Response Surface Methodology for Optimization of Cd (II) Biosorption by Cystoseria myricaas

Niad, Mahmood; Zaree, Saeid; Tahanzadeh, Navid

doi:10.17795/jmb-6264

Cited by 7 publications

(4 citation statements)

References 15 publications

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“…The optimum conditions for maximum removal of cadmium by Cystoseria myricaas from aqueous solutions were observed at cadmium concentration of 150 mg/L, temperature 40 °C, pH = 3, adsorbent dose of 5 g/L with 75 min contact time. Under these conditions, the maximum removal percentage of cadmium was 87.03% 57 . Henriques et al .…”

Section: Resultsmentioning

confidence: 90%

Statistical optimization for cadmium removal using Ulva fasciata biomass: Characterization, immobilization and application for almost-complete cadmium removal from aqueous solutions

El‐Naggar

Hamouda

Mousa

et al. 2018

Sci Rep

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Cadmium is a global heavy metal pollutant. Marine green algae were used as efficient, low cost and eco-friendly biosorbent for cadmium ions removal from aqueous solutions. Plackett-Burman design was applied to determine the most significant factors for maximum cadmium removal from aqueous solutions using dry Ulva fasciata biomass. The most significant factors affecting cadmium removal process were further optimized by the face centered central composite design. The results indicated that 4 g of dry Ulva fasciata biomass was found to successfully remove 99.96% of cadmium from aqueous solution under the conditions of 200 mg/L of initial cadmium concentration at pH 5, 25 °C for 60 min of contact time with static condition. Dry Ulva fasciata biomass samples before and after cadmium biosorption were analyzed using SEM, EDS and FTIR. Furthermore, the immobilized biomass in sodium alginate-beads removed 99.98% of cadmium from aqueous solution at an initial concentration of 200 mg/L after 4 h which is significantly higher than that for control using sodium alginate beads without incorporation of the algal biomass (98.19%). Dry biomass of Ulva fasciata was proven to be cost-effective and efficient to eliminate heavy metals especially cadmium from aquatic effluents and the process is feasible, reliable and eco-friendly.

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Section: Resultsmentioning

confidence: 90%

Statistical optimization for cadmium removal using Ulva fasciata biomass: Characterization, immobilization and application for almost-complete cadmium removal from aqueous solutions

El‐Naggar

Hamouda

Mousa

et al. 2018

Sci Rep

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“…The graphical illustration of the response surface of the adsorbed amount of cadmium ions relative to the four variables was used to attain understanding of interactions between variables and validate the optimal level of each variable to a maximum adsorption value [31][32][33]. The surface plots of percentage removal of cadmium versus the (Fig.…”

Section: Response Surface Plotsmentioning

confidence: 99%

Response surface methodology (RSM) for optimization of cadmium ions adsorption using C16-6-16 incorporated mesoporous MCM-41

et al. 2019

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C 16-6-16 incorporated mesoporous MCM-41 was investigated as an effective adsorbent for the adsorption of cadmium ions from the aqueous medium. Adsorption process was affected by different physiochemical factors such as pH, initial concentration, temperature and contact time. Optimization of experimental data was done to find out best optimal conditions using response surface methodology. Twenty nine trials were runs according to Box-Behnken design. Quadratic model was found to be best fit with maximum R 2 value 0.9954 and gives the suitable relationship between the variables and response. The optimal parameters were obtained for adsorption of cadmium ions on to C 16-6-16 incorporated mesoporous MCM 41. The results showed that the adsorption conditions have considerable effects on the removal of cadmium ions.

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“…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]. However, optimization of adsorption of Zn 2+ on such novel composite adsorbent has not been reported yet.…”

Section: Introductionmentioning

confidence: 99%

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

Biswas

Bal

Behera

et al. 2019

Water

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A novel biochar alginate composite adsorbent was synthesized and applied for removal of Zn2+ ions from aqueous solution. Kinetics, equilibrium and thermodynamic studies showed the suitability of the adsorbent. From a Langmuir isotherm study, the maximum monolayer adsorption capacity of the composite adsorbent was found to be 120 mg/g. To investigate the effect of process variables like initial Zn2+ concentration (25–100 mg/L), adsorbent dose (0.4–8 g/L) and temperature (298–318 K) on Zn2+ adsorption, response surface methodology (RSM) based on a three independent variables central composite design of experiments was employed. A quadratic model equation was developed to predict the relationship between the independent variables and response for maximum Zn2+ removal. The optimization study reveals that the initial Zn2+ concentration and adsorbent dose were the most effective parameters for removal of Zn2+ due to higher magnitude of F-statistic value which effects to a large extent of Zn2+ removal. The optimum physicochemical condition for maximum removal of Zn2+ was determined from the RSM study. The optimum conditions are 43.18 mg/L initial metal ion concentration, 0.062 g adsorbent dose and a system temperature of 313.5 K. At this particular condition, the removal efficiency of Zn2+ was obtained as 85%.

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Response Surface Methodology for Optimization of Cd (II) Biosorption by Cystoseria myricaas

Cited by 7 publications

References 15 publications

Statistical optimization for cadmium removal using Ulva fasciata biomass: Characterization, immobilization and application for almost-complete cadmium removal from aqueous solutions

Statistical optimization for cadmium removal using Ulva fasciata biomass: Characterization, immobilization and application for almost-complete cadmium removal from aqueous solutions

Response surface methodology (RSM) for optimization of cadmium ions adsorption using C16-6-16 incorporated mesoporous MCM-41

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

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