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Assessment of the Feasibility of Modified Chitosan Beads for the Adsorption of Nitrate from an Aqueous Solution

Jamka Zainab N., Mohammed Wadood T.

Journal of Ecological Engineering

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2023

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Vol. 24, nr 2

265--278

EN

The objective of the current work was to investigate the effectiveness and mechanism of nitrate removal from an aqueous solution by adsorption using metal (Zr4+)loaded chitosan and Bentonite beads (Cs-Bn-Zr). The study was carried out in a batch system, and the effect of the critical factors on the adsorption performance, such as contact time, initial nitrate anion concentration, and adsorbent dosage, were investigated. In addition, the adsorption equilibrium models of the Langmuir, Freundlich, and Temkin isotherms were evaluated. The modified adsorbent was characterized by Fourier transform infrared spectroscopy (FTIR), Field Emission Scanning Electron Microscopy (FESEM), and analysis with an energy-dispersive X-ray analyzer (EDX). The results demonstrated that at 0.2 g of CS-Bn-Zr adsorbent with an initial concentration of 50 mg/l and a contact time of 120 minutes, the maximum removal of nitrate ions was found to be 97.28%. The result demonstrated that the maximum adsorption capacity of nitrite ions on the manufactured bead was 110.46 mg/g. The Freundlich model was shown to be the most effective for the adsorbate of nitrate. The pseudo–first-order model fits the adsorption kinetic data well.

2

Heavy metal adsorption by dewatered iron-containing waste sludge

Yildiz S., Sevinç S.

Ecological Chemistry and Engineering. S

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2018

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Vol. 25, nr 3

431--456

EN

Drinking water treatment plants produce significant amounts of waste sludge. In this study, removal of Nickel ion by use of wastewater sludge was aimed. The adsorption capability of waste sludge was optimized with varying physical parameters such as pH, adsorbent dosage, adsorbate concentration, contact time, shaking speed and temperature. Initial concentration was set as 25 mg/dm3, absorbent dose was set as 0.3 g/cm3, and temperature was set as 25 °C. Compliance of balance data with Langmuir, Freundlich, Temkin and D-R isotherm models was investigated. The highest R 2 values were obtained with Freundlich isotherm (R 2 = 0.92-0.95). Adsorption kinetics was analysed using pseudo-first order, pseudo-second order, Weber and Morris intraparticle diffusion and Elovich kinetic models, and the system was found to be in a better compliance with pseudo-second order kinetic model. Iron sludge was used as sorbent, and accordingly total iron ion measurements were carried out to determine its possible effects on water. Additionally, SEM, EDX, FTIR spectroscopy, XRD spectrum and atomic force microscope (AFM) measurements were conducted to determine the interaction between the sorbent and metal ions, in addition to characterization of the sorbent. As indicated by research results, drinking water treatment sludge proved to be a potential adsorbent for removal of nickel(II) ions from the solution.

3

Artificial neural network approach for modeling of Ni(II) adsorption from aqueous solution by peanut shell

Yildiz S.

Ecological Chemistry and Engineering. S

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2018

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Vol. 25, nr 4

581--604

EN

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 (R 2) value was obtained with Freundlich isotherm (R 2 = 0.97) for initial concentration and with Temkin isotherm for sorbent dosage. High pseudo-second order kinetic model regression constants were observed (R 2 = 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.

4

Kinetic and isotherm analysis of Cu(II) adsorption onto almond shell (Prunus Dulcis)

Yildiz S.

Ecological Chemistry and Engineering. S

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2017

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Vol. 24, nr 1

87--106

EN

In the work, adsorption of Cu2+ ions onto almond shell were investigated under different operational conditions. Almond shell was used without any pretreatment prior to the tests. The optimum conditions for adsorption of Cu2+ ions through almond shell were determined to be; pH 5.0, temperature 20°C, shaking rate 125 rpm, sorbent dose 0.3 g and initial Cu2+ ion concentration 50 mg/dm3. The equilibrium duration of the system was 60 minutes. The sorption capacities of the sorbents were predicted with the aid of equilibrium and kinetic models. The interactions of peanut shell with metal ions were constituted by SEM, EDX, FT-IR, XRD and AFM. The pseudo-first-order, pseudo-second-order, Weber-Morris, Elovich model and Bangham kinetic models were applied to test the experimental data. The Cu+2 ions adsorption onto almond shell was better defined by the pseudo-second-order kinetic model, for initial pH. The equilibrium data were evaluated using Langmuir, Freundlich, Temkin, D-R and Harkins Jura isotherms. The highest R2 value in isotherm studies was obtained from Langmiur isotherm (R2 = 0.98) for the inlet concentration.