scholarly journals Kinetics of Cu 2+ Copper Sorption from Water Systems by Modified Aluminum Silicates

2012 ◽  
pp. 99-110
Author(s):  
Keyword(s):  
Heavy Metals ◽  
Particle Size ◽  
Sodium Chloride ◽  
Sodium Hydroxide ◽  
Water Systems ◽  
Copper Extraction ◽  
Natural Sorbents ◽  
Kinetics Of ◽  
Modified Sorbents ◽  
Copper Sorption

Regent methods of natural sorbents modification on the basis of opal/ cristobalite rocks have been developed. Optimal reagents for the natural sorbents modification are solutions of sodium hydroxide and sodium chloride. Kinetics of Cu2+ copper extraction from water systems with the modified sorbents has been studied in different conditions: depending on the velocity of stirring, sorbent particle size, and the extracted metal concentration. The conducted research enables to recommend the modified sorbents on the basis of opal/cristobalite rocks for extraction of heavy metals from water systems.

scholarly journals The Effects of Sulphuric Acid and Sodium Chloride Agglomeration and Curing on Chalcopyrite Leaching

Metals ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 873
Author(s):  
Víctor Quezada ◽  
Antoni Roca ◽  
Oscar Benavente ◽  
Montserrat Cruells ◽  
Evelyn Melo
Keyword(s):  
Sodium Chloride ◽  
Sulphuric Acid ◽  
Copper Extraction ◽  
Curing Time ◽  
X Ray Diffraction ◽  
Sulphide Ores ◽  
Reflected Light ◽  
Copper Leaching ◽  
Kinetics Of ◽  
Leaching Efficiency

An option to improve the leaching efficiency of chalcopyrite is pretreatment prior to leaching. Pretreatment variables, such as the curing time and the addition of chloride, can increase the kinetics of copper extraction, particularly for sulphide ores. However, there has been little research on the topic. The reactions that govern this phenomenon have not been clearly identified. In this study, the effects of sulphuric acid and sodium chloride agglomeration and curing on chalcopyrite leaching were evaluated at various temperatures: 25, 50, 70, and 90 °C. The pretreated ore and leach residues were characterised by X-ray diffraction, scanning electron microscopy, and reflected light microscopy. Under the conditions of 15 kg/t of H2SO4, 25 kg/t of NaCl, and 15 days of curing time (as pretreatment), the following products were identified: CuSO4, NaFe3(SO4)2(OH)6, Cu2Cl(OH), and S0. Increasing the curing time and leaching temperature increased copper leaching. The copper extraction was 94% when leaching at 90 °C after pretreatment with 50 g/L of Cl- and 0.2 M of H2SO4. Elemental sulphur, jarosite, and copper polysulphide (CuS2) were detected in the leaching residues.

scholarly journals Adsorption of Lead(II), Manganese(II), and Copper(II) onto biochar in landfill leachate: implication of non-linear regression analysis

2020 ◽  
Author(s):  
Ali Daryabeigi Zand ◽  
Maryam Rabiee Abyaneh
Keyword(s):  
Heavy Metals ◽  
Particle Size ◽  
Landfill Leachate ◽  
Linear Regression Analysis ◽  
Freundlich Isotherm ◽  
Adsorption Affinity ◽  
Removal Of Heavy Metals ◽  
Pseudo Second Order ◽  
Pyrolytic Temperature ◽  
Kinetics Of

Abstract The feasibility of using wood-derived biochar (BC) to remove Pb, Mn, and Cu from landfill leachate was investigated and modeled in this study. The effect of contact time, biochar dosage and particle size on adsorption of the heavy metals onto BC was examined. BC was used in two form i.e. pulverized (PWB) and crushed (CWB) to evaluate the effect of BC particle size on adsorption characteristics. Biochar was produced under the pyrolytic temperature of 740 °C. The kinetics of Pb, Mn, and Cu adsorption onto PWB and CWB were assessed using the pseudo second-order and Elovich models, where both applied models could well describe the adsorption kinetics. Equilibrium adsorption capacity of the heavy metals onto BC in leachate system was evaluated using the Langmuir, non-linearized Freundlich, linearized Freundlich, and Temkin isotherms and found to have the following order for PWB: Non-linearized Freundlich>Temkin>Langmuir>Linearized Freundlich. The Langmuir and linearized Freundlich models could not adequately represent adsorption of the heavy metals onto biochar, especially for CWB. Using the non-linearized Freundlich isotherm significantly reduced adsorption prediction error. The adsorption affinity of PWB for Pb, Mn, and Cu was greater than CWB in all treatments. Wood-derived biochar is suggested to be used for the removal of heavy metals from landfill leachate as an economical adsorbent.

