Development of green photocatalytic geopolymers for dye removal
Adsorption; Aromatic compounds; Blast furnaces; Inorganic polymers; Neural networks; Palm oil; Slags; Titanium dioxide; Depollution; Dye removal; Energy source; Geopolymer; Green; Light irradiations; Methylene Blue; Methylene blue adsorption; Photo-catalytic; Research fields; Geopolymers
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2023
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my.uniten.dspace-268982023-05-29T17:37:38Z Development of green photocatalytic geopolymers for dye removal Asim N. Badiei M. Shakeri M. Emdadi Z. Samsudin N.A. Soltani S. Mohammad M. Amin N. 55902096700 36709214200 55433849200 23488620500 57190525429 56734238700 55453520700 7102424614 Adsorption; Aromatic compounds; Blast furnaces; Inorganic polymers; Neural networks; Palm oil; Slags; Titanium dioxide; Depollution; Dye removal; Energy source; Geopolymer; Green; Light irradiations; Methylene Blue; Methylene blue adsorption; Photo-catalytic; Research fields; Geopolymers The use of photocatalysts for water and air depollution processes that utilize light irradiation as an energy source is a well-known and popular research field. Geopolymers, as new sustainable three-dimensional porous inorganic polymers that have the potential to be tailored and used in different applications, are a novel promising candidate as adsorbent and catalyst for depollution applications. In this study, new green geopolymer photocatalysts were developed using rice husk, rice husk ash, metakaolin, ground granulated blast furnace slag, palm oil fuel ash, and TiO2. The depollution performance of the prepared TiO2-based geopolymers was evaluated using the methylene blue (MB) removal test; the geopolymers exhibited more than 95% efficiency in optimum conditions. Artificial neural network (ANN) was employed to predict the adsorption efficiency/capacity of MB adsorption on the developed geopolymer photocatalyst. The proposed ANN model performed well for the adsorption experimental dataset. MB adsorption on the geopolymer photocatalyst was optimized, and different kinetic theories were applied to the experimental data. The pseudo-second-order model explained the adsorption kinetics most effectively. With the high MB removal performance (higher than 95%) of the selected geopolymers, a new green and sustainable adsorbent could be introduced for wastewater depollution application. � 2022 Elsevier B.V. Final 2023-05-29T09:37:38Z 2023-05-29T09:37:38Z 2022 Article 10.1016/j.matchemphys.2022.126020 2-s2.0-85126851728 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126851728&doi=10.1016%2fj.matchemphys.2022.126020&partnerID=40&md5=be0d25be3160423575587fcb177c128f https://irepository.uniten.edu.my/handle/123456789/26898 283 126020 Elsevier Ltd Scopus |
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Adsorption; Aromatic compounds; Blast furnaces; Inorganic polymers; Neural networks; Palm oil; Slags; Titanium dioxide; Depollution; Dye removal; Energy source; Geopolymer; Green; Light irradiations; Methylene Blue; Methylene blue adsorption; Photo-catalytic; Research fields; Geopolymers |
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55902096700 Asim N. Badiei M. Shakeri M. Emdadi Z. Samsudin N.A. Soltani S. Mohammad M. Amin N. |
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Article |
| author |
Asim N. Badiei M. Shakeri M. Emdadi Z. Samsudin N.A. Soltani S. Mohammad M. Amin N. |
| spellingShingle |
Asim N. Badiei M. Shakeri M. Emdadi Z. Samsudin N.A. Soltani S. Mohammad M. Amin N. Development of green photocatalytic geopolymers for dye removal |
| author_sort |
Asim N. |
| title |
Development of green photocatalytic geopolymers for dye removal |
| title_short |
Development of green photocatalytic geopolymers for dye removal |
| title_full |
Development of green photocatalytic geopolymers for dye removal |
| title_fullStr |
Development of green photocatalytic geopolymers for dye removal |
| title_full_unstemmed |
Development of green photocatalytic geopolymers for dye removal |
| title_sort |
development of green photocatalytic geopolymers for dye removal |
| publisher |
Elsevier Ltd |
| publishDate |
2023 |
| _version_ |
1806428301841924096 |
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13.214268 |