Insight into adsorption equilibrium, kinetics and thermodynamics of lead onto alluvial soil

Das, Biswajit; Mondal, Naba Kumar; Bhaumik, Ria; Roy, Palas

doi:10.1007/s13762-013-0279-z

Cited by 96 publications

(71 citation statements)

References 43 publications

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“…The values of Δ H 0 provide information about the type of sorption; if the magnitude of the enthalpy change is between 2.1 and 20.9 kJ/mol, then the adsorption is physical, and if it is between 80 and 420 kJ/mol, then the adsorption is chemical . The negative Δ S 0 suggests a decrease in the randomness at the solid or solution interface during the adsorption process …”

Section: Resultsmentioning

confidence: 99%

Metal ion sorption by chitosan–tripolyphosphate beads

Giraldo

Rivas

Elgueta³

et al. 2017

J of Applied Polymer Sci

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Heavy metal removal from wastewater is crucial for the proper management of discharged water from mining operations. This residual water is typically unusable for other purposes such as for human/animal, crop, or industrial consumption. Eco‐friendly adsorption materials are necessary to ensure the sustainable treatment of this wastewater. Therefore, the sorption of Cu(II), Cd(II), Pb(II), and Zn(II) ions onto chitosan–tripolyphosphate (CTPP) beads was investigated using real mining wastewater and prepared ion metal solutions. The effects of pH, contact time, temperature, selectivity, and maximum sorption capacity in successive batches at different concentrations were studied. The optimum sorption of cations, except for copper (pH 3) was found at pH 5. Equilibrium in the adsorption of all metals was reached at 24 h of contact. Studies of the maximum sorption capacity at different concentrations showed that the CTPP beads could adsorb 158, 55, 47, and 47 mg/g of Pb(II), Cu(II), Cd(II), and Zn(II), respectively. Experimental data for the sorption of Pb(II) were optimally correlated with the Langmuir model. The thermodynamic parameters such as the changes in enthalpy (ΔH0), entropy (ΔS0), and free energy (ΔG0) were determined. © 2017 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2017, 134, 45511.

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Section: Resultsmentioning

confidence: 99%

Metal ion sorption by chitosan–tripolyphosphate beads

Giraldo

Rivas

Elgueta³

et al. 2017

J of Applied Polymer Sci

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“…Based on the obtained results presented in Figure , the adsorption capacity is decreased but the total of mercury ions removal is increased. The diminution in the adsorption density maybe attributed to the fact that some adsorbent site remains unsaturated during the adsorption progression . It is obtained from the experimental work that the adsorption capacity for 5 mg dosage was 12.79 mg/g and then, as the Tk‐CNTs adsorbent was increased to 20 and 30 mg the adsorption capacity was decreased to 7.85 and 6.70 mg/g, respectively.…”

Section: Resultsmentioning

confidence: 99%

“…The diminution in the adsorption density maybe attributed to the fact that some adsorbent site remains unsaturated during the adsorption progression. 37,38 It is obtained from the experimental work that the adsorption capacity for 5 mg dosage was 12.79 mg/g and then, as the Tk-CNTs adsorbent was increased to 20 and 30 mg the adsorption capacity was decreased to 7.85 and 6.70 mg/g, respectively. The obtained experimental data are used for the training and predicting using the NARX neural network modeling techniques.…”

Section: Effect Of Adsorbent Dosagementioning

confidence: 99%

Mercury removal from water using deep eutectic solvents‐functionalized multi walled carbon nanotubes: Nonlinear autoregressive network with an exogenous input neural network approach

Fiyadh

AlSaadi

Jaafar

et al. 2019

Env Prog and Sustain Energy

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This work presents the experimental and modeling process for mercury ions removal from water using functionalized multi‐walled carbon nanotube as adsorbent. The modeling procedure has been carried out using nonlinear autoregressive network with an exogenous input (NARX) neural network modeling technique is used for modeling the adsorbent's adsorption capacity using different parameters based on experimental data. The effect of different parameters including mercury ions concentration, pH, amount of adsorbent dosage, and contact time is studied. Three kinetics models such as intraparticle diffusion, pseudo first‐order, and pseudo second order are applied using the experimental and predicted outputs, the pseudo second order was the best to describe. A sensitivity study is conducted using different parameters. Various indicators are applied to examine the accuracy and efficiency of the NARX model such are mean square error (MSE), root mean square error, relative root mean square error, mean absolute percentage error, relative error (RE), and coefficient of determination (R2). The value of the maximum RE was 3.49%, the R2 was 0.9998, and the MSE was 4.28 × 10−6. Based on the used indicators, the NARX model was capable to predict the adsorbent's adsorption capacity by comparing the NARX model outputs to the experimental results.

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“…The Langmuir adsorption model is based on the assumption that maximum adsorption corresponds to a saturated monolayer of solute molecules on the adsorbent surface, with no lateral interaction between the sorbed molecules. The linear expression of the Langmuir model [37] is given by Eq. [3]:…”

Section: Adsorption Isothermsmentioning

confidence: 99%

“…The value of R L indicates the shape of the isotherm, which is either unfavorable (R L > 1), linear (R L = 1), favorable (0 < R L < 1), or irreversible (R L = 0) [37]. The Freundlich isotherm is an empirical equation employed to describe heterogeneous systems [37][38][39]:…”

Section: Adsorption Isothermsmentioning

confidence: 99%