Sorption of Hg(II) onto Carica papaya: Experimental studies and design of batch sorber

Basha, Shaik; Murthy, Z.V.P.; Jha, Bhavanath

doi:10.1016/j.cej.2008.07.005

Cited by 125 publications

(84 citation statements)

References 49 publications

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“…Data obtained through such studies are very helpful in designing of batch process as well as continuous reaction columns [59,60]. In present investigation, two different isotherms namely Langmuir and Freundlich model have been applied on Zn(II) ion biosorption data to predict suitability of process.…”

Section: Isotherm Kinetic and Mechanistic Modelingmentioning

confidence: 99%

Zn(II) Ion Biosorption onto Surface of Eucalyptus Leaf Biomass: Isotherm, Kinetic, and Mechanistic Modeling

Mishra

Balomajumder

Agarwal

2010

CLEAN Soil Air Water

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Bioremediation of Zn(II) by biosorption across aqueous phase on to surface of eucalyptus leaf powder has been investigated in present research work. The adsorptive potential of eucalyptus leaf powder was evaluated as function of pH, temperature, contact time, agitation rate and particle size. Maximum metal ion uptake and percentage removal capacity of eucalyptus leaf powder were 23.5 mg g À1 and 94%, respectively, at optimized pH 5, 20 AE 18C, contact time 6 h, particle size 0.5 mm and agitation rate 200 rpm. The biomass surface analysis revealed the fact that the biomass surface was heterogeneous and porous in nature. The functional groups like amine, amide, carboxyl, hydroxyl, and methyl groups, significantly important for metal ion binding were present on biomass surface in tremendous amount. Additionally, the Fourier transformation IR spectrum analysis of acid and base activated eucalyptus leaf biomass ruled out all the possibilities of the presence of surface functional groups mentioned above. The reaction rate was studied by applying two rate limiting models pseudo first and pseudo second order. Pseudo second order model was found to be more suitable (R 2 ¼ 0.998) in comparison to pseudo first order (R 2 ¼ 0.724). Adsorption equilibrium of batch stirred reaction data fitting shows the dominance of Langmuir isotherm (R 2 ¼ 0.99) against Freundlich isotherm (R 2 ¼ 0.887) model with equipartitional involvement of both film and intra particle diffusion as rate limiting steps at differential status of contact time.Keywords: Bioremediation; Intra particle diffusion; Langmuir isotherm; Pseudo second order reaction; Zn(II) ion IntroductionThe rapid and tremendous industrial development during last decade has increased the heavy metal pollution in environment [1,2]. Heavy metals are non-biodegradable and have tendency to get accumulated inside the human body via incorporation through food chain [3][4][5][6][7]. Major industrial operations unit like metallurgy, steel production, paint and pigment industry, copper smelting unit, acid mine drainage, electroplating, and metal finishing significantly contribute to heavy metal pollution in natural water streams [8][9][10][11][12]. Various remedial technologies/unit operations viz. osmosis, electro coagulation and flocculation, reverse osmosis, solvent extraction, hydroxide precipitation, and membrane separation have been adopted to remove heavy metals across liquid phase [13,14]. In general, all these above mentioned technologies are expensive, lead to generation of secondary chemical sludge containing heavy metals, making the disposal of sludge questionable, and ineffective in removing heavy metals including Zn(II), Cd(II), Pb(II), Cu(II), and Cr(III) at low concentration levels ranging between 1 and 100 mg L À1 [10,[15][16][17][18][19]. Zinc is one of the elements of heavy metal series. Though zinc is an essential element of life but its exposure beyond permissible limit, defined by United States Environmental Protection Agency, World Health Organization, Canadian Wate...

