Adsorption of Cd(II) and Pb(II) by a novel EGTA-modified chitosan material: Kinetics and isotherms

Zhao, Feiping; Repo, Eveliina; Yin, Dulin; Sillanpää, Mika

doi:10.1016/j.jcis.2013.07.062

Cited by 194 publications

(92 citation statements)

References 44 publications

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“…The intrinsic characteristics of chitosan, such as its availability, non-toxicity, biocompatibility, and reactivity, make it a widely used material in the chemical, environmental, pharmaceutical, food, and medical fields [2,3]. Chitosan and its derivatives are among the most low cost and plentiful biopolymer adsorbents and have attracted significant interest for the removal of organic and inorganic pollutants from waste water [4][5][6][7][8][9][10] due to their outstanding chelating behavior [11,12].…”

Section: Introductionmentioning

confidence: 99%

Response surface methodology approach for optimization of methyl orange adsorptive removal by magnetic chitosan nanocomposite

Ayati

Moghaddam²,

Tanhaei³

et al. 2017

Maced. J. Chem. Chem. Eng.

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In this work, the adsorption process of methyl orange (MO) removal by a magnetic chitosan with an Al 2 O 3 /Fe 3 O 4 core was optimized using the experimental design method in order to maximize the removal efficiency. Response surface methodology (RSM) based on central composite design (CCD) was performed to find the relationship between the effective adsorption parameters on the MO removal efficiency as the response. The statistical parameters of the derived model were acquired: R 2 = 0.9799 and F value = 47.07. Finally, non-linear optimization was carried out and values of 6.5, 0.70 g l -1 , 30 ppm, and 60 min were obtained as the optimum values for pH, adsorbent dosage, initial concentration, and contact time, respectively, while the predicted MO removal efficiency was found to be 96.8 ± 2.2% (with a 95% confidence level). This was in agreement with the experimental response of 96.5 ± 1.4%.Keywords: adsorption; optimization; chitosan; magnetic; response surface methodology ПРИМЕНА НА МЕТОДОЛОГИЈАТА НА ПОВРШИНА НА ОДГОВОР ПРИ ОПТИМИЗАЦИЈА НА АТСОРПТИВНО ОТСТРАНУВАЊЕ НА МЕТИЛ ОРАНЖ СО НАНОКОМПОЗИТ ОД МАГНЕТИЗИРАН ХИТОСАНВо ова истражување, со примена на методот на експериментален дизајн, беше оптимизиран атсорпцискиот процес на отстранување на метил оранж (МО) со магнетизиран хитозан со јадро од Al 2 O 3 /Fe 3 O 4 за да се максимизира ефикасноста на отстранувањето. Беше применета методологијата на површината на одговор (RSM) заснована на централен копмпозитен дизајн (CCD) за да се најде зависноста меѓу ефективните атсорпциски параметри за ефикасноста на отстранувањето на МО како одговор. Беа добиени статистички параметри изведени од моделот R 2 = 0,9799 и вредноста F = 47,07. На крајот, беше извршена нелинеарна оптимизадција и беа добиени следниве соодветни оптимални вредности за рН, доза на атсорбенсот, почетна концентрација и време на контакт од 6,5, 0,70 g l -1 , 30 ppm и 60 min, соодветно, додека предвидената ефикасност на отстранување изнесуваше 96,8 ± 2,2% (со 95% ниво на веродостојност) што беше во согласност со експериментално добиената вредност од 96,5 ± 1,4%.Клучни зборови: атсорпција; оптимизација; хитозан; магнетски својства; методологија на површина на одговор

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Section: Introductionmentioning

confidence: 99%

Response surface methodology approach for optimization of methyl orange adsorptive removal by magnetic chitosan nanocomposite

Ayati

Moghaddam²,

Tanhaei³

et al. 2017

Maced. J. Chem. Chem. Eng.

