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Development of green photocatalytic geopolymers for dye removal

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dc.citedby1
dc.contributor.authorAsim N.en_US
dc.contributor.authorBadiei M.en_US
dc.contributor.authorShakeri M.en_US
dc.contributor.authorEmdadi Z.en_US
dc.contributor.authorSamsudin N.A.en_US
dc.contributor.authorSoltani S.en_US
dc.contributor.authorMohammad M.en_US
dc.contributor.authorAmin N.en_US
dc.contributor.authorid55902096700en_US
dc.contributor.authorid36709214200en_US
dc.contributor.authorid55433849200en_US
dc.contributor.authorid23488620500en_US
dc.contributor.authorid57190525429en_US
dc.contributor.authorid56734238700en_US
dc.contributor.authorid55453520700en_US
dc.contributor.authorid7102424614en_US
dc.date.accessioned2023-05-29T09:37:38Z
dc.date.available2023-05-29T09:37:38Z
dc.date.issued2022
dc.descriptionAdsorption; 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; Geopolymersen_US
dc.description.abstractThe 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.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo126020
dc.identifier.doi10.1016/j.matchemphys.2022.126020
dc.identifier.scopus2-s2.0-85126851728
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85126851728&doi=10.1016%2fj.matchemphys.2022.126020&partnerID=40&md5=be0d25be3160423575587fcb177c128f
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/26898
dc.identifier.volume283
dc.publisherElsevier Ltden_US
dc.sourceScopus
dc.sourcetitleMaterials Chemistry and Physics
dc.titleDevelopment of green photocatalytic geopolymers for dye removalen_US
dc.typeArticleen_US
dspace.entity.typePublication
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