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Section: Isotherm Kinetic and Mechanistic Modelingmentioning

confidence: 99%

Zn(II) Ion Biosorption onto Surface of Eucalyptus Leaf Biomass: Isotherm, Kinetic, and Mechanistic Modeling

Mishra

Balomajumder

Agarwal

2010

CLEAN Soil Air Water

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“…Materials such as activated carbon and clays, among others, have shown a potential contaminants adsorbent capacity. However, in the need to find inexpensive and high availability materials, there are a growing number of studies on agroindustrial waste as bagasse from sugar [12], stem of papaya [13], shell bean [14], banana peel [15], coffee residues [16], orange peel [17], among others, to be used as adsorbent materials.…”

Section: Introductionmentioning

confidence: 99%

Removal of Cd (II) from Aqueous Media by Adsorption onto Chemically and Thermally Treated Rice Husk

Hoyos-Sánchez

Córdoba-Pacheco

Rodríguez-Herrera

et al. 2017

Journal of Chemistry

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Chemically and thermally treated rice husks were evaluated as a potential decontaminant of toxic Cd (II) in aqueous media. Rice husk (RH), a by-product from rice milling, was chemically treated with HCl and NaOH. Then, thermal treatments to 300, 500, and 700∘ C were applied. The chemical composition and morphological characteristics of RH were evaluated by different techniques. The specific surface area analysis of RH samples by BET nitrogen adsorption method provided specific surface areas ranging from 6 to 14 m 2 /g. SEM, FTIR, and EDX analyses of RH were carried out to determine the surface morphology, functional groups involved in metal binding mechanism, and C/O and C/Si ratios, respectively. The maximum Cd (II) adsorption capacity was 28.27 mg/g at an optimum pH, 6.0. The kinetic studies revealed that adsorption process followed the pseudo-second-order kinetic model.

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“…The pH is one of the significant factors that considerably influences the adsorbate ion speciation, the chemistry of solution, interaction between adsorbate and adsorbent and surface charge of adsorbent surface (Basha et al 2009;Dash et al 2009). Hence, the effect of pH on phycoremediation of As(III) and As(V) by microalgae was monitored by changing the initial pH of the solution in the range of 2.0-12.0.…”

Section: Resultsmentioning

confidence: 99%

Prediction of phycoremediation of As(III) and As(V) from synthetic wastewater by Chlorella pyrenoidosa using artificial neural network

Podder

Majumder

2017

Appl Water Sci

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An artificial neural network (ANN) model was developed to predict the phycoremediation efficiency of Chlorella pyrenoidosa for the removal of both As(III) and As(V) from synthetic wastewater based on 49 data-sets obtained from experimental study and increased the data using CSCF technique. The data were divided into training (60%) validation (20%) and testing (20%) sets. The data collected was used for training a three-layer feed-forward back propagation (BP) learning algorithm having 4-5-1 architecture. The model used tangent sigmoid transfer function at input to hidden layer (tansing) while a linear transfer function (purelin) was used at output layer. Comparison between experimental results and model results gave a high correlation coefficient (R allANN 2 equal to 0.99987 for both ions and exhibited that the model was able to predict the phycoremediation of As(III) and As(V) from wastewater. Experimental parameters influencing phycoremediation process like pH, inoculum size, contact time and initial arsenic concentration [either As(III) or As(V)] were investigated. A contact time of 168 h was mainly required for achieving equilibrium at pH 9.0 with an inoculum size of 10% (v/v). At optimum conditions, metal ion uptake enhanced with increasing initial metal ion concentration.

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Sorption of Hg(II) onto Carica papaya: Experimental studies and design of batch sorber

Cited by 125 publications

References 49 publications

Zn(II) Ion Biosorption onto Surface of Eucalyptus Leaf Biomass: Isotherm, Kinetic, and Mechanistic Modeling

Zn(II) Ion Biosorption onto Surface of Eucalyptus Leaf Biomass: Isotherm, Kinetic, and Mechanistic Modeling

Removal of Cd (II) from Aqueous Media by Adsorption onto Chemically and Thermally Treated Rice Husk

Prediction of phycoremediation of As(III) and As(V) from synthetic wastewater by Chlorella pyrenoidosa using artificial neural network

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