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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Puzyn, Tomasz
University of Gdańsk
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (8/8 displayed)
- 2021Zeta potentials (ζ) of metal oxide nanoparticles: a meta-analysis of experimental data and a predictive neural networks modelingcitations
- 2020Relatively high-Seebeck thermoelectric cells containing ionic liquids supplemented by cobalt redox couplecitations
- 2018Implementation of a dynamic intestinal gut-on-a-chip barrier model for transport studies of lipophilic dioxin congenerscitations
- 2018Rare earth ions doped K2Ta2O6 photocatalysts with enhanced UV-vis light activitycitations
- 2017Which structural features stand behind micelization of ionic liquids? Quantitative Structure-Property Relationship studiescitations
- 2015Zeta potential for metal oxide nanoparticles: a predictive model developed by a nano-quantitative structure-property relationship approachcitations
- 2011Estimating persistence of brominated and chlorinated organic pollutants in air, water, soil, and sediments with the QSPR-based classification schemecitations
- 2008Calculation of quantum-mechanical descriptors for QSPR at the DFT level: is it necessary?citations
Places of action
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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).