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Kinetic model for the sorption of cu (ii) and zn (ii) using lady fern

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Transcripts - Kinetic model for the sorption of cu (ii) and zn (ii) using lady fern

  • 1. Chemical and Process Engineering Research www.iiste.orgISSN 2224-7467 (Paper) ISSN 2225-0913 (Online)Vol 3, 2012 Kinetic Model for the Sorption of Cu (ii) and Zn (ii) Using Lady Fern (Athyrium - Filix – Femina) Leaf Waste Biomass from Aqueous Solution A.K Asiagwu1 I.H Owamah2* and J.O Otutu1 1 Department of Chemistry, Delta State University, Abraka, Nigeria 2. Department of Civil Engineering, Landmark University, P.M.B.1001,Omu-Aran, Kwara State, Nigeria *E-mail:dahilla222@yahoo.comAbstractThis study presents the biosorption of two divalent metal ions, Cu(ii) and Zn(ii) onto lady fern (Athyrium- filix-femina) leaf waste biomass over a wide range of reaction conditions and equilibrium sorption kinetics.The rate of removal of Cu(ii) ions and Zn(ii) ions from aqueous solution bythe lady fern leaf waste biomass was studied in batch conditions. The rate of sorption of copper and zinc was rapidwithin the initial time of 5-20 minutes and reached a maximum in 30 minutes. Kinetic modelling analysis of thepseudo-first order and pseudo-second order equation model using the linear coefficient of determination R2 valuesshowed that the pseudo- second order equation was the most appropriate model for the description of Cu(ii) andZn(ii) ion sorption and can be said to follow a pseudo- second order model. The sorption process was examined bymeans of Langmuir and Freundlich isotherms. The Langmuir equation revealed a monolayer sorption capacity0.09mg/g and 0.09mg/ for Cu(ii) and Zn(ii) respectively. The results from this present study indicates that lady fernleaf waste biomass could be employed for the removal of toxic and valuable metals from industrial effluents.Keywords: Sorption Conditions, Adsorption isotherms and kinetics.1. IntroductionThe problems of our ecosystem are increasing with advancement in technology. Heavy metal pollution is one ofthese problems. Toxic heavy metal release into the environment has been increasing continuously as a result ofman’s industrial activities and technological development(Horsfall and Spiff,2004).The release of heavy metalsposses a significant threat to the environment and public health because of their toxicity, bioaccumulation in the foodchain and persistence in nature (Ceribasi and Yeti,2001). Industrial process for extracting metals or, more generallyall processes involving metals in their productive cycle generate significant heavy metal cations(Fourest andRoux,1992). Mine drainage, metal industries, refining, electroplating, dye and leather industries, domestic effluents,landfill leachate and agricultural runoff all generate wastewater that contain heavy metals(Abia etal,2012). Thepresence of these heavy metals in the environment has led to a number of environmental problems. Since most ofthese heavy metals do not biodegradable into non-toxic end products (Augustine etal,2009), their concentration ineffluents must therefore be reduced to acceptable levels before discharging them into the environment. Otherwise,these metal ions could pose threat to public health or affect the aesthetic quality of potable water (Xu etal,2006).There are several physicochemical methods developed by scientists used in the removal of trace metal ions fromindustrial wastewater such as precipitation, ion exchange, membrane processes, solvent extraction, reverse osmosis,chemical oxidation/reduction, electrochemical treatment, evaporative recovery, lime coagulation and filtration (Suhand Song,2009;Chong andVolesky,1995;Horsfall and Spiff,2005;Horsfall and Spiff,2005).These processes however 1
