| People | Locations | Statistics |
|---|---|---|
| Naji, M. |
| |
| Motta, Antonella |
| |
| Aletan, Dirar |
| |
| Mohamed, Tarek |
| |
| Ertürk, Emre |
| |
| Taccardi, Nicola |
| |
| Kononenko, Denys |
| |
| Petrov, R. H. | Madrid |
|
| Alshaaer, Mazen | Brussels |
|
| Bih, L. |
| |
| Casati, R. |
| |
| Muller, Hermance |
| |
| Kočí, Jan | Prague |
|
| Šuljagić, Marija |
| |
| Kalteremidou, Kalliopi-Artemi | Brussels |
|
| Azam, Siraj |
| |
| Ospanova, Alyiya |
| |
| Blanpain, Bart |
| |
| Ali, M. A. |
| |
| Popa, V. |
| |
| Rančić, M. |
| |
| Ollier, Nadège |
| |
| Azevedo, Nuno Monteiro |
| |
| Landes, Michael |
| |
| Rignanese, Gian-Marco |
|
Mikołajczyk, Alicja
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (4/4 displayed)
- 2021Zeta potentials (ζ) of metal oxide nanoparticles: a meta-analysis of experimental data and a predictive neural networks modelingcitations
- 2019Experimental and theoretical investigations of the influence of carbon on a Ho3+-TiO2 photocatalyst with Vis responsecitations
- 2018Rare earth ions doped K2Ta2O6 photocatalysts with enhanced UV-vis light activitycitations
- 2015Zeta potential for metal oxide nanoparticles: a predictive model developed by a nano-quantitative structure-property relationship approachcitations
Places of action
| Organizations | Location | People |
|---|
article
Zeta potentials (ζ) of metal oxide nanoparticles: a meta-analysis of experimental data and a predictive neural networks modeling
Abstract
Zeta potential is usually measured to estimate the surface charge and the stability of nanomaterials, as changes inthese characteristics directly influence the biological activity of a given nanoparticle. Nowadays, theoreticalmethods are commonly used for a pre-screening safety assessments of nanomaterials. At the same time, theconsistency of data on zeta potential measurements in the context of environmental impact is an importantchallenge. The inconsistency of data measurements leads to inaccuracies in predictive modeling. In this article,we report a new curated dataset of zeta potentials measured for 208 silica- and metal oxide nanoparticles indifferent media. We discuss the data curation framework for zeta potentials designed to assess the quality andusefulness of the literature data for further computational modeling. We also provide an analysis of specifictrends for the datapoints harvested from different literature sources. In addition to that, we present for the firsttime a structure-property relationship model for nanoparticles (nano-SPR) that predicts values of zeta potentialvalues measured in different environmental conditions (i.e., biological media and pH).