Conventional regeneration of spent activated carbon from brewer’s spent grain

Abstract

This work studied conventional regeneration of saturated activated carbon using muffle furnace. The activated carbon was prepared from brewer’s spent grain using carbonization and chemical activation with potassium hydroxide. It was saturated with methylene blue dye and regenerated using muffle furnace. Effect of 30% hydrogen peroxide (H202 ) as an oxidant in the regeneration process was studied. Adsorption – regeneration process was studied for six cycles. Regeneration condition was optimized using central composite design (CCD). Effect of regeneration temperature and time on the adsorptive capacity of regenerated carbon was studied for one cycle. Adsorptive capacity and regeneration efficiency were found to decrease with increase in the number of cycles. 30% H202 had a tremendous effect on the adsorptive capacity of the regenerated carbon. The adsorptive capacity increased as the temperature grew from 200°C to 500°C, but dropped after being raised to 6,000°C. Adsorptive capacity increased from 10 minutes to 30 minutes, but declined to 50 minutes. The Quadratic model was used to regenerate a long network of electronics devices. In this experiment, the parameters were exactly what were required for optimal adsorption: temperature of 537.76 degrees Celsius, time of 29.34 minutes, and an initial dye concentration of 100mg/L with estimated adsorptive capacity of 54.2827mg/L. This was an extremely small mistake of 0.02 percent following validation.

Optimization of Bleaching Process of Crude Palm Oil by Activated Plantain (<i>Musa paradisiaca</i>) Peel Ash Using Response Surface Methodology

“…It also employs multiple regression and correlation analyses as tools to assess the effects of two or more independent factors on the dependent variables [11]. RSM has been applied in researches into complex variable processes by many authors to optimize operational conditions of processes [3] [8] [12] [13] [14] [15]. In this study, RSM was used to optimize the bleaching process variables such as temperature, contact time and adsorbent dosage in order to obtain optimum conditions for the bleaching of palm oil using Historical Data Design (HDD).…”