  • 2. Chemical and Process Engineering Research www.iiste.orgISSN 2224-7467 (Paper) ISSN 2225-0913 (Online)Vol 3, 2012may be ineffective or expensive and non-environment- friendly when the concentrations of the trace metal ions arehigh in the industrial effluent, say 1 – 100mg of trace metal ions per liter (Volesky,1990;Kapor andViraraghavan,1995). These existing treatment processes also have disadvantages like high reagent and energyrequirement, incomplete metal removal, generation of toxic sludge or other waste products which require carefuldisposal. All these have made it imperative for a cost-effective treatment method that is capable of removing tracemetals from industrial effluents.Biological methods such as biosorption/bioaccumulation are presented as alternative methods to traditionalphysicochemical methods for the removal of trace metal ions from effluents as they are more environment- friendlyand economically feasible (Pagnaneffi etal,2002). Adsorption as an alternative method to traditional physio-chemicalmethods is the physical adherence or bonding of ions and molecules onto the surface of another molecule. It is aprocess that uses special solids known as adsorbents to remove substances (pollutants) from either gaseous or liquidphase mixtures. It is a very common method in the form of sorption used in the treatment of wastewater. Theadsorption process involves solid phase (adsorbent) and liquid phase (solvent) containing dissolved species (tracemetal ions in this case) to be sorbed. Owing to the high affinity of the sorbent for the sorbate species, the latter isattracted and bound by different mechanisms. The process continues till equilibrium is established between theamount of solid-bound sorbate species and its portion remaining in the solution. The degree of sorbent affinity for thesorbate determines its distribution between the solid and liquid phase (Norton etal,2004).The adsorbent material is usually a waste material or by product or even waste material from large scale industrialoperations. For example, sorghum chaff, paper mill waste, cocoa-pod husks, coconut fibres, palm bunch wastes, teawaste and many others (Hussein etal,2004;Sudah and Abraham,2001).The major advantages of adsorption over otherconventional treatment methods include: the treatment of large volumes of wastewater with high concentration ofpollutants, high efficiency, low cost and minimization of chemical and/or biological sludge, regeneration ofadsorbent and possibility of metal recovery (Abia etal,2005;Ho etal,1986,Ho etal,1996). The equilibrium of theadsorption process is often described by fitting the experimental data with models usually used for the description ofequilibrium adsorption isotherm (Quek etal,1998). The isotherm models for single metal systems are the Langmuirand Freundlich isotherm models. This present study is therefore focused on the removal of Cu(ii) and Zn(ii) fromwastewater via kinetic approach.2. Materials and Method2.1 Sample CollectionFresh lady fern (Athyrium- filix- femina) leaves were collected from the river bank of River Ethiope in Abraka,Ethiope East Local Government Area of Delta State.These were all hand-plucked from the bank, thoroughly washed with deionised water and allowed to air-dry for threedays. The dried leaf samples were ground with mechanical grinder and then sieved through a British standard screento obtain particles sizes ranging from 100μm to 400μm and stored in a plastic container for further analysis. 2
  • 3. Chemical and Process Engineering Research www.iiste.orgISSN 2224-7467 (Paper) ISSN 2225-0913 (Online)Vol 3, 20123.Experimental Procedures3.1 Activation and Purification of the BiomassThe experiments on activation and purification of the biomass were carried out according to the previous works of(Horsfall and Spiff,2005).600g of finely divided biomass was activated and at the same time, purified by soaking inexcess 0.3M HNO3 for 24 hours to remove any metals and debris that might be in the biomass prior to experimentalmetal ion exposure, followed by washing thoroughly with deionised water until a pH of 7.1 ± 0.1 was attained andresuspended in 1.0M hydroxylamine to remove all O-acetyl groups. To remove all other soluble materials, thebiomass was washed with deionised water and allowed to air-dry for 24 hours at room temperature. After this, thepurified biomass cake obtained from