Process optimization of carbon dioxide adsorption using nitrogen-functionalized graphene oxide via response surface methodology approach

This paper presents a response surface methodology approach in the optimization of the carbon dioxide temperature-programmed adsorption process using a new material referred as nitrogen-functionalized graphene oxide. This material was synthesized by loading nitrogen groups to graphene oxide using aq...

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Main Authors: Baldovino, Fritzie Hannah B., Dugos, Nathaniel P., Roces, Susan A., Quitain, Armando T., Kida, Tetsuya
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Published: Animo Repository 2017
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/1625
https://animorepository.dlsu.edu.ph/context/faculty_research/article/2624/type/native/viewcontent
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-26242021-07-08T00:46:47Z Process optimization of carbon dioxide adsorption using nitrogen-functionalized graphene oxide via response surface methodology approach Baldovino, Fritzie Hannah B. Dugos, Nathaniel P. Roces, Susan A. Quitain, Armando T. Kida, Tetsuya This paper presents a response surface methodology approach in the optimization of the carbon dioxide temperature-programmed adsorption process using a new material referred as nitrogen-functionalized graphene oxide. This material was synthesized by loading nitrogen groups to graphene oxide using aqueous ammonia in supercritical condition. Later on, it was utilized as a sorbent for carbon dioxide adsorption. This process was optimized by implementing a response surface methodology coupled with a Box-Behnken design for the effects of three factors: adsorption temperature, carbon dioxide flow rate, and the amount of adsorbent. In analyzing the response surface, a model equation was generated based on the experimental data by regression analysis. This model equation was then utilized to predict optimum values of response. Furthermore, response optimizer was also conducted in identifying factor combination settings that jointly optimize the best response. © 2018, Gadjah Mada University. All rights reserved. 2017-01-01T08:00:00Z text text/html https://animorepository.dlsu.edu.ph/faculty_research/1625 https://animorepository.dlsu.edu.ph/context/faculty_research/article/2624/type/native/viewcontent Faculty Research Work Animo Repository Ammonia Carbon dioxide—Absorption and adsorption Oxides Chemical Engineering
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic Ammonia
Carbon dioxide—Absorption and adsorption
Oxides
Chemical Engineering
spellingShingle Ammonia
Carbon dioxide—Absorption and adsorption
Oxides
Chemical Engineering
Baldovino, Fritzie Hannah B.
Dugos, Nathaniel P.
Roces, Susan A.
Quitain, Armando T.
Kida, Tetsuya
Process optimization of carbon dioxide adsorption using nitrogen-functionalized graphene oxide via response surface methodology approach
description This paper presents a response surface methodology approach in the optimization of the carbon dioxide temperature-programmed adsorption process using a new material referred as nitrogen-functionalized graphene oxide. This material was synthesized by loading nitrogen groups to graphene oxide using aqueous ammonia in supercritical condition. Later on, it was utilized as a sorbent for carbon dioxide adsorption. This process was optimized by implementing a response surface methodology coupled with a Box-Behnken design for the effects of three factors: adsorption temperature, carbon dioxide flow rate, and the amount of adsorbent. In analyzing the response surface, a model equation was generated based on the experimental data by regression analysis. This model equation was then utilized to predict optimum values of response. Furthermore, response optimizer was also conducted in identifying factor combination settings that jointly optimize the best response. © 2018, Gadjah Mada University. All rights reserved.
format text
author Baldovino, Fritzie Hannah B.
Dugos, Nathaniel P.
Roces, Susan A.
Quitain, Armando T.
Kida, Tetsuya
author_facet Baldovino, Fritzie Hannah B.
Dugos, Nathaniel P.
Roces, Susan A.
Quitain, Armando T.
Kida, Tetsuya
author_sort Baldovino, Fritzie Hannah B.
title Process optimization of carbon dioxide adsorption using nitrogen-functionalized graphene oxide via response surface methodology approach
title_short Process optimization of carbon dioxide adsorption using nitrogen-functionalized graphene oxide via response surface methodology approach
title_full Process optimization of carbon dioxide adsorption using nitrogen-functionalized graphene oxide via response surface methodology approach
title_fullStr Process optimization of carbon dioxide adsorption using nitrogen-functionalized graphene oxide via response surface methodology approach
title_full_unstemmed Process optimization of carbon dioxide adsorption using nitrogen-functionalized graphene oxide via response surface methodology approach
title_sort process optimization of carbon dioxide adsorption using nitrogen-functionalized graphene oxide via response surface methodology approach
publisher Animo Repository
publishDate 2017
url https://animorepository.dlsu.edu.ph/faculty_research/1625
https://animorepository.dlsu.edu.ph/context/faculty_research/article/2624/type/native/viewcontent
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