Multivariate optimisation of Cr (VI), Co (III) and Cu (II) adsorption onto nanobentonite incorporated nanocellulose/chitosan aerogel using response surface methodology

Shahnaz, Tasrin; Sharma, Vivek; Subbiah, Senthilmurugan; Narayanasamy, Selvaraju

doi:10.1016/j.jwpe.2020.101283

Cited by 145 publications

(32 citation statements)

References 49 publications

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“…The positive correlation between temperature and adsorption efficiency implies that the removal of MCPA increases with an increase in temperature. This is because the increase in the temperature will reduce the viscosity of the solution, which allows easy mobility of the adsorbate molecules [ 46 ]. Also, the rise in temperature improves the surface activities and pore capacity of the adsorbent as well as the kinetic energy of the solution.…”

Section: Resultsmentioning

confidence: 99%

Removal of 4-chloro-2-methylphenoxyacetic acid from water by MIL-101(Cr) metal-organic framework: kinetics, isotherms and statistical models

et al. 2021

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Effective removal of 4-chloro-2-methylphenoxyacetic acid (MCPA), an emerging agrochemical contaminant in water with carcinogenic and mutagenic health effects has been reported using hydrothermally synthesized MIL-101(Cr) metal-organic framework (MOF). The properties of the MOF were ascertained using powdered X-ray diffraction (XRD), Fourier transform infrared (FTIR) spectroscopy, thermal gravimetric analysis (TGA), field emission scanning electron microscopy (FESEM) and surface area and porosimetry (SAP). The BET surface area and pore volume of the MOF were 1439 m 2 g −1 and 0.77 cm 3 g −1 , respectively. Artificial neural network (ANN) model was significantly employed for the accurate prediction of the experimental adsorption capacity ( q e ) values with minimal error. A rapid removal of the pollutant (99%) was recorded within short time (approx. 25 min), and the reusability of the MOF (20 mg) was achieved up to six cycles with over 90% removal efficiency. The kinetics, isotherm and thermodynamics of the process were described by the pseudo-second-order, Freundlich and endothermic adsorption, respectively. The adsorption process is spontaneous based on the negative Gibbs free energy values. The significant correlation between the experimental findings and simulation results suggests the great potential of MIL-101(Cr) for the remediation of MCPA from water matrices.

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Section: Resultsmentioning

confidence: 99%

Removal of 4-chloro-2-methylphenoxyacetic acid from water by MIL-101(Cr) metal-organic framework: kinetics, isotherms and statistical models

et al. 2021

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“…The Box–Behnken design (BBD) (a type of RSM) reduces the number of laboratory trials and anticipates responses with high precision 20 , 24 . Several studies have investigated RSM-based biosorption of heavy metals using microalgae 25 – 28 . Although the RSM technique is efficient, it may provide only locally optimal solutions 29 .…”

Section: Introductionmentioning

confidence: 99%

Experimental study and parameters optimization of microalgae based heavy metals removal process using a hybrid response surface methodology-crow search algorithm

Sultana

Hossain

Mohammed

et al. 2020

Sci Rep

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This study investigates the use of microalgae as a biosorbent to eliminate heavy metals ions from wastewater. The Chlorella kessleri microalgae species was employed to biosorb heavy metals from synthetic wastewater specimens. FTIR, and SEM/XRD analyses were utilized to characterize the microalgal biomass (the adsorbent). The experiments were conducted with several process parameters, including initial solution pH, temperature, and microalgae biomass dose. In order to secure the best experimental conditions, the optimum parameters were estimated using an integrated response surface methodology (RSM), desirability function (DF), and crow search algorithm (CSA) modeling approach. A maximum lead(II) removal efficiency of 99.54% was identified by the RSM–DF platform with the following optimal set of parameters: pH of 6.34, temperature of 27.71 °C, and biomass dosage of 1.5 g L−1. The hybrid RSM–CSA approach provided a globally optimal solution that was similar to the results obtained by the RSM–DF approach. The consistency of the model-predicted optimum conditions was confirmed by conducting experiments under those conditions. It was found that the experimental removal efficiency (97.1%) under optimum conditions was very close (less than a 5% error) to the model-predicted value. The lead(II) biosorption process was better demonstrated by the pseudo-second order kinetic model. Finally, simultaneous removal of metals from wastewater samples containing a mixture of multiple heavy metals was investigated. The removal efficiency of each heavy metal was found to be in the following order: Pb(II) > Co(II) > Cu(II) > Cd(II) > Cr(II).

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“…Maghnite used for adsorption of Cu(II) in aqueous solution [ 18 ]. Green coconut shells applied as an adsorbent for the removal of toxic metal ions such as Cu2+, Pb2+, Cd2+, Zn2+, Ni2+ [ 19 ], Sweet Potato Skin is used for biosorption of Cadmium [ 20 ], Synthesized magnetic graphene oxide is applied for removal of toxic heavy metal ions such as Pb +2 , Cr +3 , Cu +2 , Zn +2 and Ni +2 [ 21 ], Nanobentonite integrated Nanocellulose/Chitosan aerogel (NCNB) is used for the optimization of chromium, cobalt and copper adsorption [ 22 ]. Clay soil mixed with different admixtures (cement, gypsum, lime, and bentonite) implemented in the removal of Cadmium [ 23 ].…”

Section: Introductionmentioning

confidence: 99%

Investigation of Taguchi optimization, equilibrium isotherms, and kinetic modeling for cadmium adsorption onto deposited silt

Korake

Jadhao²

2021

Heliyon

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Multivariate optimisation of Cr (VI), Co (III) and Cu (II) adsorption onto nanobentonite incorporated nanocellulose/chitosan aerogel using response surface methodology

Cited by 145 publications

References 49 publications

Removal of 4-chloro-2-methylphenoxyacetic acid from water by MIL-101(Cr) metal-organic framework: kinetics, isotherms and statistical models

Removal of 4-chloro-2-methylphenoxyacetic acid from water by MIL-101(Cr) metal-organic framework: kinetics, isotherms and statistical models

Experimental study and parameters optimization of microalgae based heavy metals removal process using a hybrid response surface methodology-crow search algorithm

Investigation of Taguchi optimization, equilibrium isotherms, and kinetic modeling for cadmium adsorption onto deposited silt

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