Modeling and optimization for adsorption of thorium (IV) ions using nano Gd:ZnO: application of response surface methodology (RSM) and artificial neural network (ANN)-Reference-Cited by-同舟云学术

Modeling and optimization for adsorption of thorium (IV) ions using nano Gd:ZnO: application of response surface methodology (RSM) and artificial neural network (ANN)

Published:2022-05-04 Issue: Volume: Page:1-11
ISSN:2470-1556
Container-title:Inorganic and Nano-Metal Chemistry
language:en
Short-container-title:Inorganic and Nano-Metal Chemistry

Author:

Kaynar Umit H.¹^ORCID

Affiliation:

1. Faculty of Engineering and Architecture, Department of Fundamental Sciences, Bakırcay University, Menemen, Izmir, Turkey

Funder

Turkish Scientific Research Council

TUBITAK-1001

Publisher

Informa UK Limited

Subject

Inorganic Chemistry,Physical and Theoretical Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/24701556.2022.2072345

Reference47 articles.

1. Removal of uranium (VI) from aqueous solution by adsorption of hematite

2. Removal of thorium and uranium from aqueous solution by adsorption on hydrated manganese dioxide

3. Crystallization kinetics and morphology of biodegradable poly(l-lactic acid)/graphene oxide nanocomposites: Influences of graphene oxide loading and crystallization temperature

4. Sorption of uranium(VI) from aqueous solutions by DEEA organo-volcanic: isotherms, kinetic and thermodynamic studies

5. Phenol adsorption in organo-modified basaltic clay and bentonite

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