Disclosing the Biocide Activity of α-Ag 2-2 x Cu x WO 4 (0 ≤ x ≤ 0.16) Solid Solutions.
Paula Fabiana Dos Santos PereiraCamila Cristina De FoggiAmanda Fernandes GouveiaIvo Mateus PinattiLuís Antônio CabralEva GuillamonIván SorribesMiguel Angel San-MiguelCarlos Eduardo VerganiAlexandre Zirpoli SimõesEdison Z da SilvaLaécio Santos CavalcanteRosa LlusarElson LongoJuan AndrésPublished in: International journal of molecular sciences (2022)
In this work, α-Ag 2-2 x Cu x WO 4 (0 ≤ x ≤ 0.16) solid solutions with enhanced antibacterial (against methicillin-resistant Staphylococcus aureus ) and antifungal (against Candida albicans ) activities are reported. A plethora of techniques (X-ray diffraction with Rietveld refinements, inductively coupled plasma atomic emission spectrometry, micro-Raman spectroscopy, attenuated total reflectance-Fourier transform infrared spectroscopy, field emission scanning electron microscopy, ultraviolet-visible spectroscopy, photoluminescence emissions, and X-ray photoelectron spectroscopy) were employed to characterize the as-synthetized samples and determine the local coordination geometry of Cu 2+ cations at the orthorhombic lattice. To find a correlation between morphology and biocide activity, the experimental results were sustained by first-principles calculations at the density functional theory level to decipher the cluster coordinations and electronic properties of the exposed surfaces. Based on the analysis of the under-coordinated Ag and Cu clusters at the (010) and (101) exposed surfaces, we propose a mechanism to explain the biocide activity of these solid solutions.
Keyphrases
- electron microscopy
- candida albicans
- density functional theory
- high resolution
- biofilm formation
- methicillin resistant staphylococcus aureus
- quantum dots
- raman spectroscopy
- molecular dynamics
- visible light
- aqueous solution
- solid state
- staphylococcus aureus
- single molecule
- highly efficient
- metal organic framework
- pseudomonas aeruginosa
- magnetic resonance
- molecular dynamics simulations
- escherichia coli
- cystic fibrosis
- magnetic resonance imaging
- ionic liquid
- monte carlo
- wound healing