Modelling the growth of hydrothermally synthesised bactericidal nanostructures, as a function of processing conditions

Alka Jaggessar; Prasad K D V Yarlagadda

doi:10.1016/j.msec.2019.110434

Modelling the growth of hydrothermally synthesised bactericidal nanostructures, as a function of processing conditions

Mater Sci Eng C Mater Biol Appl. 2020 Mar:108:110434. doi: 10.1016/j.msec.2019.110434. Epub 2019 Nov 15.

Authors

Alka Jaggessar¹, Prasad K D V Yarlagadda²

Affiliations

¹ Institute of Health and Biomedical Innovation, Queensland University of Technology, 60 Musk Avenue, Kelvin Grove, Queensland 4056, Australia; School of Chemistry, Physics and Mechanical Engineering, Science and Engineering Faculty, Queensland University of Technology, 2 George Street, Brisbane, Queensland 4000, Australia.
² Institute of Health and Biomedical Innovation, Queensland University of Technology, 60 Musk Avenue, Kelvin Grove, Queensland 4056, Australia; School of Chemistry, Physics and Mechanical Engineering, Science and Engineering Faculty, Queensland University of Technology, 2 George Street, Brisbane, Queensland 4000, Australia. Electronic address: y.prasad@qut.edu.au.

PMID: 31924013
DOI: 10.1016/j.msec.2019.110434

Abstract

In recent times, large research focus has been placed on nanostructured materials as a method of killing bacteria. Previous work in this area has found that hydrothermally synthesised TiO₂ nanostructures show antibacterial behaviour against Gram-positive and Gram-negative bacteria strains. Various sources postulate that certain surface properties, such as wettability and structure dimensions are responsible for, and influence bactericidal efficiency of nanostructured surfaces. Our most recent work found that bactericidal efficiency is statistically linked to nanostructure height, leading to the demand for a method of predicting and designing nanostructure height prior to fabrication. This work uses experimental data from hydrothermal synthesis processes, in combination with IBM SPSS Statistics to form a prediction of nanostructure height, as a function of hydrothermal process parameters (NaOH concentration, reaction time and reaction temperature). Experimental validation shows that the model has a 0.5-8.5% error, accurately predicting the height of TiO₂ structures formed via hydrothermal synthesis. In addition, these samples exhibited bactericidal behaviour against both S. aureus and P. aeruginosa bacterial cells.

Keywords: Bactericidal nanostructures; Hydrothermal model; Hydrothermal synthesis; Nanostructure growth; Nanostructure height.

MeSH terms

Anti-Bacterial Agents* / chemical synthesis
Anti-Bacterial Agents* / chemistry
Anti-Bacterial Agents* / pharmacology
Nanostructures / chemistry*
Pseudomonas aeruginosa / growth & development*
Staphylococcus aureus / growth & development*

Substances

Anti-Bacterial Agents