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“…For instance, several magnetic chitosan composites such as chitosan/Fe 3 O 4 [14][15][16], chitosan/Al 2 O 3 / Fe 3 O 4 [17,18], polyoxometalate-grafted chitosan/Fe 3 O 4 [19] and magnetic graphene/chitosan [8] have been reported as efficient adsorbent composites for the removal of organic pollutants. Also, Zhao et al [15,20], Ayati et al [21], Ren et al [22] and Yang et al [23] used the magnetic chitosan composites for the adsorption of different metal ions adsorption as well as Reddy et al [24] and Vakili et al [10] who studied the adsorption performance of magnetic chitosan composites for metal and dyes removal from aqueous solutions. The works in the literature have been mostly focused on the synthesis and adsorption mechanism and highlighted the effective parameters on the adsorption capacity of these composites.…”

Section: Introductionmentioning

confidence: 99%

Neuro-fuzzy modeling to adsorptive performance of magnetic chitosan nanocomposite

2016

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In the present paper, the adaptive neural fuzzy inference system (ANFIS) was used for modeling of magnetic chitosan adsorption performance for the methyl orange removal. The ANFIS network, which is the best in data predicting, was trained with back propagation optimum method. Our results revealed that the developed ANFIS models can effectively model the non-linearity behavior of the adsorptive performance and the predicted values were in good agreement with the experimental data.

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“…Hence, diethylenetriamine (DETA) exhibits different kinds of coordination modes for interacting with metal ions: for example, five-membered chelating rings increase the metal sorption capacity (Xu et al 2013). Zhao et al reported the modification of chitosan with EDTA, DTPA and EGTA [ethylene glycol-bis(2-aminoethylether)-N,N,N 0 ,N 0 -tetraacetic acid] for the manufacturing of magnetic and nonmagnetic sorbents for the recovery of heavy metals (Zhao et al 2013(Zhao et al , 2015. They pointed out the double effect of EDTA, DTPA and EGTA, which contribute to both the crosslinking of chitosan and the chelation of metal ions.…”

Section: Introductionmentioning

confidence: 99%

Diethylenetriamine-functionalized chitosan magnetic nano-based particles for the sorption of rare earth metal ions [Nd(III), Dy(III) and Yb(III)]

et al. 2015

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The recovery of three rare earth (RE) metals ions [Yb(III), Dy(III) and Nd(III), belonging to heavy, mild and light REs, respectively] was investigated using hybrid chitosan-magnetic nano-based particles functionalized by diethylenetriamine (DETA). The effect of pH on sorption performance was analyzed: the optimum initial pH value was found close to 5 (equilibrium pH value close to 6.5). The nanometric size of sorbent particles (30-50 nm) minimized the contribution of resistance to intraparticle diffusion on the control of uptake kinetics, which is efficiently modeled using the pseudo-second order rate equation: under selected experimental conditions the contact time required for reaching equilibrium was less than 1 h. Sorption isotherms were efficiently modeled using the Langmuir equation: maximum sorption capacities reached about 50 mg metal g -1 , regardless of the RE. The temperature had a very limited effect on sorption capacity (in the range 300-320 K). The thermodynamic parameters were determined: the sorption was endothermic (positive values of DH°), spontaneous (negative values of DG°) and contributed to increasing the disorder of the system (positive values of DS°). The three REs have similar sorption properties on DETA-functionalized chitosan magnetic nano-based particles: the selective separation of these elements seems to be difficult. The sorbed metal ions can be removed from loaded sorbents using thiourea, and the sorbent can be recycled for at least five sorption/desorption cycles with a limited loss in sorption performance (by less than 6 %). The saturation magnetization was close to 20 emu g -1 ; this means that nano-based superparamagnetic particles can be readily recovered by an external magnetic field, making the processing of these materials easy.

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Adsorption of Cd(II) and Pb(II) by a novel EGTA-modified chitosan material: Kinetics and isotherms

Cited by 194 publications

References 44 publications

Response surface methodology approach for optimization of methyl orange adsorptive removal by magnetic chitosan nanocomposite

Response surface methodology approach for optimization of methyl orange adsorptive removal by magnetic chitosan nanocomposite

Neuro-fuzzy modeling to adsorptive performance of magnetic chitosan nanocomposite

Diethylenetriamine-functionalized chitosan magnetic nano-based particles for the sorption of rare earth metal ions [Nd(III), Dy(III) and Yb(III)]

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