Titanium-Pillared Clay: Preparation Optimization, Characterization, and Artificial Neural Network Modeling

9Citations
Citations of this article
20Readers
Mendeley users who have this article in their library.

Abstract

Titanium-pillared clay (Ti-PILC), as one of the most suitable types of porous adsorbents/(photo)catalysts, was prepared from a local type of Iranian clay and titanium isopropoxide. The production process was optimized by changing three operating parameters, including the clay suspension concentration (in the range of 0.5–10% w/v), the H+ /Ti ratio (2–8 mol/mol), and the calcination temperature (300–700◦ C). The largest specific surface area for the Ti-PILC was about 164 m2 /g under the clay suspension of 0.5% w/v, H+ /Ti = 6, with a surface area 273% larger than that of the raw clay. The surface areas obtained from more concentrated clay suspensions were, however, comparable (159 m2 /g for 3% w/v clay and H+ /Ti = 4). An increase in the calcination temperature has a negative effect on the porous texture of Ti-PILC, but based on modeling with artificial neural networks, its contribution was only 7%. Clay suspension and H+ /Ti ratio play a role of 56 and 37% of the specific surface area. The presence of rutile phase, and in some cases anatase phase of TiO2 crystals was detected. FTIR and SEM investigations of Ti-PILCs produced under different operating parameters were analyzed.

Cite

CITATION STYLE

APA

Mirak, S. H. M., Sharifian, S., Saraei, F. E. K., Asasian-Kolur, N., Haddadi, B., Jordan, C., & Harasek, M. (2022). Titanium-Pillared Clay: Preparation Optimization, Characterization, and Artificial Neural Network Modeling. Materials, 15(13). https://doi.org/10.3390/ma15134502

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free