Antibacterial Activity of Silver and Gold Particles Formed on Titania Thin Films.
Mantas SriubasKristina BockutePaulius PalevičiusMarius KaminskasZilvinas RinkeviciusMinvydas RagulskisSandrita SimonyteModestas RuzauskasGiedrius LaukaitisPublished in: Nanomaterials (Basel, Switzerland) (2022)
Metal-based nanoparticles with antimicrobial activity are gaining a lot of attention in recent years due to the increased antibiotics resistance. The development and the pathogenesis of oral diseases are usually associated with the formation of bacteria biofilms on the surfaces; therefore, it is crucial to investigate the materials and their properties that would reduce bacterial attachment and biofilm formation. This work provides a systematic investigation of the physical-chemical properties and the antibacterial activity of TiO 2 thin films decorated by Ag and Au nanoparticles (NP) against Veillonella parvula and Neisseria sicca species associated with oral diseases. TiO 2 thin films were formed using reactive magnetron sputtering by obtaining as-deposited amorphous and crystalline TiO 2 thin films after annealing. Au and Ag NP were formed using a two-step process: magnetron sputtering of thin metal films and solid-state dewetting. The surface properties and crystallographic nature of TiO 2 /NP structures were investigated by SEM, XPS, XRD, and optical microscopy. It was found that the higher thickness of Au and Ag thin films results in the formation of the enlarged NPs and increased distance between them, influencing the antibacterial activity of the formed structures. TiO 2 surface with AgNP exhibited higher antibacterial efficiency than Au nanostructured titania surfaces and effectively reduced the concentration of the bacteria. The process of the observation and identification of the presence of bacteria using the deep learning technique was realized.
Keyphrases
- visible light
- biofilm formation
- quantum dots
- sensitive detection
- silver nanoparticles
- solid state
- high resolution
- candida albicans
- pseudomonas aeruginosa
- staphylococcus aureus
- deep learning
- room temperature
- reduced graphene oxide
- escherichia coli
- optical coherence tomography
- mental health
- physical activity
- machine learning
- working memory
- high throughput
- artificial intelligence
- single molecule
- ionic liquid
- wound healing