scholarly journals Adsorption of Lead, Manganese, and Copper onto biochar in landfill leachate: implication of non-linear regression analysis

2020 ◽  
Author(s):  
Ali Daryabeigi Zand ◽  
Maryam Rabiee Abyaneh
Keyword(s):  
Heavy Metals ◽  
Particle Size ◽  
Landfill Leachate ◽  
Linear Regression Analysis ◽  
Freundlich Isotherm ◽  
Adsorption Affinity ◽  
Removal Of Heavy Metals ◽  
Pseudo Second Order ◽  
Kinetics Of ◽  
Adsorption Intensity

Abstract The feasibility of using wood-derived biochar (BC) to remove Pb, Mn, and Cu from landfill leachate was investigated and modeled in this study. BC was produced under the pyrolytic temperature of 740 °C. The effect of contact time, BC dosage and particle size on adsorption of the heavy metals onto BC was examined. BC was used in two forms i.e., pulverized (PWB) and crushed (CWB) to evaluate the effect of BC particle size on adsorption characteristics. The kinetics of Pb, Mn, and Cu adsorption onto PWB and CWB were assessed using the pseudo second-order and Elovich models, where both applied models could well describe the adsorption kinetics. Removal efficiencies of the heavy metals were increases by 1.2, 1.4, and 1.6 times, respectively, for Pb, Mn, and Cu, when PWB content of the leachate increased from 0.5 to 5 g L-1. Equilibrium adsorption capacity of the heavy metals onto BC in leachate system was evaluated using the Langmuir, non-linearized Freundlich, linearized Freundlich, and Temkin isotherms and found to have the following order for PWB: Non-linearized Freundlich > Temkin > Langmuir > Linearized Freundlich. The Langmuir and linearized Freundlich models could not adequately represent adsorption of the heavy metals onto BC, especially for CWB. The highest removal of 88% was obtained for Pb, while the greatest adsorption intensity was found to be 1.58 mg g-1 for Mn. Using the non-linearized Freundlich isotherm significantly reduced adsorption prediction error. The adsorption affinity of PWB for Pb, Mn, and Cu was greater than that of CWB in all treatments. Wood-derived BC is suggested to be used for the removal of heavy metals from landfill leachate as an economical adsorbent.

Recovery of heavy metals from industrial sludge using various acid extraction approaches

2009 ◽  
Vol 59 (2) ◽  
pp. 289-293 ◽  
Author(s):  
C. H. Wu ◽  
C. Y. Kuo ◽  
S. L. Lo
Keyword(s):  
Heavy Metals ◽  
Particle Size ◽  
Organic Matter ◽  
Extraction Efficiency ◽  
Copper Extraction ◽  
Acid Extraction ◽  
Industrial Sludge ◽  
Microwave Assisted ◽  
Sludge Particle ◽  
Experimental Findings

Heavy metals were removed from industrial sludge by traditional and microwave-assisted acid extraction approaches. The effects of acid concentration, extraction time, sludge particle size and solid/liquid (S/L) ratio on copper-extraction efficiency were assessed. Leaching with increased acid concentrations increased the yield of heavy metals from the industrial sludge. In microwave-assisted acid extraction, reducing the S/L ratio and sludge particle size increased copper-extraction efficiency. These experimental findings indicate that S/L ratio most strongly influenced microwave-assisted acid extraction. Both traditional and microwave-assisted acid extraction demonstrate that sulfuric acid was an effective extractant, and the copper fraction in extracted sludge shifted from being primarily bound to Fe–Mn oxides and organic-matter partition, to being mostly bound to organic matter, remaining as a residue during acid extraction.

scholarly journals Adsorption of Lead, manganese, and copper onto biochar in landfill leachate: implication of non-linear regression analysis

2020 ◽  
Vol 30 (1) ◽  
Author(s):  
Ali Daryabeigi Zand ◽  
Maryam Rabiee Abyaneh
Keyword(s):  
Heavy Metals ◽  
Particle Size ◽  
Landfill Leachate ◽  
Linear Regression Analysis ◽  
Freundlich Isotherm ◽  
Adsorption Affinity ◽  
Removal Of Heavy Metals ◽  
Pseudo Second Order ◽  
Kinetics Of ◽  
Adsorption Intensity