the different particle sizes ranging from 100pm to 400pm were collected atroom temperature.3.2 Effect of Metal Ion Concentration on SorptionThe experiment on the effect of metal ion concentration on sorption was performed according to the previous worksof (Horsfall and Spiff,2005). Several standard solutions of 10, 20, 30, 40, 50, 60 and 70mg/l were prepared for Cu(ii)from CuSO4, and Zn(ii) from ZnSO4.6H2O.The metal solutions made separately were adjusted to pH of 5.0 (since most metals are soluble at this pH) usingconcentrated HCI. 50ml of each metal ion solution was added to accurately weighed (250 ± 0.01mg)activated/purified biomass in different flasks and agitated for 2 hours to ensure that equilibrium was reached. At theend of the time, the suspension was filtered through Whatman No. 45 filter paper and centrifuged at 2500rpm for 5minutes (this is to remove all traces of cloudiness). The supernatants were analyzed for metal ions by AtomicAbsorption Spectrophotometer (AAS) machine(Horsfall and Spiff,2005).3.3 Effect of Contact Time on SorptionThe experiment on the effect of contact time on the metal ion binding was performed according to the previousworks of (Horsfall and Spiff,2005). Activated/purified biomasses (250 ± 0.01mg) were weighed into several flasks.Cu(ii) and Zn(ii) solutions (2.50mg in 50m1 of water) were added to the biomasses. The flasks were then labelled fortime intervals of 5, 10, 15, 20, 25, 30 and 35 minutes respectively. The pH’s of these suspensions were adjusted to5.0. The flasks were tightly covered and shaken at the appropriate time intervals. At the end of each time interval, thesuspensions were filtered using Whatman No. 45 filter paper and then centrifuged at 2800rpm for 5 minutes. Themetal ion concentration was determined using the AAS machine(Horsfall and Spiff,2005).3.4 Analysis of Metal ContentThe Zn(ii) and Cu(ii) contents in all experiments were determined with an Atomic Absorption Spectrophotometer(AAS). Spectroscopic grade standards were used to calibrate the instruments, which were checked throughout the 3
  • 4. Chemical and Process Engineering Research www.iiste.orgISSN 2224-7467 (Paper) ISSN 2225-0913 (Online)Vol 3, 2012analysis for instrument’s response. The batch experiments were performed in triplicates and the means werecomputed for each set of values to maintain quality assurance.4. Data Evaluation4.1 Calculation of the Degree of Metal Ion RemovalThe amount of Cu(ii) and Zn(ii) ions removed by the biomass during the series of the batch investigations weredetermined using a mass balance equation expressed as shown in Equation (1);qe  V CO  Ce  ………..(1) MWhere;qe = metal-ion concentration on the biomass (mg/g) at equilibrium.Ce = metal-ion concentration in solution (mg/I) at equilibrium.Co = initial metal-ion concentration in solution (mg/l)V = volume of initial metal-ion solution used(L)M = Mass of biomass used (g)4.2 Kinetic Treatment of Experimental DataIn order to comprehensively investigate the mechanism of adsorption, pseudo-first order and the pseudo-secondorder kinetic mechanisms as have been used by some workers(Horsfall and Spiff,2005; Hu etal,1995), were appliedto the experimental data.The pseudo-first order expression earlier used by Horsfall and Spiff(2005), for the sorption system of divalentmetal-ions using Aphagnum moss plant was adopted for this study.The linear form of Langergren’s pseudo first order model is given by Equation(2) ;ln qe  qt   ln qe  Kt …………..(2)Where;qe = mass of metal adsorbed at equilibrium (mg/g)qt = mass of metal adsorbed at time t (mg/g)K= equilibrium constant=K1 for this pseudo first order analysisA linear plot of In(qe – qt) versus t confirms the model. From the plotK1 ,is the rate constant (lmin-1) and can be determined from the slope, while qe is the maximum sorption capacity atequilibrium (mg/g) and is obtained from the intercept of the plot.The pseudo second order equation earlier used also by Horsfall and Spiff(2005) for the sorption system of divalentmetal-ions using Aphagnum moss plant was adopted. The linear form of the pseudo-second order model is generallyexpressed in Equation (3); t 1 t   …………………………..(3) qt ho qe 4
