Open AccessProcess Optimization of Carbon Dioxide Adsorption using Nitrogen-Functionalized Graphene Oxide via Response Surface Methodology Approach
Author(s) -
Fritzie Hannah B. Baldovino,
Nathaniel P. Dugos,
Susan A. Roces,
Armando T. Quitain,
Tetsuya Kida
Publication year - 2018
Publication title -
asean journal of chemical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.153
H-Index - 5
eISSN - 2655-5409
pISSN - 1655-4418
DOI - 10.22146/ajche.49559
Subject(s) - response surface methodology , graphene , adsorption , carbon dioxide , oxide , materials science , nitrogen , central composite design , chemical engineering , carbon fibers , process (computing) , aqueous solution , sorbent , surface modification , inorganic chemistry , chemistry , nanotechnology , composite number , chromatography , computer science , composite material , organic chemistry , engineering , metallurgy , operating system
This paper presents a response surface methodology approach in the optimizationof the carbon dioxide temperature-programmed adsorption process using a new materialreferred as nitrogen-functionalized graphene oxide. This material was synthesized byloading nitrogen groups to graphene oxide using aqueous ammonia in supercriticalcondition. 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.