Optimization of process condition for the preparation of amine-impregnated activated carbon developed for CO₂ capture and applied to methylene blue adsorption by response surface methodology

Abstract

The present research describes the optimal adsorption condition for methylene blue (MB). The adsorbent used here was monoethanol amine-impregnated activated carbon (MEA-AC) prepared from green coconut shell. Response surface methodology (RSM) is the multivariate statistical technique used for the optimization of the process variables. The central composite design is used to determine the effect of activation temperature, activation time and impregnation ratio on the MB removal. The percentage (%) MB adsorption by MEA-AC is evaluated as a response of the system. A quadratic model was developed for response. From the analysis of variance, the factor which was the most influential on the experimental design response has been identified. The optimum condition for the preparation of MEA-AC from green coconut shells is the temperature of activation 545.6°C, activation time of 41.64 min and impregnation ratio of 0.33 to achieve the maximum removal efficiency of 98.21%. At the same optimum parameter, the % MB removal from the textile-effluent industry was examined and found to be 96.44%.

Process Optimization Study of Zn2+ Adsorption on Biochar-Alginate Composite Adsorbent by Response Surface Methodology (RSM)

“…Although RSM is a very old optimization tool, its application in the field of Zn 2+ adsorption by Ca-alginate-biochar composite adsorbent is limited and hence this study was undertaken. In recent years a number of statistical design and optimization techniques are successfully adopted in the various industrial sector for optimizing the process variables of leaching and beneficiation of coal, condition optimization for preparation of activated carbon and many more [12][13][14][15][16][17]. The optimization of process variables for adsorptive removal of heavy metal or other organic pollutants is also reported [18][19][20].…”

A systematic literature review on the effects of synthesis conditions to the physicochemical properties of activated carbons and their performance in methylene blue adsorption

“…Next, 93 full-text articles were reviewed, out of which 44 studies were eligible for the qualitative analysis according to the established inclusion criteria. The 44 papers were composed of articles containing the physicochemical and adsorption properties of ACs from the three selected biomass sources with the respective distributions: coconut shell [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22], bamboo [16,[23][24][25][26][27][28][29][30][31][32][33][34] and rice husk [35][36][37][38][39][40][41][42][43][44][45][46][47][48]. The analyses were divided into two categories: (a) synthesis conditions affecting the differences in physicochemical properties of ACs and (b) effects of physicochemical properties onto MB adsorption performance.…”

“…Within the same range of surface area and pore volume, a similar trend in the percentage dye removal could be observed on coconut shell ACs. As mentioned previously, the surface area and the pore volume of coconut shells have been shown to be similar to that of bamboo ACs, although restricted to the carbonization temperatures of 600 -700 o C. Furthermore, higher percentage dye removal may be achieved beyond 10.0 % removal of MB (mg of AC) -1 (mg/L of MB) -1 h -1 at higher surface area and pore volume using different activating agents during the chemical activation step, such as monoethanolamine [12]. Monoethanolamine increased the AC's surface alkalinity when nitrogen functional groups in the amine solution were introduced [12].…”

Optimization of effecting parameters for flue gas desulfurization in a self‐priming venturi scrubber using response surface methodology

“…In the current study, a standard RSM technique, central composite design (CCD), was used to obtain the best fit model and for optimizing the significant independent variables as just minimal experiments are needed in the design and the reaction mechanism need not be known. [ 24 ] CCD typically consists of axial points (2 n ), factorial points (2 n ), and central points ( n c ). The lower level is given as –1, whereas the upper level is coded as +1.…”