Removal of copper and lead from aqueous solution by carboxylic acid functionalized deacetylated konjac glucomannan

Liu, Feng; Luo, Xin; Lin, Xiaoyan; Liang, Lili; Chen, Yan

doi:10.1016/j.jhazmat.2009.06.075

Cited by 46 publications

(21 citation statements)

References 29 publications

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“…This has been confirmed by other researchers that cellulose containing carboxyl will enhance the adsorption process in removing the heavy metals from the water matrix (Liu et al, 2009). …”

Section: Determination Of Carboxylate Contentssupporting

confidence: 77%

Predicting the capability of carboxylated cellulose nanowhiskers for the remediation of copper from water using response surface methodology (RSM) and artificial neural network (ANN) models

Hamid

Jenidi

Thielemans

et al. 2016

Industrial Crops and Products

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This study observed the influence of temperature, initial Cu(II) ion concentration, and sorbent dosage on the Cu(II) removal from the water matrix using surface-oxidized cellulose nanowhiskers (CNWs) bearing carboxylate functionalities. In addition, this study focused on the actual conditions in a wastewater treatment plant. Conductometric titration of CNWs suspensions showed a surface charge of 54 and 410 mmol/kg for the unmodified and modified CNWs, respectively, which indicated that the modified CNWs provide a relatively high surface area per unit mass than the unmodified CNWs. In addition, the stability of the modified CNWs was tested under different conditions and proved that the functional groups were permanent and not degraded. Response surface methodology (RSM) and artificial neural network (ANN) models were employed in order to optimize the system and to create a predictive model to evaluate the Cu(II) removal performance of the modified CNWs. The performance of the ANN and RSM models were statistically evaluated in terms of the coefficient of determination (R 2 ), 2 absolute average deviation (AAD), and the root mean squared error (RMSE) on predicted experiment outcomes. Moreover, to confirm the model suitability, unseen experiments were conducted for 14 new trials not belonging to the training data set and located both inside and outside of the training set boundaries. Result showed that the ANN model (R 2 =0.9925, AAD = 1.15%, RMSE = 1.66) outperformed the RSM model (R 2 =0.9541, AAD = 7.07%, RMSE = 3.99) in terms of the R 2 , AAD, and RMSE when predicting the Cu (II) removal and is thus more reliable. The Langmuir and Freundlich isotherm models were applied to the equilibrium data and the results revealed that Langmuir isotherm (R 2 = 0.9998) had better correlation than the Freundlich isotherm (R 2 = 0.9461). Experimental data were also tested in terms of kinetics studies using pseudo-first order and pseudo-second order kinetic models. The results showed that the pseudo-second-order model accurately described the kinetics of adsorption.

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“…This has been confirmed by other researchers that cellulose containing carboxyl will enhance the adsorption process in removing the heavy metals from the water matrix (Liu et al, 2009). …”

Section: Determination Of Carboxylate Contentssupporting

confidence: 77%

Predicting the capability of carboxylated cellulose nanowhiskers for the remediation of copper from water using response surface methodology (RSM) and artificial neural network (ANN) models

Hamid

Jenidi

Thielemans

et al. 2016

Industrial Crops and Products

View full text Add to dashboard Cite

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“…Despite the fact that numerous polymers have been used for heavy metal ion removal, there is an ever increasing demand for new adsorbents with biodegradability, high capacity, fast kinetics, and excellent regeneration or reusability. Recently, renewable resources-based bioadsorbents have spurred great interest in the removal and recovery of heavy metal ions from aqueous solutions due to many advantages such as abundance, low cost, biodegradability, innocuity, and high adsorption capacity, and are considered as alternatives to conventional adsorbents (4)(5)(6)(7)(8).…”

Section: Introductionmentioning

confidence: 99%

Adsorption of Cu²⁺ and Ni²⁺ from Aqueous Solution by Arabinoxylan Hydrogel: Equilibrium, Kinetic, Competitive Adsorption

