Cu(II) and Ni(II) removal from aqueous solutions by adsorption on Henna and optimization of effective parameters by using the response surface methodology

Davarnejad, Reza; Panahi, Parisa

doi:10.1016/j.jiec.2015.10.013

Cited by 25 publications

(11 citation statements)

References 39 publications

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“…where C e (mg L 1 ) is the equilibrium concentration of metal ion solution, q e (mg g -1 ) is a metal ion adsorption capacity at equilibrium, q m is the monolayer adsorption capacity of adsorbent, and K L is the adsorption energy constants.…”

Section: Resultsmentioning

confidence: 99%

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Modification of Chaetoceros sp. Biomass with Silica-Magnetite Coating and Adsorption Studies towards Cu(II) Ions in Single and Binary System

Buhani¹,

Musrifatun²,

Pratama³

et al. 2017

Asian J. Chem.

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Adsorbent synthesis from Chaetoceros sp. biomass with silica-magnetite coating technique (ASMC) and without magnetite (ASC) has been performed through the sol-gel process. Both adsorbents were characterized by infrared spectrophotometer, X-Ray diffraction and scanning electron microscopy. The adsorption process of Cu(II) ions was performed in a single and binary systems using batch method. The adsorption data of Cu(II) ions on ASC and ASMC within a single system follows the pseudo kinetic model of order 2 with the adsorption rate of Cu(II) ions on ASMC faster than ASC. The adsorption isotherm model of Cu(II) ions on ASC and ASMC tend to follow Langmuir adsorption isotherm model with adsorption capacity of 57.77 and 105.91 mg g -1 , respectively. The ASMC material is not selective for Cu(II) ions with the ion pairs such as Ni(II), Zn(II), Cd(II) and Pb(II) ions.

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Section: Resultsmentioning

confidence: 99%

“…One of these efforts is with utilizing of natural materials such as biomass derived from algae, fungi and agricultural waste as heavy metal adsorbent [1,2].…”

Section: Introductionmentioning

confidence: 99%

Modification of Chaetoceros sp. Biomass with Silica-Magnetite Coating and Adsorption Studies towards Cu(II) Ions in Single and Binary System

Buhani¹,

Musrifatun²,

Pratama³

et al. 2017

Asian J. Chem.

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“…For the contact time studies, the procedure was carried out at pH 6.5 using 0.05 g TiO2/GC/CH in 25 mL metanil yellow (100 mg/L). The adsorption parameters followed the suggestion of previous reports [33,34]. All the following studies employed the optimum adsorption parameters obtained earlier (100 minutes contact time; pH 3).…”

Section: Batch Adsorption/photodegradationmentioning

confidence: 92%

Synergetic photocatalytic and adsorptive removals of metanil yellow using TiO2/grass-derived cellulose/chitosan (TiO2/GC/CH) film composite

Rahmi

Lubis

Azzahra

et al. 2021

IJE

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Chitosan (CH) and cellulose are the most abundant biopolymers which could be utilized for hazardous dye removal. By incorporating TiO2 onto cellulose/CH matrix, our research aimed to achieve high metanil yellow removal by means of synergetic adsorption/photodegradation mechanism. The cellulose particles were extracted from wild grass (Imperata cylindrica L.) to obtain grass-derived cellulose (GC). Simple blending method was used to prepare TiO2/GC/CH, in which the composition was determined by simple additive weighting method (SAW). TiO2/GC/CH was characterized by means of tensile strength test (also used for SAW), Fourier Transform-Infrared (FT-IR), X-ray diffraction (XRD), differential scanning calorimetry (DSC), and scanning electron microscopy (SEM). Metanil yellow removal using TiO2/GC/CH works very well at acidic pH range. The removal follows the pseudo-second-order kinetic (R 2 = 0.997) and Langmuir isotherm (R 2 = 0.998) modellings. High qm obtained from the metanil yellow removal under UV irradiation (qm = 171.527) proves the synergism between adsorption and photodegradation. The developed TiO2/GC/CH could be potentially used in the wastewater treatment for azo dye removal.

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“…Among these methods, adsorption is distinguished as one of the most efficient, cost-effective and adaptable methods for removal of heavy metals from aqueous solutions [14,15]. Due to its ease of operation, lower costs [16] and lower amounts of resultant sludge [17], adsorption method is widely used as a traditional method for removal of heavy metals.…”

Section: Introductionmentioning

confidence: 99%

“…Removal of various heavy metals using different adsorbents have been extensively studied in recent years [19][20][21]. For removal of nickel from wastewater, several researches have been carried out on the potential of different adsorbents such as zeolit, bentonit [22], kaolinite clay [23], coal dust and magnetized sawdust [24], teak leaves powder [25], cashew nut shell [26], Lagenaria vulgaris shell [27], calcareous soils [28], plantain peels [29], chitosan [30], cherry kernels [7], clay [31] and henna [16].…”

Section: Introductionmentioning

confidence: 99%

Artificial Neural Network Approach for Modeling of Ni(Ii) Adsorption from Aqueous Solution by Peanut Shell

Yıldız

2018

Ecological Chemistry and Engineering S

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In this study, ANN (artificial neural network) model was applied to estimate the Ni(II) removal efficiency of peanut shell based on batch adsorption tests. The effects of initial pH, metal concentrations, temperature, contact time and sorbent dosage were determined. Also, COD (chemical oxygen demand) was measured to evaluate the possible adverse effects of the sorbent during the tests performed with varying temperature, pH and sorbent dosage. COD was found as 96.21 mg/dm3 at pH 2 and 54.72 mg/dm3 at pH 7. Also, a significant increase in COD value was observed with increasing dosage of the used sorbent. COD was found as 12.48 mg/dm3 after use of 0.05 g sorbent and as 282.78 mg/dm3 after use of 1 g sorbent. During isotherm studies, the highest regression coefficient (R2) value was obtained with Freundlich isotherm (R2 = 0.97) for initial concentration and with Temkin isotherm for sorbent dosage. High pseudo-second order kinetic model regression constants were observed (R2 = 0.95-0.99) during kinetic studies with varying pH values. In addition, Ni(II) ion adsorption on peanut shell was further defined with pseudo-second order kinetic model, since qe values in the second order kinetic equation were very close to the experimental values. The relation between the estimated results of the built ANN model and the experimental results were used to evaluate the success of ANN modeling. Consequently, experimental results of the study were found to be in good agreement with the estimated results of the model.

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Cu(II) and Ni(II) removal from aqueous solutions by adsorption on Henna and optimization of effective parameters by using the response surface methodology

Cited by 25 publications

References 39 publications

Modification of Chaetoceros sp. Biomass with Silica-Magnetite Coating and Adsorption Studies towards Cu(II) Ions in Single and Binary System

Modification of Chaetoceros sp. Biomass with Silica-Magnetite Coating and Adsorption Studies towards Cu(II) Ions in Single and Binary System

Synergetic photocatalytic and adsorptive removals of metanil yellow using TiO2/grass-derived cellulose/chitosan (TiO2/GC/CH) film composite

Artificial Neural Network Approach for Modeling of Ni(Ii) Adsorption from Aqueous Solution by Peanut Shell

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