“…The kinetic experiments of Cr (VI) removal were analyzed using the non-linear form of the pseudo-first-order, pseudo-second-order and Elovich models (Huynh et al 2020;Mohammed et al 2020). The kinetics of PSh data obtained from the experiments of concentration of 100 mg/Lat various contact times, and optimum conditions obtained previously along with the equations and constants are shown in Table 8.…”
In this study, response surface methodology (RSM) approach using central composite design (CCD) was investigated to develop mathematical model and to optimize the effects of pH, adsorbent amount and temperature related to the hexavalent chromium removal by biosorption on peanut shells (PSh). The highest removal percentage of 30.28% was found by the predicted model under the optimum conditions (pH of 2.11, 0.73 g of PSh and 37.2 °C) for a 100 mg/L initial Cr (VI) concentration, which was very near to the experimental value (29.92%). The PSh was characterized by SEM, EDX, FTIR, BET, XRD analysis. Moreover, Langmuir isotherm fitted well (R2 = 0.992) with the experimental data, and the maximum adsorption capacity was discovered to be 2.48 and 3.49 mg/g respectively at 25 and 45 °C. Kinetic data was well foreseen by pseudo second order. Thermodynamic study depicted that biosorption of Cr(VI) onto PSh was spontaneous and endothermic. Regeneration of the PSh using NaOH showed a loss <5% in the Cr (VI) removal efficiency till three recycle runs. In summary, the Cr (VI) removal onto economic, sensitive and selective biosorbent (PSh) optimized using CCD to study biosorption behaviors.
“…The kinetic experiments of Cr (VI) removal were analyzed using the non-linear form of the pseudo-first-order, pseudo-second-order and Elovich models (Huynh et al 2020;Mohammed et al 2020). The kinetics of PSh data obtained from the experiments of concentration of 100 mg/Lat various contact times, and optimum conditions obtained previously along with the equations and constants are shown in Table 8.…”
In this study, response surface methodology (RSM) approach using central composite design (CCD) was investigated to develop mathematical model and to optimize the effects of pH, adsorbent amount and temperature related to the hexavalent chromium removal by biosorption on peanut shells (PSh). The highest removal percentage of 30.28% was found by the predicted model under the optimum conditions (pH of 2.11, 0.73 g of PSh and 37.2 °C) for a 100 mg/L initial Cr (VI) concentration, which was very near to the experimental value (29.92%). The PSh was characterized by SEM, EDX, FTIR, BET, XRD analysis. Moreover, Langmuir isotherm fitted well (R2 = 0.992) with the experimental data, and the maximum adsorption capacity was discovered to be 2.48 and 3.49 mg/g respectively at 25 and 45 °C. Kinetic data was well foreseen by pseudo second order. Thermodynamic study depicted that biosorption of Cr(VI) onto PSh was spontaneous and endothermic. Regeneration of the PSh using NaOH showed a loss <5% in the Cr (VI) removal efficiency till three recycle runs. In summary, the Cr (VI) removal onto economic, sensitive and selective biosorbent (PSh) optimized using CCD to study biosorption behaviors.
In this research, biosorption of Lead using spent Gelidiella acerosa from synthetic aqueous phase was studied in batch and fixed bed modes. Biosorbent was prepared from waste biomass of Gelidiella acerosa after extraction of agar as a model industrial waste recycle. The process efficiency and optimum lead uptake were evaluated by considering initial pH, lead concentration, and biosorbent dosage as process variables and contact time and temperature as fixed parameters. Central composite design of Response Surface Methodology was used to optimize process parameters and ANOVA showed that initial pH of lead solution significantly influences the biosorption.Interaction effects of different process parameters on process efficiency were analyzed with the help of surface response plots. The highest lead biosorption of 90.75% was noticed at optimum conditions of pH 5.15, initial lead concentration 27.35 mg L −1 and biosorbent dosage 0.04 g. Various kinetic equations were used to analyze the biosorption mechanism and found that metal binding is due to chemical reaction with multi stage mass transfer. Langmuir isotherm was found to be well fitted to equilibrium data.Column studies were also conducted to assess the suitability of the process to continuous operations. The most popular Thomas and Yoon nelson models were used to evaluate the fitness of column studies. Biosorbent was characterized using FTIR and SEM to determine surface functional groups and surface texture.
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