Mathematical modelling and prediction of Congo red adsorption on cherry stones activated carbon
The present paper was aimed to establish mathematical models useful to reduce the time required to discover the appropriate adsorption conditions of Congo Red (an intensively used organic dye) on an activated carbon prepared from cherry stones through calcination. To this purpose, various values of...
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| Veröffentlicht in: | Studia Universitatis Babeș-Bolyai. Chemia 2019-06, Vol.64 (2 T1), p.139-157 |
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| container_title | Studia Universitatis Babeș-Bolyai. Chemia |
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| creator | Simion, Andrei Grigoraș, Cristina Favier, Lidia Gavrilă, Lucian |
| description | The present paper was aimed to establish mathematical models useful to reduce the time required to discover the appropriate adsorption conditions of Congo Red (an intensively used organic dye) on an activated carbon prepared from cherry stones through calcination. To this purpose, various values of three parameters known as influencing the process, namely dye initial concentration (200 mg/L to 1000 mg/L), pH (2 to 12) and contact time (10 to 180 minutes) between the adsorbent and the adsorbate were variated. The recorded results of the adsorption process were used as data for Response Surface Methodology and Artificial Neural Network and several mathematical equations were generated. The conducted statistical analyses revealed that these equations can accurately express the Congo Red elimination from aqueous solutions. Moreover, the developed procedure is able to predict the process evolution in different conditions than those experimentally tested. Keywords: Adsorption, Artificial Neural Network, cherry stone, Congo Red, mathematical modelling, Response Surface Methodology, water treatment |
| doi_str_mv | 10.24193/subbchem.2019.2.12 |
| format | Article |
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Rennes, Ecole Nationale Supérieure de Chimie de Rennes; CNRS, UMR 6226; 11 Allée de Beaulieu, CS 50837, 35708 Rennes Cedex 7, France "</creatorcontrib><description>The present paper was aimed to establish mathematical models useful to reduce the time required to discover the appropriate adsorption conditions of Congo Red (an intensively used organic dye) on an activated carbon prepared from cherry stones through calcination. To this purpose, various values of three parameters known as influencing the process, namely dye initial concentration (200 mg/L to 1000 mg/L), pH (2 to 12) and contact time (10 to 180 minutes) between the adsorbent and the adsorbate were variated. The recorded results of the adsorption process were used as data for Response Surface Methodology and Artificial Neural Network and several mathematical equations were generated. The conducted statistical analyses revealed that these equations can accurately express the Congo Red elimination from aqueous solutions. 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Rennes, Ecole Nationale Supérieure de Chimie de Rennes; CNRS, UMR 6226; 11 Allée de Beaulieu, CS 50837, 35708 Rennes Cedex 7, France "</creatorcontrib><title>Mathematical modelling and prediction of Congo red adsorption on cherry stones activated carbon</title><title>Studia Universitatis Babeș-Bolyai. Chemia</title><description>The present paper was aimed to establish mathematical models useful to reduce the time required to discover the appropriate adsorption conditions of Congo Red (an intensively used organic dye) on an activated carbon prepared from cherry stones through calcination. To this purpose, various values of three parameters known as influencing the process, namely dye initial concentration (200 mg/L to 1000 mg/L), pH (2 to 12) and contact time (10 to 180 minutes) between the adsorbent and the adsorbate were variated. The recorded results of the adsorption process were used as data for Response Surface Methodology and Artificial Neural Network and several mathematical equations were generated. The conducted statistical analyses revealed that these equations can accurately express the Congo Red elimination from aqueous solutions. Moreover, the developed procedure is able to predict the process evolution in different conditions than those experimentally tested. 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Rennes, Ecole Nationale Supérieure de Chimie de Rennes; CNRS, UMR 6226; 11 Allée de Beaulieu, CS 50837, 35708 Rennes Cedex 7, France "</creatorcontrib><collection>CrossRef</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Studia Universitatis Babeș-Bolyai. Chemia</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Simion, Andrei</au><au>Grigoraș, Cristina</au><au>Favier, Lidia</au><au>Gavrilă, Lucian</au><aucorp>Faculty of Engineering</aucorp><aucorp>Vasile Alecsandri” University of Bacău</aucorp><aucorp>Calea Mărășești 157, RO-600115, Bacău, România</aucorp><aucorp>Vasile Alecsandri” University of Bacău; Faculty of Engineering; Department of Food and Chemical Engineering; Calea Mărășești 157, RO-600115, Bacău, România</aucorp><aucorp>Department of Food and Chemical Engineering</aucorp><aucorp>"Univ. 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| source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | Adsorption Analysis Artificial neural networks Chemical Sciences Mathematical models Printing industry |
| title | Mathematical modelling and prediction of Congo red adsorption on cherry stones activated carbon |
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