Statistical modeling and optimization of the cadmium biosorption process in an aqueous solution using Aspergillus niger

Amini, Malihe; Younesi, Habibollah; Bahramifar, Nader

doi:10.1016/j.colsurfa.2008.11.053

Cited by 96 publications

(45 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Amini et al also reported similar results for biosorption of cadmium with Aspergillus niger. The optimum values of the variables were found to be 5.96, 30.0 mg/L and 1.6 g/L for initial pH, initial cadmium ion concentration and biomass dosage, respectively (16). A similar effect was reported on cadmium biosorption by an aqueous solution of Saccharomyces cerevisiae.…”

Section: Discussionsupporting

confidence: 60%

Optimization of Affective Parameter on Cadmium Removal From an Aqueous Solution by Citrullus colocynthis Powdered Fruits by Response Surface

2015

View full text Add to dashboard Cite

Background: Cadmium is a toxic metal that occurs naturally in the environment and is considered as a pollutant emanating from industrial and agricultural sources. Biosorption is a very simple and cheap technique for removal of metal pollutants from aqueous samples. Objectives: In this study, removal of cadmium from aqueous solutions using C. colocynthis fruit powder was studied. Materials and Methods:The effect of three parameters such as pH, initial concentration of cadmium and adsorbent dosage were optimized. For investigation of these parameters and exemption of optimal conditions the Box-Behnken design (BBD) was used. Results:The best results for percentage extraction of cadmium by C. colocynthis with BBD design was obtained at pH = 4.5, initial cadmium concentration of 31.22 and adsorbent dosage of 3.75 g/L. Analysis of variance (ANOVA) and R 2 = 0.98 showed that the model was able to predict the removal of cadmium by C. colocynthis fruit powder. Conclusions: Results of this research imply that the adsorption of cadmium was enhanced, by increasing the cadmium concentration and contact time. Based on the ANOVA results, the models report high R2 value of 99% for cadmium removal, which is very high and advocates a high correlation between the observed values and the predicted values.

show abstract

Section: Discussionsupporting

confidence: 60%

Optimization of Affective Parameter on Cadmium Removal From an Aqueous Solution by Citrullus colocynthis Powdered Fruits by Response Surface

2015

View full text Add to dashboard Cite

show abstract

“…Each response was used to develop an empirical model that correlate the response to the three factors that is, rice husk activated carbon preparation variable ( ) and batch adsorption process variables ( , ), using second-order polynomial equation [39][40][41]:…”

Section: Regression Modelmentioning

confidence: 99%

Modeling and Optimization for Production of Rice Husk Activated Carbon and Adsorption of Phenol

Mohammad¹,

Shaibu-Imodagbe²,

Igboro³

et al. 2014

Journal of Engineering

View full text Add to dashboard Cite

Modeling of adsorption process establishes mathematical relationship between the interacting process variables and process optimization is important in determining the values of factors for which the response is at maximum. In this paper, response surface methodology was employed for the modeling and optimization of adsorption of phenol onto rice husk activated carbon. Among the action variables considered are activated carbon pretreatment temperature, adsorbent dosage, and initial concentration of phenol, while the response variables are removal efficiency and adsorption capacity. Regression analysis was used to analyze the models developed. The outcome of this research showed that 99.79% and 99.81% of the variations in removal efficiency and adsorption capacity, respectively, are attributed to the three process variables considered, that is, pretreatment temperature, adsorbent dosage, and initial phenol concentration. Therefore, the models can be used to predict the interaction of the process variables. Optimization tests showed that the optimum operating conditions for the adsorption process occurred at initial solute concentration of 40.61 mg/L, pretreatment temperature of 441.46 ∘ C, adsorbent dosage 4 g, adsorption capacity of 0.9595 mg/g, and removal efficiency of 97.16%. These optimum operating conditions were experimentally validated.

show abstract

“…At the same time, some of them such as silver, copper and lead are precious and can be recycled and reused in varied applications (Anbia and Ghassemian 2011). Toxic heavy metals such as Pb(II) and Cu(II) in liquid effluents are considered as persistent, non-biodegradable, bioaccumulative and therefore seriously threaten natural ecosystems and the human health (Amini et al 2009;Gercel and Gerc 2007;Júnior et al 2009;Mureseanu et al 2008). Industries, such as mining and electroplating, discharge aqueous effluents containing high levels of heavy metals like uranium, mercury, cadmium, lead and copper (Reddad et al 2002;Gavrilescu 2004).…”

Section: Introductionmentioning

confidence: 99%

Adsorption studies of Pb(II) and Cu(II) ions on mesoporous carbon nitride functionalized with melamine-based dendrimer amine

Anbia

Haqshenas

2015

Int. J. Environ. Sci. Technol.

View full text Add to dashboard Cite

Mesoporous carbon nitride functionalized with melamine-based dendrimer amine has been developed. It has been characterized using N 2 adsorption-desorption isotherm, thermogravimetric analysis, Fourier transform spectroscopy and small-angle X-ray scattering techniques. The pore diameter is centered at 4.74 nm with a relatively high BET surface area of 102.2 m 2 /g with a pore volume of 0.12 cm 3 /g. Thermogravimetric analysis curves show that the samples (mesoporous carbon nitride and mesoporous carbon nitride functionalized with melamine-based dendrimer amine) have high thermal stability compared to the earlier species. Batch adsorption experiments were conducted to study the effect of adsorbent dose, temperature, contact time and solution pH for the removal of Pb(II) from aqueous systems. The Pb(II) and Cu(II) removal by mesoporous carbon nitride functionalized with melaminebased dendrimer amine was found to be 196.34 and 199.75 mg/g, respectively. The sorption data are correlated better with the Langmuir adsorption isotherm than Freundlich isotherm. The kinetic analysis has revealed that the overall adsorption process is successfully fitted in the pseudo-second-order kinetic model.

show abstract

Statistical modeling and optimization of the cadmium biosorption process in an aqueous solution using Aspergillus niger

Cited by 96 publications

References 46 publications

Optimization of Affective Parameter on Cadmium Removal From an Aqueous Solution by Citrullus colocynthis Powdered Fruits by Response Surface

Optimization of Affective Parameter on Cadmium Removal From an Aqueous Solution by Citrullus colocynthis Powdered Fruits by Response Surface

Modeling and Optimization for Production of Rice Husk Activated Carbon and Adsorption of Phenol

Adsorption studies of Pb(II) and Cu(II) ions on mesoporous carbon nitride functionalized with melamine-based dendrimer amine

Contact Info

Product

Resources

About