  • 5. Chemical and Process Engineering Research www.iiste.orgISSN 2224-7467 (Paper) ISSN 2225-0913 (Online)Vol 3, 2012Whereqt = the amount of divalent metal-ions on the biomass surface (mg/g) at anytime t.qe = the amount of divalent metal-ions sorbed at equilibrium (mg/g)ho = the initial sorption capacity (mg/g min) The initial sorption rate, ho, is defined as shown in Equation(4);ho  K 2 qe2 .....................................(4)Where;K2 is the Pseudo-second order rate constant (g/mg min),which indicates the rate constant of sorption (g/mg.min-1) for the boundary conditions. t A linear plot of against t confirms the model. Having obtained the values of K2 and qe, the maximum qtsorption capacity at any other time(qt) can be obtained using Equation (5)qt  K 2 qe ………………………….(5)qe, K2 and ho can be determined from the slope and intercept of the plot respectively [5].5. Results and Discussions5.1 Effect of Metal Ion Concentration on AdsorptionThe experimental results of the uptake of Cu(ii) and Zn(ii) ions onto the fern leaf waste biomass at various initialmetal-ion concentrations are shown in Table1. The sorption capacity increases from 0.078 – 0.089mg/g Cu(ii) and0.082 – 0.091mg/g Zn(ii) with an increase in metal ion concentration from 10 – 70mg/l and a biomass dose of 5.0g.The two metals in the study were adsorbed in these order Zn(ii) > Cu(ii).However, the actual percentage removal ofthe metal ions from solution increased with increase in the initial metal-ion concentrations (Table 1). This may bedue to the fact that at lower concentrations, adsorption of the metal-ions occurred slowly and further increase ininitial metal-ion concentration led to a competition for available bonding sites on the biomass surface by the metal-ions and thus increased adsorption. Similar adsorption procedure have also been reported by other researchers ( Abiaetal,2002;Quek etal,1998;HorsfallandSpiff,1995).5.2 Effect of Contact Time on AdsorptionTime-dependence experiments were conducted in order to obtain how long the fern leaf biomass would take toadsorb the metal-ions at optimum pH. The data from the time dependent experiments for the removal of trace metalsis as presented in Table 2. As the contact time increased from 5 – 15 minutes, the amount of metal-ions removed bythe biomass was observed to be relatively high until a contact time of 20 minutes was reached, after which the metalion removed dropped and became fairly constant. 5
  • 6. Chemical and Process Engineering Research www.iiste.orgISSN 2224-7467 (Paper) ISSN 2225-0913 (Online)Vol 3, 2012These data reveal that metal-ion removal by the biomass was initially rapid for the two metals investigated. Withinthe first 5 – 25 minutes, the biomass was capable of removing over 70% of each metal ion. Optimum adsorption ofthe two metals was achieved within 5 – 20 minutes and thereafter, dropped almost uniformly. The rapid adsorptionof the metal ions by the biomass indicates that the adsorption might have taken place on the cell wall of the biomass,since most, soluble components were removed using washing. This relatively fast and early removal of metal-ionsalso indicates that physi-sorption as well as chem-sorption processes were involved in the reaction between themetal-ions and fern leaf biomass. Using differing biomasses, similar adsorption trends have been observed by otherresearchers(Queketal,1998; Horsfall and Spiff,1995).6. Freundlich Isotherm The Freundlich model was chosen to estimate the adsorption intensity of the solute (metal-ion) on thesorbent surface. The linear Freundlich isotherm for the sorption of the two divalent metals onto lady fern leaf wastebiomass is shown in Figure 1. Examination of the plot (Inq e VS Ince) reveals that the Freundlich isotherm was not avery appropriate model for the sorption study of the metal-ions since the value of the coefficient R2 for all the twometals were all less than 0.990. Table 3 shows the linear Freundlich sorption isotherm constants and the coefficientof determination (R2). The kf