MODELING OF COPPER REMOVAL FROM AQUEOUS SOLUTION BY POPULUS NIGRA SAWDUST USING CENTRAL COMPOSITE DESIGN

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ASADZADEH F.; BARIN M.

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Journal: Journal of Wood and Forest Science and Technology Year:2016 | Volume:23 | Issue:3 Page(s): 163-145

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Title

MODELING OF COPPER REMOVAL FROM AQUEOUS SOLUTION BY POPULUS NIGRA SAWDUST USING CENTRAL COMPOSITE DESIGN

Author(s)

ASADZADEH F. | BARIN M. | Issue Writer Certificate

Keywords

WATER POLLUTIONQ2

HEAVY METALSQ2

BIOADSORBENTQ1

MODELINGQ1

Abstract

Background and objectives: The release of HEAVY METALS into the environment, especially to the water resources is one of the main environmental concerns of the last few years. Copper is a common heavy metal in agricultural and industrial activities which significantly contributes to the pollution of surface and ground water resources. Since copper is a widely used material, its removal from aqueous solutions is a main challenge in water purification. Sawdust as a cost effective and locally available bio adsorbent, is a promising material for the removal of HEAVY METALS especially copper from aqueous solutions. The aim of this study was to quantitative MODELING of the effects of pH, copper concentration, sawdust dosage, and contact time on the copper removal from aqueous solutions.Materials and methods: In this study, the sawdust of Populus nigra with grain size of 250-600 mm, was used as a bio adsorbent for the removal of copper from synthetic aqueous solution. Sawdust sample was washed with distilled water and dried in the laboratory conditions. The sorption of copper on sawdust has been studied by using the batch technique. The central composite design was carried out with aqueous solution of copper containing various concentrations ranging from 1-25 mgl-1 The ranges of variation for the other variables including pH, sawdust dosage and contact time are 2-10, 5-25 gl-1, and 5-185 minutes, respectively. At the end of the each experiment, the equilibrium concentration of the copper was determined by atomic adsorption spectrometer and the removal percentage of the copper was calculated from the difference between the initial and equilibrium concentrations.Results: The results of the central composite design model demonstrated the high efficiency (R2=0.907 and RMSE=3.34%) of the predictive model for copper removal by sawdust. Pareto analysis of the central composite design model indicated that, among four variables, contact time, sawdust dosage, pH and initial copper concentration shave the highest effects on the copper removal respectively. Increasing of the pH at the range of 2 to 7, leads to the increase of the copper removal. The copper removal was also increased at high contact times and sawdust dosages. There was a negative relationship between the initial copper concentration and the removal percentage of the copper.Conclusion: It has been demonstrated that the Populus nigra sawdust can be considered as a suitable bio adsorbent of HEAVY METALS. The efficiency of the copper removal by sawdust may be reach up to the 94 percent especially at low initial concentrations of the copper. Adjusting pH of the solution at the range of 6 to 7 leads to the high efficiency of copper removal by sawdust. Considering the low cost and availability of sawdust, it can be recommended as a bio adsorbent for purification of water resources from copper pollution.

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APA: Copy

ASADZADEH, F., & BARIN, M.. (2016). MODELING OF COPPER REMOVAL FROM AQUEOUS SOLUTION BY POPULUS NIGRA SAWDUST USING CENTRAL COMPOSITE DESIGN. JOURNAL OF WOOD AND FOREST SCIENCE AND TECHNOLOGY, 23(3), 163-145. SID. https://sid.ir/paper/355935/en

Vancouver: Copy

ASADZADEH F., BARIN M.. MODELING OF COPPER REMOVAL FROM AQUEOUS SOLUTION BY POPULUS NIGRA SAWDUST USING CENTRAL COMPOSITE DESIGN. JOURNAL OF WOOD AND FOREST SCIENCE AND TECHNOLOGY[Internet]. 2016;23(3):163-145. Available from: https://sid.ir/paper/355935/en

IEEE: Copy

F. ASADZADEH, and M. BARIN, “MODELING OF COPPER REMOVAL FROM AQUEOUS SOLUTION BY POPULUS NIGRA SAWDUST USING CENTRAL COMPOSITE DESIGN,” JOURNAL OF WOOD AND FOREST SCIENCE AND TECHNOLOGY, vol. 23, no. 3, pp. 163–145, 2016, [Online]. Available: https://sid.ir/paper/355935/en

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