4.3 Article

Effective antimicrobial activity of ZnO and Yb-doped ZnO nanoparticles against Staphylococcus aureus and Escherichia coli

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ELSEVIER
DOI: 10.1016/j.msec.2021.112004

关键词

Rare-earth doped; Ytterbium; ZnO nanoparticles; Antimicrobial activity

资金

  1. COECYTJAL through FODECYJAL Program
  2. Tecnologico de Monterrey, Campus Monterrey, through the Research Chair in Nanotechnology and Devices Design
  3. Universidad de Guadalajara [PRO-SNI 2020, 511-6/2020-7045]

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The nanostructured Zn1-xYbxO powders prepared with polyvinyl alcohol and sucrose showed retained hexagonal wurtzite structure, increased optical band gap with higher ytterbium content, and potential antimicrobial effect against Staphylococcus aureus and Escherichia coli. These results were utilized in an artificial neural network model for absorbance prediction with good precision.
Nanostructured Zn1-xYbxO (0.0 < x < 0.1) powders were prepared by the solution method using polyvinyl alcohol (PVA) and sucrose. The effect of the ytterbium doping content on the structural, morphological, optical and antimicrobial properties was analyzed. X-ray diffraction (XRD) analysis revealed that the hexagonal wurtzite structure was retained, and no secondary phases due to doping were observed. The crystallite size was under 20 nm for all the Zn1-xYbxO (0.0 < x < 0.1) powders. The optical band gap was calculated, and the results revealed that this value increased with the ytterbium content, and the Eg values varied from 3.06 to 3.10 eV. The surface chemistry of the powders was analyzed using X-ray photoelectron spectroscopy (XPS), and the results confirmed the oxidation state of ytterbium as 3+ for all the samples. Zn1-xYbxO (0.0 < x < 0.1) nanoparticles were tested as antimicrobial agents against Staphylococcus aureus and Escherichia coli, resulting in a potential antimicrobial effect at most of the tested concentrations. These results were used in an artificial neural network (ANN). The results showed that it is possible to generate a model capable of forecasting the absorbance with good precision (error of 1?2%).

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