Magnetron Sputtering of Transition Metals as an Alternative Production Means for Antibacterial Surfaces.
Bernhard Peter KaltschmidtEhsan AsghariAnnika KielJulian CremerDario AnselmettiChristian KaltschmidtBarbara KaltschmidtAndreas HüttenPublished in: Microorganisms (2022)
In the light of the SARS-CoV-2 pandemic and growing numbers of bacteria with resistance to antibiotics, the development of antimicrobial coatings is rising worldwide. Inorganic coatings are attractive because of low environmental leakage and wear resistance. Examples for coatings are hot metal dipping or physical vapor deposition of nanometer coatings. Here, magnetron sputtering of various transition metals, such as gold, ruthenium and tantalum, was investigated. Metal films were characterized by scanning electron microscopy (SEM), atomic force microscopy (AFM) and energy dispersive X-ray spectroscopy (EDX). We investigated the growth of Pseudomonas aeruginosa isolated from household appliances on different sputter-coated metal surfaces. The fine-grained nanometric structure of these metal coatings was between 14 nm (tantalum) and 26 nm (gold) and the roughness was in a range of 164 pm (ruthenium) to 246 pm (gold). Antibacterial efficacy of metal surfaces followed the order: gold > tantalum > ruthenium. Interestingly, gold had the strongest inhibitory effect on bacterial growth, as analyzed by LIVE/DEAD and CFU assay. High-magnification SEM images showed dead bacteria characterized by shrinkage induced by metal coatings. We conclude that sputtering might be a new application for the development of antimicrobial surfaces on household appliances and or surgical instruments.
Keyphrases
- atomic force microscopy
- sars cov
- electron microscopy
- silver nanoparticles
- biofilm formation
- pseudomonas aeruginosa
- high resolution
- air pollution
- staphylococcus aureus
- single molecule
- physical activity
- human health
- computed tomography
- photodynamic therapy
- escherichia coli
- magnetic resonance imaging
- coronavirus disease
- risk assessment
- optical coherence tomography
- health risk
- multidrug resistant
- anti inflammatory
- candida albicans
- machine learning
- water soluble
- polycyclic aromatic hydrocarbons
- convolutional neural network
- patient reported outcomes
- acinetobacter baumannii
- light emitting