Process Optimization of Carbon Dioxide Adsorption using Nitrogen-Functionalized Graphene Oxide via Response Surface Methodology Approach

https://doi.org/10.22146/ajche.49559

Fritzie Hannah B. Baldovino(1), Nathaniel P. Dugos(2*), Susan A. Roces(3), Armando T. Quitain(4), Tetsuya Kida(5)

(1) Chemical Engineering Department, Gokongwei College of Engineering, De La Salle University, 2401 Taft Avenue, 0922 Manila, Philippines
(2) Chemical Engineering Department, Gokongwei College of Engineering, De La Salle University, 2401 Taft Avenue, 0922 Manila, Philippines
(3) Chemical Engineering Department, Gokongwei College of Engineering, De La Salle University, 2401 Taft Avenue, 0922 Manila, Philippines
(4) Graduate School of Science and Technology, Kumamoto University, 2-39-1 Kurokami, Chuo-ku, Kumamoto 860-8555, Japan
(5) Graduate School of Science and Technology, Kumamoto University, 2-39-1 Kurokami, Chuo-ku, Kumamoto 860-8555, Japan
(*) Corresponding Author

Abstract


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.


Keywords


carbon dioxide adsorption; graphene oxide; functionalization; ammonia; response surface methodology, nitrogen-functionalized graphene oxide

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References

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DOI: https://doi.org/10.22146/ajche.49559

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