Abstract The feasibility of using wood-derived biochar (BC) to remove Pb, Mn, and Cu from landfill leachate was investigated and modeled in this study. BC was produced under the pyrolytic temperature of 740 °C. The effect of contact time, BC dosage and particle size on adsorption of the heavy metals onto BC was examined. BC was used in two forms i.e., pulverized (PWB) and crushed (CWB) to evaluate the effect of BC particle size on adsorption characteristics. The kinetics of Pb, Mn, and Cu adsorption onto PWB and CWB were assessed using the pseudo second-order and Elovich models, where both applied models could well describe the adsorption kinetics. Removal efficiencies of the heavy metals were increases by 1.2, 1.4, and 1.6 times, respectively, for Pb, Mn, and Cu, when PWB content of the leachate increased from 0.5 to 5 g L− 1. Equilibrium adsorption capacity of the heavy metals onto BC in leachate system was evaluated using the Langmuir, non-linearized Freundlich, linearized Freundlich, and Temkin isotherms and found to have the following order for PWB: Non-linearized Freundlich > Temkin > Langmuir > Linearized Freundlich. The Langmuir and linearized Freundlich models could not adequately represent adsorption of the heavy metals onto BC, especially for CWB. The highest removal of 88% was obtained for Pb, while the greatest adsorption intensity was found to be 1.58 mg g− 1 for Mn. Using the non-linearized Freundlich isotherm significantly reduced adsorption prediction error. The adsorption affinity of PWB for Pb, Mn, and Cu was greater than that of CWB in all treatments. Wood-derived BC is suggested to be used for the removal of heavy metals from landfill leachate as an economical adsorbent.

scholarly journals Adsorption of Lead(II), Manganese(II), and Copper(II) onto biochar in landfill leachate: implication of non-linear regression analysis

2020 ◽  
Author(s):  
Ali Daryabeigi Zand ◽  
Maryam Rabiee Abyaneh
Keyword(s):  
Heavy Metals ◽  
Particle Size ◽  
Landfill Leachate ◽  
Linear Regression Analysis ◽  
Freundlich Isotherm ◽  
Adsorption Affinity ◽  
Removal Of Heavy Metals ◽  
Pseudo Second Order ◽  
Kinetics Of ◽  
Adsorption Intensity

Abstract The feasibility of using wood-derived biochar (BC) to remove Pb, Mn, and Cu from landfill leachate was investigated and modeled in this study. The effect of contact time, biochar dosage and particle size on adsorption of the heavy metals onto BC was examined. BC was used in two form i.e. pulverized (PWB) and crushed (CWB) to evaluate the effect of BC particle size on adsorption characteristics. Biochar was produced under the pyrolytic temperature of 740 °C. The kinetics of Pb, Mn, and Cu adsorption onto PWB and CWB were assessed using the pseudo second-order and Elovich models, where both applied models could well describe the adsorption kinetics. Removal rates of the heavy metals were raised by 1.2, 1.4, and 1.6 times, respectively, for Pb, Mn, and Cu, when PWB content of the leachate increased from 0.5 to 5 g L -1 . Equilibrium adsorption capacity of the heavy metals onto BC in leachate system was evaluated using the Langmuir, non-linearized Freundlich, linearized Freundlich, and Temkin isotherms and found to have the following order for PWB: Non-linearized Freundlich>Temkin>Langmuir>Linearized Freundlich. The Langmuir and linearized Freundlich models could not adequately represent adsorption of the heavy metals onto biochar, especially for CWB. The highest removal of 87.96% was obtained for Pb, while the greatest adsorption intensity was found to be 1.58 mg g -1 for Mn. Using the non-linearized Freundlich isotherm significantly reduced adsorption prediction error. The adsorption affinity of PWB for Pb, Mn, and Cu was greater than CWB in all treatments. Wood-derived biochar is suggested to be used for the removal of heavy metals from landfill leachate as an economical adsorbent.

Study of the Cu(II) removal from aqueous solutions by adsorption on titania

2013 ◽  
Vol 12 (3) ◽  
pp. 239-247
Keyword(s):  
Heavy Metals ◽  
Ionic Strength ◽  
Toxic Metals ◽  
Low Cost ◽  
Lateral Interaction ◽  
Tio2 Surface ◽  
High Toxicity ◽  
Removal Of Heavy Metals ◽  
Solution Parameters ◽  
Kinetics Of

The removal of heavy metals from wastewaters is a matter of paramount importance due to the fact that their high toxicity causes major environmental pollution problems. One of the most efficient, applicable and low cost methods for the removal of toxic metals from aqueous solutions is that of their adsorption on an inorganic adsorbent. In order to achieve high efficiency, it is important to understand the influence of the solution parameters on the extent of the adsorption, as well as the kinetics of the adsorption. In the present work, the adsorption of Cu(II) species onto TiO2 surface was studied. It was found that the adsorption is a rapid process and it is not affected by the value of ionic strength. In addition, it was found that by increasing the pH, the adsorbed amount of Cu2+ ions and the value of the adsorption constant increase, whereas the value of the lateral interaction energy decreases.

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