The Composites of PCL and Tetranuclear Titanium(IV)-Oxo Complex with Acetylsalicylate Ligands-Assessment of Their Biocompatibility and Antimicrobial Activity with the Correlation to EPR Spectroscopy.
Julia ŚmigielPiotr PiszczekGrzegorz WrzeszczTomasz JędrzejewskiPatrycja GolinskaAleksandra RadtkePublished in: Materials (Basel, Switzerland) (2022)
In our research, we have focused on the biological studies on composite materials produced by the dispersion of titanium(IV)-oxo complex (TOC) with acetylsalicylate ligands in a poly(ε-caprolactone) (PCL) matrix, which is a biodegradable thermoplastic polymer increasingly used in the production of medical devices. Using PCL as a matrix for the biologically active compounds, such as antimicrobial agents, antibiotics or other active medical substances, from which these individuals can be gradually released is fully understable. Composites of PCL + nTOC (n = 10, 15 and 20 wt.%) have been produced and, in such a form, the biological properties of TOCs have been estimated. Direct and indirect cytotoxicity studies have been performed in vitro on L929 and human umbilical vein endothelial cells (HUVEC) cell lines. The antibacterial and antifungal activity of the PCL + TOC samples have been assessed against two Staphylococcus aureus (ATCC 6538 and ATCC 25923) reference strains, two Escherichia coli (ATCC 8739 and ATCC 25922) reference strains and yeast of Candida albicans ATCC 10231. Obtained results have been correlated with electron paramagnetic resonance (EPR) spectroscopy data. We could conclude that photoexcitation by visible light of the surface of PCL + nTOC composite foils lead to the formation of different paramagnetic species, mainly O - , which slowly disappears over time; however, their destructive effect on bacteria and cells has been proven.
Keyphrases
- escherichia coli
- candida albicans
- staphylococcus aureus
- visible light
- biofilm formation
- endothelial cells
- high resolution
- single molecule
- healthcare
- drug delivery
- drinking water
- machine learning
- reduced graphene oxide
- cystic fibrosis
- deep learning
- mass spectrometry
- quantum dots
- cell death
- artificial intelligence
- clinical evaluation
- genetic diversity