value of Zn(ii) (0.084) is greater than that of Cu(ii) (0.079), suggesting that Zn(ii) hasthe greater adsorption tendency towards the waste biomass than the other metal-ions. The Freundlich equationparameter, 1/n, which is a measure of the adsorption intensity for Cu(ii) (0.073) is higher than that of Zn(ii) (0.051)indicating a preferential sorption of Cu(ii) by the waste biomass.7. Langmuir IsothermThe Langmuir isotherm was adopted for the estimation of the maximum adsorption capacity corresponding tocomplete monolayer coverage on the biomass surface. The plots of specific sorption (Ce/qe) against the equilibriumconcentration (Ce) for Cu(ii) and Zn(ii) ion, is shown in Figure 2 while the linear isotherm parameters qm,K1 and the coefficients of determination are presented in Table 4. 2The R values suggests that the Langmuir isotherm provides agood model for the sorption system. The sorption capacity, q m, which is a measure of the maximum adsorptioncapacity corresponding to complete monolayer coverage, showed that the fern leaf waste biomass had a highcapacity for Cu(ii) (0.09mg/g) and Zn(ii) (0.09mg/g). The adsorption coefficient, KL, which is related to the apparentenergy of sorption was high for Zn(ii) (7.71log -1) than that of Cu(ii) (4.8461og-1). This observation shows that theenergy of adsorption is not very favourable for Cu(ii), probably due to its large ionic radius hence, not all bindingsites may have been available to Cu(ii). Similar capacity orders have also been reported by Horsfall and Spiff(1995),for different metal-ions onto fluted pumpkin waste biomass. The favourability of adsorption of the two metal-ions onto the fern leaf waste biomass was tested using the essential features of the Langmuir isotherm model,expressed in terms of a dimensionless constant called “separation factor” was also used by ( Horsfall andSpiff,1995).The separation factor, SF is defined by the following relationship in Equation(6). 6
  • 7. Chemical and Process Engineering Research www.iiste.orgISSN 2224-7467 (Paper) ISSN 2225-0913 (Online)Vol 3, 2012 1SF  ....................(6) 1  K L COWhere:KL = Langmuir isotherm constant ;Co = initial metal-ion concentration of 10mg/lThe parameter indicates the shape of isotherm as follows:SF > 1 Unfavourable isotherm; SF = 1 Linear isotherm ;SF = 0 Irreversible isotherm ;0 < SF < I Favourable isotherm.The separation parameters for the two metals are less than unity, indicating that the fern leaf waste biomass is anexcellent adsorbent for the two metal-ions. And However, the SF values (Table 4) of Cu(ii) > Zn(ii) indicates that ina single metal system, Zn(ii) will bind faster than Cu(ii) due to low SF value of Cu. This observed separation factoralso indicates that high concentration of Cu(ii) and Zn(ii) in an effluent will not be a limiting factor in the ability ofthe fern leaf waste biomass to sorb these metal-ions. Similar separation parameters have been reported by Horsfalland Spiff(1995). Based on the R2 values, the linear form of the Langmuir isotherm appears to produce a reasonablemodel for the sorption of the two metals since the values are greater than 0.990, thus showing that lady fern leafwaste biomass is an excellent material for the removal of metal-ions from aqueous solution.8. Kinetics of SorptionThis is the most important factor in determining the rate at which sorption takes place for a given system and is alsovery essential in understanding sorbent design, sorbate residence time and reactor dimensions(Horsfall,2004;Ceribasi and Yeti,2001). However, according to (Horsfall and Spiff,1995), sorption kinetics shows alarge range dependence on the physical and/or chemical characteristics of the sorbent materials, which alsoinfluences the sorption process and the mechanism.8.1 Pseudo-first order modelA plot of In(qe – qt) against t (Figure 3) gives the pseudo-first order kinetics. From the plot, it is observed that therelationship between the metal ion diffusivity, ln(qe - qe ) and time, t, is non-linear; indicating that the diffusivity ofthe metal ion onto the biomass surface is film-diffusion controlled. The