Zhong

Peng

Song

et al. 2013

Separation Science and Technology

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In this work, arabinoxylan-graft-acrylic acid (AX-g-AA) hydrogel was prepared and used as an adsorbent to remove and recover Cu 2þ and Ni 2þ from aqueous solutions. The influences of pH, ligand content on the adsorption capacity of the hydrogel, adsorption equilibrium, and kinetic were studied in detail. The competitive adsorption and recovery of heavy metal ions, regeneration and reusability of the hydrogel were present. Furthermore, the relationship between the physiochemical properties of the adsorbent and its adsorption performance was also studied. The results showed that a more expanded network favored the diffusion and adsorption of metal ions. Cu 2þ and Ni 2þ uptake by this hydrogel was pH and concentration dependent with the maximum loading of 330.1 mg/g for Cu 2þ and 248.7 mg/g for Ni 2þ . The pseudo-second-order kinetics suggested that the ion exchange process was chemisorptioncontrolled. The Langmuir equation could well describe the isotherm data. Cu 2þ and Ni 2þ adsorbed on the hydrogel could be effectively recovered in a diluted HNO 3 solution (0.01 M) in 30 min. AX-g-AA hydrogel also exhibited highly efficient reusability, and thus could be used repeatedly.

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“…Amino groups are highly active in the formation of strong complexes with metal ions because they contain nitrogen atoms. Meanwhile, adsorbents modified by carboxylic groups (which contain oxygen atoms) such as chitosang-poly (acrylic acid) attapulgite composites, carboxylic acid-functionalized konjac glucomannan, and chitosan/poly (acrylic acid) (PAAc) magnetic composite microspheres exhibit high adsorption capacity for Cu 2+ ions [24][25][26][27].…”

Section: Introductionmentioning

confidence: 99%

Functionalization of polyacrylonitrile nanofiber mat via surface-initiated atom transfer radical polymerization for copper ions removal from aqueous solution

Wang

Jia

Pan

et al. 2015

Desalination and Water Treatment

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A B S T R A C TPoly (acrylic acid) (PAAc)-functionalized PAN nanofiber (PAN-COOH) mats were prepared via electrospinning followed by atom transfer radical polymerization for the removal of copper ions from aqueous solution. Attenuated total reflections Fourier transform infrared and X-ray photoelectron spectroscopy results confirmed the presence of PAAc layer on the surface of PAN nanofibers. The morphology of PAN-COOH nanofibers was studied by scanning electron microscopy. Adsorption results indicated that the adsorption capacity was pH dependent. Adsorption equilibrium reached within 30 min as the initial solution concentration increased from 108 to 268 mg/L, and the process can be described using the pseudosecond-order model. Isotherm data fitted well to the Langmuir isotherm model. Desorption results showed that adsorption capacity can remain up to 90% after five times usage.

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Removal of copper and lead from aqueous solution by carboxylic acid functionalized deacetylated konjac glucomannan

Cited by 46 publications

References 29 publications

Predicting the capability of carboxylated cellulose nanowhiskers for the remediation of copper from water using response surface methodology (RSM) and artificial neural network (ANN) models

Predicting the capability of carboxylated cellulose nanowhiskers for the remediation of copper from water using response surface methodology (RSM) and artificial neural network (ANN) models

Adsorption of Cu²⁺ and Ni²⁺ from Aqueous Solution by Arabinoxylan Hydrogel: Equilibrium, Kinetic, Competitive Adsorption

Functionalization of polyacrylonitrile nanofiber mat via surface-initiated atom transfer radical polymerization for copper ions removal from aqueous solution

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Removal of copper and lead from aqueous solution by carboxylic acid functionalized deacetylated konjac glucomannan

Cited by 46 publications

References 29 publications

Predicting the capability of carboxylated cellulose nanowhiskers for the remediation of copper from water using response surface methodology (RSM) and artificial neural network (ANN) models

Predicting the capability of carboxylated cellulose nanowhiskers for the remediation of copper from water using response surface methodology (RSM) and artificial neural network (ANN) models

Adsorption of Cu2+ and Ni2+ from Aqueous Solution by Arabinoxylan Hydrogel: Equilibrium, Kinetic, Competitive Adsorption

Functionalization of polyacrylonitrile nanofiber mat via surface-initiated atom transfer radical polymerization for copper ions removal from aqueous solution

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Product

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Adsorption of Cu²⁺ and Ni²⁺ from Aqueous Solution by Arabinoxylan Hydrogel: Equilibrium, Kinetic, Competitive Adsorption