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Antibacterial Activity of Silver and Gold Particles Formed on Titania Thin Films
Kaunas Univ Technol, Phys Dept, Studentu Str 50, LT-51368 Kaunas, Lithuania..ORCID iD: 0000-0003-2674-8116
Kaunas Univ Technol, Phys Dept, Studentu Str 50, LT-51368 Kaunas, Lithuania..
Kaunas Univ Technol, Dept Math Modeling, Studentu Str 50, LT-51368 Kaunas, Lithuania..
Kaunas Univ Technol, Phys Dept, Studentu Str 50, LT-51368 Kaunas, Lithuania..ORCID iD: 0000-0002-4523-0585
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2022 (English)In: Nanomaterials, E-ISSN 2079-4991, Vol. 12, no 7, p. 1190-, article id 1190Article in journal (Refereed) Published
Abstract [en]

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 TiO2 thin films decorated by Ag and Au nanoparticles (NP) against Veillonella parvula and Neisseria sicca species associated with oral diseases. TiO2 thin films were formed using reactive magnetron sputtering by obtaining as-deposited amorphous and crystalline TiO2 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 TiO2/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. TiO2 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.

Place, publisher, year, edition, pages
MDPI AG , 2022. Vol. 12, no 7, p. 1190-, article id 1190
Keywords [en]
TiO2 thin films, silver nanoparticles, gold nanoparticles, Gram-negative bacteria
National Category
Materials Chemistry
Identifiers
URN: urn:nbn:se:kth:diva-311521DOI: 10.3390/nano12071190ISI: 000781080300001PubMedID: 35407308Scopus ID: 2-s2.0-85127378713OAI: oai:DiVA.org:kth-311521DiVA, id: diva2:1655648
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QC 20220503

Available from: 2022-05-03 Created: 2022-05-03 Last updated: 2022-06-25Bibliographically approved

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Rinkevicius, Zilvinas

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