non-linearity of the diffusivity plot showsthat this equation proposed was not adequate in describing the reactions among the two divalent metal ions onto thebiomass surface. This trend has been reported by [21] on the kinetic study of different ions onto caladium bicolourbiomass. It was also observed that the Langergren pseudo first order equation did not provide a very good descriptionfor the sorption of the two metal ions onto Athyrium- filix-femina biomass as the values of the coefficient ofdetermination, R2, were all less than 0.990 for the two metals. Hence, no further consideration of this model wasattempted. 7
  • 8. Chemical and Process Engineering Research www.iiste.org ISSN 2224-7467 (Paper) ISSN 2225-0913 (Online) Vol 3, 2012 8.2 Pseudo-second order model The initial sorption rate, h0, the equilibrium sorption capacity, qe, the pseudo-second order rate constant K2,and the coefficients of determination, R2, were determined experimentally from the slope and intercept of the plot of t/q F against t (Figure 4) and are shown in Table 6. The data shows that Zn(ii) had a higher sorption rate than Cu(ii). This implies that in a single metal-ion system of the metals, Zn(ii) may be adsorbed better. The coefficient of determination, R2, for the pseudo-first order and second order rate models were used to confirm the sorption mechanism proposed. The R2 values for the two rate constants are listed in Table 7. The data shows a good compliance with the pseudo-second order equation, as the coefficient of determination for metal ions on the biomass were all > 0.990 for the two divalent metal ions. The coefficients of determination for the pseudo-first order kinetic model were all smaller when compared to those of the pseudo-second order indicating that the pseudo-second order model was more appropriate in describing the sorption kinetics. Similar pattern of coefficients of determination have been reported by (Horsfall and Spiff,2005) for the kinetics of sorption of different metal ions on the caladium bicolour biomass 9. CONCLUSIONThis study shows that lady fern (Arthyrium- filix- femina) leaf is a good and affordable adsorbent for the removal ofCu(ii) and Zn(ii) in aqueous. The fern leaf waste biomass adsorbed metal ions from solution, with an increment in sorptioncapacity, qe, with increased metal ion concentration. The adsorption mechanism for these two metal is a stable, rapidprocess and occurred in less than 25minutes,which indicates that adsorption was taken place on the cell wall surface of thelady fern leaf biomass. The Langmuir model showed a better fit than the Freundlich model when the equilibrium data wasfit in both isotherms. The separation factor, Sf obtained from the Langmuir isotherm showed that adsorption of metalions onto the lady fern leaf waste biomass was favourable. The kinetic data clearly established the pseudo-second ordermodel to be a more appropriate model for the description of the metal ion sorption process of Cu(ii) and Zn(ii) ontoAthyrium –filix- femina biomass than the pseudo-first order equation. The results got from this study shows that lady fern(Athyrium- filix -femina) leaf is a good and cheap biosorpent with the potential for the removal and recovery of metalions from heavy metals contaminated wastewater. References 1. Abia, A. A., Horsfall, M. and Didi, O. (2002). Studies on the use of agricultural by-product for the removal of trace metals from aqueous solutions. J. Appl. Sci., Environ. Mgt., 6(2): 89 – 96. 2. Abia, A. A., Igwe, J.C. and Okpareke, O.C. (2005). Sorption kinetics and intraparticulate diffusivities of Co(ii), Fe(ii) and Cu(ii) ions on EDTA modified and unmodified maize cob. Int. J. Chem. 15(3): 187- 191. 3. Augustine, A.A., Orike, B.D. and Edidiong, A.D. (2009). Adsorption kinetics and modelling of Cu(ii) sorption from aqueous solution by mercaptoacetic acid modified cassava (Manihot esculenta cranz), pp. 22 – 29. 8
