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Titanium-Pillared Clay: Preparation Optimization, Characterization, and Artificial Neural Network Modeling
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 concentratio...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9267874/ https://www.ncbi.nlm.nih.gov/pubmed/35806626 http://dx.doi.org/10.3390/ma15134502 |
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author | Mosavi Mirak, Seyed Heydar Sharifian, Seyedmehdi Esmaeili Khalil Saraei, Fatemeh Asasian-Kolur, Neda Haddadi, Bahram Jordan, Christian Harasek, Michael |
author_facet | Mosavi Mirak, Seyed Heydar Sharifian, Seyedmehdi Esmaeili Khalil Saraei, Fatemeh Asasian-Kolur, Neda Haddadi, Bahram Jordan, Christian Harasek, Michael |
author_sort | Mosavi Mirak, Seyed Heydar |
collection | PubMed |
description | 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 m(2)/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 m(2)/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 TiO(2) crystals was detected. FTIR and SEM investigations of Ti-PILCs produced under different operating parameters were analyzed. |
format | Online Article Text |
id | pubmed-9267874 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-92678742022-07-09 Titanium-Pillared Clay: Preparation Optimization, Characterization, and Artificial Neural Network Modeling Mosavi Mirak, Seyed Heydar Sharifian, Seyedmehdi Esmaeili Khalil Saraei, Fatemeh Asasian-Kolur, Neda Haddadi, Bahram Jordan, Christian Harasek, Michael Materials (Basel) Article 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 m(2)/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 m(2)/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 TiO(2) crystals was detected. FTIR and SEM investigations of Ti-PILCs produced under different operating parameters were analyzed. MDPI 2022-06-26 /pmc/articles/PMC9267874/ /pubmed/35806626 http://dx.doi.org/10.3390/ma15134502 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Mosavi Mirak, Seyed Heydar Sharifian, Seyedmehdi Esmaeili Khalil Saraei, Fatemeh Asasian-Kolur, Neda Haddadi, Bahram Jordan, Christian Harasek, Michael Titanium-Pillared Clay: Preparation Optimization, Characterization, and Artificial Neural Network Modeling |
title | Titanium-Pillared Clay: Preparation Optimization, Characterization, and Artificial Neural Network Modeling |
title_full | Titanium-Pillared Clay: Preparation Optimization, Characterization, and Artificial Neural Network Modeling |
title_fullStr | Titanium-Pillared Clay: Preparation Optimization, Characterization, and Artificial Neural Network Modeling |
title_full_unstemmed | Titanium-Pillared Clay: Preparation Optimization, Characterization, and Artificial Neural Network Modeling |
title_short | Titanium-Pillared Clay: Preparation Optimization, Characterization, and Artificial Neural Network Modeling |
title_sort | titanium-pillared clay: preparation optimization, characterization, and artificial neural network modeling |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9267874/ https://www.ncbi.nlm.nih.gov/pubmed/35806626 http://dx.doi.org/10.3390/ma15134502 |
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