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ZnO/Mg-Al Layered Double Hydroxides as a Photocatalytic Bleaching of Methylene Orange - A Black Box Modeling by Artificial Neural Network

Bulletin of Chemical Reaction Engineering & Catalysis · Vol. ume (2016) · hlm. 299–315

DOI
10.9767/bcrec.11.3.570.299-315
ISSN
1978-2993
Terbit
2016-10-11
Penerbit
Masyarakat Katalis Indonesia - Indonesian Catalyst Society (MKICS)
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

The paper reports the development of ZnO-MgAl layered double hydroxides as an adsorbent-photo catalyst to remove the dye pollutants from aqueous solution and the experiments of a photocatalytic study were designed and modeled by response surface methodology (RSM) and artificial neural network (ANN). The co-precipitation and urea methods were used to synthesize the ZnO-MgAl layered double hydroxides and FT-IR, XRD and SEM analysis were done for characterization of the catalyst.The performance of the ANN model was determined and showed the efficiency of the model in comparison to the RSM method to predict the percentage of dye removal accurately with a determination coefficient (R2) of 0.968. The optimized conditions were obtained as follows: 600 oC, 120 min, 0.05 g and 20 ppm for the calcination temperature, irradiation time, catalyst amount and dye pollutant concentration, respectively.

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  • Urmia University
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Ramin SaeediUrmia University1

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Sumber metadata: OAI-PMH (metadata jurnal) https://journal.bcrec.id/index.php/bcrec/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">ZnO/Mg-Al Layered Double Hydroxides as a Photocatalytic Bleaching of Methylene Orange - A Black Box Modeling by Artificial Neural Network</dc:title>
	<dc:creator>Hosseini, Seyed Ali</dc:creator>
	<dc:creator>Akbari, Mansor</dc:creator>
	<dc:subject xml:lang="en-US">layered double hydroxide; photo catalyst; artificial neural network; response surface methodology; nano composite</dc:subject>
	<dc:description xml:lang="en-US">The paper reports the development of ZnO-MgAl layered double hydroxides as an adsorbent-photo catalyst to remove the dye pollutants from aqueous solution and the experiments of a photocatalytic study were designed and modeled by response surface methodology (RSM) and artificial neural network (ANN). The co-precipitation and urea methods were used to synthesize the ZnO-MgAl layered double hydroxides and FT-IR, XRD and SEM analysis were done for characterization of the catalyst.The performance of the ANN model was determined and showed the efficiency of the model in comparison to the RSM method to predict the percentage of dye removal accurately with a determination coefficient (R2) of 0.968. The optimized conditions were obtained as follows: 600 oC, 120 min, 0.05 g and 20 ppm for the calcination temperature, irradiation time, catalyst amount and dye pollutant concentration, respectively. </dc:description>
	<dc:publisher xml:lang="en-US">Masyarakat Katalis Indonesia - Indonesian Catalyst Society (MKICS)</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2016-10-11</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US"></dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.bcrec.id/index.php/bcrec/article/view/570</dc:identifier>
	<dc:identifier>10.9767/bcrec.11.3.570.299-315</dc:identifier>
	<dc:source xml:lang="en-US">Bulletin of Chemical Reaction Engineering &amp; Catalysis; 2016: BCREC Volume 11 Issue 3 Year 2016 (December 2016); 299-315</dc:source>
	<dc:source>1978-2993</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.bcrec.id/index.php/bcrec/article/view/570/441</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2016 by Authors, Published by BCREC Group</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>