  • 9. Chemical and Process Engineering Research www.iiste.orgISSN 2224-7467 (Paper) ISSN 2225-0913 (Online)Vol 3, 20124. Ceribasi, H. I. and Yetis, U. (2001). Biosorption of Ni(ii) and Pb(ii) by phamacrochate chrysosporium from a binary metal system – kinetics. Water S. A., 27(1): 15 – 20.5. Chong, K.H, and Volesky, B. (1995). Description of two-metal desorption equilibria by Langmuir-type model. Biotechol. Bloeng. 47: 1- 10.6. Fourest, E; and Roux, C.J (1992). ‘‘Heavy metal biosorption by fungal mycihal by-products: mechanism and influence of pH”. Applied microbiology and biotechnology, 37(3): 610- 617.7. Horsfall, M. Jnr. and Spiff, A.I. (2004) Equilibrium sorption study of Al(iii), Co(ii) and Ag(i) in aqueous solution by fluted pumpkin waste biomass. Acta chin solv. 18:85-96.8. Horsfall, M. Jnr. and Spiff, A. I. (2005). Effect of metal ions concentration on the biosorption of Pb(ii) and Cd(ii) by Caladium bicolor. African journal of biotechnology, 4(2): 191- 196.9. Horsfall, M. Jnr. and Spiff, A. I. (2005). Kinetic study on the sorption of Pb and Cd ions from aqueous solution by Caladium bicolor biomass. J. chemical society of Ethiopia, 19(1):1-14.10. Hussein, H., Ibrahim, S.F., Kandeel, K. and Mdawasd, ,H. (2004). Biosorption of heavy metals from waste water using Pseudomonas spp. Electronic journal of biotechnology, 7(1):1.11. Ho, Y.S., Wase, D.A. and Forster, C.F. (1995). Batal nickel removal from aqueous solution by Sphanguum moss peat. Water research, 29(5) 1327-1332.12. Ho, Y. S., Wase, D.A. and Forster C.F. (1996) Kinetic study of competitive heavy metal adsorption by sphagnum moss peat. Environ technol., 17:71-77.13. Kapoor, A. and Viraraghavan, T. (1995). Fungal biosorption: an alternative treatment option for heavy metal beaming waste water, a review. Bioresource technology, 53: 195 - 206. Volesky, B. and Holan, Z.R. (1995). Biosorption of heavy metals. Biotech. Prog. 11: 235- 250.14. Norton, D.Y., Pearton, S.J., Hebard, A.F., Theodoropoulou, N., Boartner, L.A. and Wilson, R.G. (2003). Ferromagnetism in Mn- implanted ZnO: single crystals. Applied phys.lett., 82a(2): 13.15. Pagnaneffi, F., Esposito, A., Toro, L., and Veglio, F. (2002); Cu and Cd adsorption onto Sphaerotithis nataus: Application and dissemination of commonly used adsorption models. Separation sci.tech. 37(3): 677-699.16. Quek, S.Y., Wase, D.A.J. and Forster, C.F. (1998). The use of sago waste for the sorption of Pb and Cu. Water SA, 24(3): 251- 256.17. Sudha, B.R and Abraham, T.E. (2001). Biosorption of Cr(iv) from aqueous solution by Rhizopus nigri cans. Bioresource technology, 79:73-81.18. Suh, J.H; Kim, D.S; and Song, S.K. (2001). Inhibition effect of initial Pb(ii) concentration on Pb(ii) accumulation by Saccharomyces cereviseae and aureobaridium pollutants. Bioresource the. 79:99-102.19. Xu, T., Sonnenthal, E.L., Spycher, N. and Pruess, K. (2006). THOURGHREACT: A simulation programme for non isothermal multiphase reactive geochemical transport in viably saturated geologic media. Computer and Geoscience, 32: 145 – 165.20. Volesky, B. (1990). Biosorption and Biosorbent. In Biosorption of heavy metals, pp. 3-5.Corresponding Author’s Address: Engr Owamah I. Hilary, Civil Engineering Department, Landmark University, P.M.B.1001,Omu-Aran,KwaraState, Nigeria.E-mail:dahilla222@yahoo.comPhone:+23408357058141 Dr Augustine Asiagwu has a PhD in Chemistry(physical/environmental chemistry option) from the Nnamdi Azikiwe University ,Awka, Anambra State, Nigeria. Helectures at the Chemistry Department of Delta State University,Abraka,Nigeria. His major research interests are adsorption studies and modelling, wastewatertreatment, pollution control and others. Dr Asiagwu is a registered Member of the Chemical Society of Nigeria and has published extensively in revered internationaland national scientific journals.3 Engr Hilary Owamah was born on the 27th of August,1982,at Boji-Boji Owa, Agbor, Delta State, Nigeria. He is presently a PhD student of Civil Engineering(waterresources and environmental engineering) at University of Benin, and a lecturer at the Civil Engineering Department of Landmark University, Omu-Aran, KwaraState, both in Nigeria.He has researched extensively into the kinetics and thermodynamics of adsorptions for dyes and heavy metals, using different local materials, wastewater and solidwaste management. His present research is on alternative energy generation from waste and biogas production modelling. 9
