Two-step preparation of amidoxime-functionalized natural zeolites hybrids for the removal of Pb2+ ions in aqueous environment

Puspitasari, Tita; Kadja, Gtm; Radiman, Cynthia Linaya; Darwis, Darmawan; Mukti, Rino R.

doi:10.1016/j.matchemphys.2018.05.083

Cited by 44 publications

(19 citation statements)

References 47 publications

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“…The excess of cations partially shields negatively charged functional groups (such as OH − and COO − ); in addition, it prevents anion–anion repulsion and increases Na + ion exchange; this was emphasized by the appearance of Na 1 s signal on the XPS survey analysis of the sorbent after metal sorption. The sorption of Pb(II) on amidoxime-functionalized zeolite hybrids reached an optimum value at pH close to 6 [39]. Rahman et al [67] reported similar trends for the sorption of Cu(II), Ni(II), Co(II), Cr(III), and Fe(III) on tapioca-cellulose functionalized with poly(amidoxime) ligands.…”

Section: Resultsmentioning

confidence: 96%

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Amidoxime Functionalization of Algal/Polyethyleneimine Beads for the Sorption of Sr(II) from Aqueous Solutions

Wei

Salih

et al. 2019

Molecules

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There is a need for developing new sorbents that incorporate renewable resources for the treatment of metal-containing solutions. Algal-polyethyleneimine beads (APEI) (reinforced with alginate) are functionalized by grafting amidoxime groups (AO-APEI). Physicochemical characteristics of the new material are characterized using FTIR, XPS, TGA, SEM, SEM-EDX, and BET. AO-APEI beads are tested for the recovery of Sr(II) from synthetic solutions after pH optimization (≈ pH 6). Uptake kinetics is fast (equilibrium ≈ 60–90 min). Sorption isotherm (fitted by the Langmuir equation) shows remarkable sorption capacity (≈ 189 mg Sr g−1). Sr(II) is desorbed using 0.2 M HCl/0.5 M CaCl2 solution; sorbent recycling over five cycles shows high stability in terms of sorption/desorption performances. The presence of competitor cations is studied in relation to the pH; the selectivity for Sr(II) is correlated to the softness parameter. Finally, the recovery of Sr(II) is carried out in complex solutions (seawater samples): AO-APEI is remarkably selective over highly concentrated metal cations such as Na(I), K(I), Mg(II), and Ca(II), with weaker selectivity over B(I) and As(V). AO-APEI appears to be a promising material for selective recovery of strontium from complex solutions (including seawater).

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Section: Resultsmentioning

confidence: 96%

“…Despite drastic drying conditions, the synthesis procedure incorporating algal biomass, alginate, and PEI allowed maintaining appreciable textural properties. In the case of zeolite functionalization with amidoxime, Puspitasari et al [39] reported a specific surface area close to 20 m 2 g −1 , and a porous volume close to 0.07 cm 3 g −1 .…”

Section: Resultsmentioning

confidence: 99%

Amidoxime Functionalization of Algal/Polyethyleneimine Beads for the Sorption of Sr(II) from Aqueous Solutions

Wei

Salih

et al. 2019

Molecules

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“…Zeolites occur naturally as minerals and are obtained by mining. In the paper (Nguyen et al 2010 ; Wang and Peng 2010 ; Puspitasari et al 2018 ), the application of natural or modified zeolites for water and wastewater treatment is discussed.…”

Section: Introductionmentioning

confidence: 99%

Dynamics modeling of multicomponent metal ions’ removal onto low-cost buckwheat hulls

Tomczak

Kamiński

2020

Environ Sci Pollut Res

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The process of adsorption from water solutions containing a ternary system of Cu (II), Zn (II), and Ni (II) ions onto buckwheat hulls as a biosorbent was considered. The sorption capacity for buckwheat hulls was determined in sorption equilibrium batch experiments. The sorption kinetics equation corresponding to the mechanism of metal ions with the adsorbent was assumed. A new method for modeling sorption in a packed column was presented. A system of partial differential equations describing the mass balance, due to the assumption of a properly defined variable, was transformed into a system of ordinary nonlinear equations, which enables the identification of object parameters. The sorption capacity of the sorbent, sorption isotherms, and kinetics equations were used in dynamics modeling.

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“…The utilization of AO-modified polymer through adsorption method is an attractive alternative as compared to traditional separation methods due to their high specific surface area which leads to high adsorption rate and capacity as compared to other types of materials such as foams and conventional fibers, reusability and environment-friendly attribute, etc [12][13][14]. The application of amidoxime-functionalized polymer in metal recovery has much been reported [15][16][17][18][19]. However, the possibility of incorporation of acrylic adsorbent to AO groups in adsorbing and desorbing boron ions has not been reported.…”

Section: Introductionmentioning

confidence: 99%

Application of feed-forward and recurrent neural network in modelling the adsorption of boron by amidoxime-modified poly(Acrylonitrile-co-Acrylic Acid)

Jamil

Abdullah

et al. 2019

Environmental Engineering Research

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This research reports application of artificial neural network (ANN) in investigation and optimisation of boron adsorption capacity in aqueous solution using amidoxime-modified poly(acrylonitrile-co-acrylic acid) (AO-modified poly(AN-co-AA)). Both feed-forward and recurrent ANN have been utilized to predict the adsorption potential of synthesised polymer. Three operational parameters, which are adsorbent dosage, initial pH and initial boron concentration during adsorption process were designed to study their effects on the removal capacity. The ANN was trained from experimental data and serviced to optimize, develop and create various prediction models in the process of boron adsorption by AO-modified poly(AN-co-AA). Among several models, radial basis function (RBF) with orthogonal least square (OLS) algorithm displayed good prediction on boron adsorption capacity with mean square error (MSE) and coefficient of determination (R2) at 0.000209 and 0.9985, respectively. With desirable the MSE and R2 values, ANN worked as a promising prediction tool that was able to generate good estimate. The simulated maximum adsorption capacity of the synthesized polymer is 15.23 ± 1.05 mg boron/g adsorbent. Besides, from the results of ANN, the AO-modified poly(AN-co-AA) was proven to be a potential adsorbent for the removal of boron in wastewater treatment.

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Two-step preparation of amidoxime-functionalized natural zeolites hybrids for the removal of Pb2+ ions in aqueous environment

Cited by 44 publications

References 47 publications

Amidoxime Functionalization of Algal/Polyethyleneimine Beads for the Sorption of Sr(II) from Aqueous Solutions

Amidoxime Functionalization of Algal/Polyethyleneimine Beads for the Sorption of Sr(II) from Aqueous Solutions

Dynamics modeling of multicomponent metal ions’ removal onto low-cost buckwheat hulls

Application of feed-forward and recurrent neural network in modelling the adsorption of boron by amidoxime-modified poly(Acrylonitrile-co-Acrylic Acid)

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