Acta Vet. Brno 2023, 92: 435-441

https://doi.org/10.2754/avb202392040435

Bacteria trapping effectivity on nanofibre membrane in liquids is exponentially dependent on the surface density

Leontýna Varvařovská1, Bruno Sopko2,3, Radek Divín3,4, Aleksei Pashschenko3,4,5, Jan Fedačko6, Jan Sabo7, Alois Nečas8, Evžen Amler3, Taťána Jarošíková1

1Czech Technical University in Prague, Faculty of Biomedical Engineering, Department of Natural Sciences, Kladno, Czech Republic
2Charles University, 2nd Faculty of Medicine, Department of Medical Chemistry and Clinical Biochemistry, Praha, Czech Republic
3Czech Technical University in Prague, University Centre for Energy Efficient Buildings, Bustehrad, Czech Republic
4Charles University, Faculty of Medicine, Department of Medical Biophysics, Praha, Czech Republic
5University of Sassari, Department of Biomedical Sciences, Sassari, Italy
6Pavol Jozef Šafárik University in Košice, University Research Park Medipark, Centre of Clinical and Preclinical Research, Košice, Slovakia
7Pavol Jozef Šafárik University in Košice, Institute of Medical Biophysics, Košice, Slovakia
8University of Veterinary Sciences Brno, Faculty of Veterinary Medicine, Brno, Czech Republic

Received June 13, 2023
Accepted October 25, 2023

Protection against water- and air-borne bacteria as well as their detection at very low levels is a big challenge for the health care profession. The study’s main goal was to prepare bacterial filters with a tunable trapping effectivity. We revealed that the trapping efficiency of Escherichia coli estimated from the optical density of bacteria passed through the filter was exponentially dependent on the surface density of the polyacrylonitrile nanofibre membranes. This log/linear regression profile was proven for bacterial trapping efficiency higher than 99.9% which opens a door for easy and tunable constructions of ultrasensitive filters and/or nanosensors as well as for the standardization and quality control of nanofibre membranes.

Funding

This publication was financially supported by grant AKARDIO COVID-19, ITMS: 313011AUB1, Operational Program Integrated Infrastructure, co-founded by the European Regional Development Fund. The individual authors acknowledge support from FVM VETUNI (TA 29, NA), SGS22/199/OHK4/3T/17 (VL), and GAUK 312123 (PA).

References

33 live references