Optimization of Pb(II) biosorption by Robinia tree leaves using statistical design of experiments

Zolgharnein, Javad; Shahmoradi, Ali; Sangi, Mohammad Reza

doi:10.1016/j.talanta.2008.03.039

Cited by 64 publications

(89 citation statements)

References 23 publications

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“…Design of experiments (DOE) and response surface methodology (RSM) is largely used for modeling mechanism parameters, especially in adsorption or removal process [19][20][21][22][23][24][25][26][27][28][29][30][31][32]. Because RSM contains a lower number of experiments, it is flaws over conventional methods available.…”

Section: Introductionmentioning

confidence: 99%

Response Surface Methodology for Adsorption of Fluoride Ion Using Nanoparticle of Zero Valent Iron from Aqueous Solution

Fakhri¹

2013

J Chem Eng Process Technol

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This study is removal of fluoride ion from aqueous solution by nano zero valent iron (nZVI). Effects of the factor variables (temperature, nZVI dose and pH) and their interactions on adsorption of fluoride ion were investigated by response surface methodology (RSM) based on Box-Behnken design (BBD). Optimized values of temperature, nZVI dose and pH for fluoride sorption were found as 313K, 0.5 g, and 4, respectively. The effect of initial fluoride concentration on the adsorption amount was investigated by a batch experiment. For study the fluoride removal mechanism, various adsorption isotherms such as Langmuir, Freundlich and Temkin were fitted. The results showed that the Freundlich isotherm gave high fit for fluoride adsorption. The time of adsorption reaction was rapid and subordinated pseudo-second-order kinetics. The values of thermodynamic parameters indicated that adsorption was spontaneous and endothermic in nature. The nano zero valent iron (nZVI) could be used as a potential adsorbent for fluoride ion containing aqueous solution.

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Section: Introductionmentioning

confidence: 99%

Response Surface Methodology for Adsorption of Fluoride Ion Using Nanoparticle of Zero Valent Iron from Aqueous Solution

Fakhri¹

2013

J Chem Eng Process Technol

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“…All of the standardized effects, which were located at the right of the vertical line, were significant. 1,11,15,16 Thus, m, pH and Cd were determined as effective factors in the biosorption of MB dye. All of the above considerations have been repeated for the capacity sorbent uptake (q).…”

Section: 23mentioning

confidence: 99%

“…[10][11][12] Owing to this fact, many variables, such as the pH, initial concentration of dye (Cd), amount of sorbent (m), shaking speed, contact time and temperature may influence the removal efficiency of the biosorption process. 1,13 In this study, according to previous experiences, 14,15 the influence of the main variables, such as the concentration of dye, amount of sorbent and pH of the solution on the MB biosorption process by Platanus tree leaves has been screened by using a full factorial design. 1,16 The response surface methodology (RSM) through performing a Doehlert matrix design has led to finding an empirical model.…”

Section: Introductionmentioning

confidence: 99%

“…[9][10][11][17][18][19][20] The model clearly describes the relation between the removal percent (R%) and the capacity of a biosorbent (q) of MB with main effective variables and their interactions. 15 According to Derringer's desirability function, the simultaneous optimization of R% and q were carried out. Platanus tree leaves were successfully used as a novel sorbent for removing of methylene blue (MB) dye from aqueous solutions.…”

Section: Introductionmentioning

confidence: 99%

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Optimization of Removal of Methylene Blue by Platanus Tree Leaves Using Response Surface Methodology

et al. 2010

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“…The physical parameters that influence the Ni (II) uptake in a batch system like pH, contact time, initial metal ion concentration and adsorbent dosage were optimized. The combined effect of these factors was determined by experiments that conducted for different combinations of the physical parameters using statistically designed experiments (Zolgharnein et al 2008).…”

Section: Introductionmentioning

confidence: 99%

Response surface methodology optimization of nickel (II) removal using pigeon pea pod biosorbent

Aravind¹,

Lenin²,

Nancyflavia³

et al. 2013

Int. J. Environ. Sci. Technol.

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Pod of pigeon pea (Cajanus cajan), a celluloserich agricultural residue, was investigated for its nickel binding efficiency. The influence of key physicochemical parameters such as contact time, initial metal ion concentration, adsorbent dosage and pH on nickel (II) removal was studied. The equilibrium time was found to be 45 min. The optimum Ni (II) removal was obtained at an initial metal ion concentration of 80 mg/l, pH of 9.0 and an adsorbent dose of 400 mg/100 ml. A search for optimal combination of key variables was studied by response surface methodology for maximum removal of nickel. The experiment encompassing 17 runs was established with the aid of Box-Behnken design. Owing to the reasonable agreement between predicted and adjusted R 2 value (0.9714), the corresponding quadratic model gives the most appropriate relationship between the variables and response. The optimal point obtained was located in the valid region and the optimum adsorption parameters were predicted as an initial Ni (II) concentration of 60 mg/l, pH value of 9.0 and contact time of 75 min. Under these adsorption conditions, a maximum removal of 96.54 % of initial metal concentration was demonstrated.

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Optimization of Pb(II) biosorption by Robinia tree leaves using statistical design of experiments

Cited by 64 publications

References 23 publications

Response Surface Methodology for Adsorption of Fluoride Ion Using Nanoparticle of Zero Valent Iron from Aqueous Solution

Response Surface Methodology for Adsorption of Fluoride Ion Using Nanoparticle of Zero Valent Iron from Aqueous Solution

Optimization of Removal of Methylene Blue by Platanus Tree Leaves Using Response Surface Methodology

Response surface methodology optimization of nickel (II) removal using pigeon pea pod biosorbent

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