  • 10. Chemical and Process Engineering Research www.iiste.orgISSN 2224-7467 (Paper) ISSN 2225-0913 (Online)Vol 3, 2012Engr Owamah Ijeoma Hilary is a member of the Nigerian Society of Engineers and a registered Engineer with the Council for the Regulation of Engineering inNigeria. Table 1. Effect of Concentration on Metal-Ion Removal Initial metal ion concentration (mg/l) Amount of metal ion adsorbed (mg/g) qe Amount of metal ion adsorbed (mg/g) qe Cu Zn 10 0.078 0.082 20 0.087 0.089 30 0.089 0.091 40 0.089 0.092 50 0.090 0.092 60 0.089 0.091 70 0.089 0.091(Mass of biomass 5g, pH 5.0, temperature 25° time 2 hours, volume 50ml) C, Table 2. Effect of Contact Time on Metal Ion Removal Initial metal ion concentration (mg/l) Amount of metal ion adsorbed (mg/g) qe Amount of metal ion adsorbed (mg/g) qe Cu Zn 5 0.076 0.079 10 0.073 0.077 15 0.062 0.069 20 0.053 0.066 25 0.044 0.055 30 0.032 0.044 35 0.020 0.036 H(Mass of biomass 5g, concentration 10mg/l, volume 50ml, p 5.0, temperature 25°C) Table 3. Linear Isotherm Freundlich Parameters Metal ions 1/n Kf R2 Cu(ii) 0.073 0.079 0.473 Zn(ii) 0.051 0.084 0.324 Table 4. Linear Langmuir Isotherm ParametersMetal ions qm (mgg-1) KL (lg-1) R2 SFCu(ii) 0.073 0.079 0.473 0.025Zn(ii) 0.051 0.084 0.324 0.015 Table 5. Pseudo-first order rate kinetic values for the sorption of the two metal-ions Metal ions K1 qe (mgg-1) R2 Cu(ii) 0.104 0.0032 0.795 Zn(ii) 0.085 0.0038 0.847 10
  • 11. Chemical and Process Engineering Research www.iiste.orgISSN 2224-7467 (Paper) ISSN 2225-0913 (Online)Vol 3, 2012 Table 6. Pseudo-second order kinetic parameters values for the sorption of the two metal ions on the biomassMetal ions qo (mgg-1 min-1) K2 (mgg-1 min-1) qe (mgg-1) R2Cu(ii) 0.0024 6.00 0.020 0.822Zn(ii) 0.0056 4.48 0.034 0.925Table 7. Comparison of coefficients of determination, R2, for the pseudo-first (K1) and pseudo-second (K2) order rate models 2 Metal ions R from K1 R2 from K2 Cu(ii) 0.795 0.822 Zn(ii) 0.847 0.925 Figure 1: Freundlich Equilibrium Isotherm for the Sorption for Cu(ii) and Zn(ii) Ions 11
  • 12. Chemical and Process Engineering Research www.iiste.orgISSN 2224-7467 (Paper) ISSN 2225-0913 (Online)Vol 3, 2012 Figure 2:Langmuir Equilibrium Isotherm for the Sorption for Cu(ii) and Zn(ii) Figure 3. Pseudo-First Order Sorption Kinetics for the Sorption for Cu (ii) and Zn (ii) Ions 12
  • 13. Chemical and Process Engineering Research www.iiste.orgISSN 2224-7467 (Paper) ISSN 2225-0913 (Online)Vol 3, 2012 Figure 4: Pseudo-Second Order Sorption Kinetics for the Sorption for Cu (ii) and Zn (ii) 13
  • 14. This academic article was published by The International Institute for Science,Technology and Education (IISTE). The IISTE is a pioneer in the Open AccessPublishing service based in the U.S. and Europe. The aim of the institute isAccelerating Global Knowledge Sharing.More information about the publisher can be found in the IISTE’s homepage:http://www.iiste.orgThe IISTE is currently hosting more than 30 peer-reviewed academic journals andcollaborating with academic institutions around the world. Prospective authors ofIISTE journals can find the submission instruction on the following page:http://www.iiste.org/Journals/The IISTE editorial team promises to the review and publish all the qualifiedsubmissions in a fast manner. All the journals articles are available online to thereaders all over the world without financial, legal, or technical barriers other thanthose inseparable from gaining access to the internet itself. Printed version of thejournals is also available upon request of readers and authors.IISTE Knowledge Sharing PartnersEBSCO, Index Copernicus, Ulrichs Periodicals Directory, JournalTOCS, PKP OpenArchives Harvester, Bielefeld Academic Search Engine, ElektronischeZeitschriftenbibliothek EZB, Open J-Gate, OCLC WorldCat, Universe DigtialLibrary , NewJour, Google Scholar

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