Charge Properties of TiO2 Nanotubes in NaNO3 Aqueous Solution.
Mario ŠpadinaSimon Gourdin-BertinGoran DražićAtiđa SelmaniJean-François DufrêcheKlemen BohincPublished in: ACS applied materials & interfaces (2018)
Charging of material surfaces in aqueous electrolyte solutions is one of the most important processes in the interactions between biomaterials and surrounding tissue. Other than a biomaterial, titania nanotubes (TiO2 NTs) represent a versatile material for numerous applications such as heavy metal adsorption or photocatalysis. In this article, the surface charge properties of titania NTs in NaNO3 solution were investigated through electrophoretic mobility and polyelectrolyte colloid titration measuring techniques. In addition, we used high-resolution transmission electron microscopy imaging to determine the morphology of TiO2 NTs. A theoretical model based on the classical density functional theory coupled with the charge regulation method in terms of mass action law was developed to understand the experimental data and to provide insights into charge properties at different physical conditions, namely, pH and NaNO3 concentration. Two intrinsic protonation constants and surface site density have been obtained. The electrostatic properties of the system in terms of electrostatic potentials and ion distributions were calculated and discussed for various pH values. The model can quantitatively describe the titration curve as a function of pH for higher bulk salt concentrations and the difference in the equilibrium amount of charges between the inner and outer surfaces of TiO2 NTs. Calculated counterion (NO3-) distributions show a pronounced decrease of NO3- ions for high bulk pH (both inside and outside TiO2 NT) because of the strong electric field. With the decrease of bulk pH or the increase of the salt concentration, NO3- is able to accumulate near the TiO2 NTs surfaces.
Keyphrases
- aqueous solution
- visible light
- quantum dots
- high resolution
- density functional theory
- heavy metals
- molecular dynamics
- electron microscopy
- biofilm formation
- molecular dynamics simulations
- solar cells
- mental health
- ionic liquid
- risk assessment
- pseudomonas aeruginosa
- escherichia coli
- tissue engineering
- cystic fibrosis
- photodynamic therapy
- health risk
- atomic force microscopy
- big data
- artificial intelligence