrates combined with Surface Imprinted Polymers (SIPs) for photoluminescence-based (PL-based) E. coli detection. The PSi/SIP substrates offer high sensitivity, selectivity, and a low limit of detection (LOD) without the need for natural recognition elements. These substrates, fabricated via metal-assisted chemical etching (MACE) and PDMS-based E. coli imprinting, demonstrate reliable repeatability and a fast detection. Real-time detection experiments in phosphate-buffered saline (PBS) and urine showed consistent stair-like quenching of the PL signal with increasing E. coli concentrations, achieving theoretical LODs of approximately 13 ± 2 CFU/mL in PBS and 17 ± 3 CFU/mL in urine. The substrates exhibited excellent selectivity, differentiating E. coli from other species such as Cronobacter sakazakii (C. sakazakii) and Listeria monocytogenes. The high sensitivity and reproducibility of PSi/SIP substrates, along with the ease of use and rapid detection capabilities of the resulting sensor, highlight the potential of this novel platform for point-of-care (PoC) applications in clinical diagnostics.
Authors
- Valerii Myndrul (ORCID: https://orcid.org/0009-0007-1453-4811)
- Rocio Arreguin Campos
- Kasper Eersels (ORCID: https://orcid.org/0000-0002-0214-1320)
- Igor Iatsunskyi (ORCID: https://orcid.org/0000-0001-9420-7376)
- Bart van Grinsven (ORCID: https://orcid.org/0000-0002-6939-0866)
- Flavia Di Scala (ORCID: https://orcid.org/0009-0002-7653-5493)
Institutions
- Maastricht University (NL)
- Adam Mickiewicz University in Poznań (PL)
Publication Details
- Journal
- Biosensors and Bioelectronics
- Published
- 2024-11-05
- DOI
- https://doi.org/10.1016/j.bios.2024.116916
- Citations
- 7
- Primary Topic
- Biosensors and Analytical Detection
- Type
- article
- Field-Weighted Citation Impact
- 1.29
Funders
- Narodowe Centrum Nauki