Environmental Biotechnology

Process Biotechnology

Electronic Journal of Biotechnology ISSN: 0717-3458 Vol. 6 No. 3, Issue of December 15, 2003
© 2003 by Pontificia Universidad Católica de Valparaíso -- Chile Received March 25, 2003 / Accepted October 30, 2003

DOI: 10.2225/vol6-issue3-fulltext-5


An evaluation of copper biosorption by a brown seaweed under optimized conditions

Wallace M. Antunes
Departamento de Química Analítica
Instituto de Química
Universidade do Estado do Rio de Janeiro
Rua São Francisco Xavier, 524 550-013
Rio de Janeiro, Brazil
Tel: 55 21 25877322
Fax: 55-21-25877227

Aderval S. Luna
Departamento de Química Analítica
Instituto de Química
Universidade do Estado do Rio de Janeiro
Rua São Francisco Xavier, 524 20550-013
Rio de Janeiro, Brazil
Tel: 55 21 25877322
Fax: 55 21 25877227
E-mail: asluna@uerj.br

Cristiane A. Henriques
Departamento de Química Analítica
Instituto de Química
Universidade do Estado do Rio de Janeiro
Rua São Francisco Xavier, 524 20550-013
Rio de Janeiro, Brazil
Tel: 55 21 25877322
Fax: 55 21 25877227
E-mail: cah@uerj.br 

Antonio Carlos A. da Costa*
Departamento de Tecnologia de Processos Bioquímicos
Instituto de Química
Universidade do Estado do Rio de Janeiro
Rua São Francisco Xavier, 524 20550-013
Rio de Janeiro, Brazil
Tel: 55 21 25877322
Fax: 55 21 2587 7227
E-mail: acosta@uerj.br

*Corresponding author

biosorption, copper, equilibrium, kinetics, Sargassum sp.

Abstract Reprint (PDF)

A basic investigation into the removal of copper ions from aqueous solutions by Sargassum sp. was conducted in batch conditions. The influence of different experimental parameters such as initial pH, shaking rate, sorption time, temperature, equilibrium conditions and initial concentrations of copper ions on copper uptake was evaluated. Results indicated that for shaking rates higher than 100 rpm no significant changes in copper accumulation were observed, as well as for pH values between 3.0 and 5.0. No marked effect on the biosorption of copper was detected for temperatures between 298 and 328K. The Langmuir model better represented the sorption process, in comparison to the model of Freundlich. The process followed a second-order kinetics and its calculated activation energy was 5.2 kcal/mol. Due to its outstanding copper uptake capacity (1.48 mmol/g biomass) Sargassum sp. proved to be an excellent biomaterial for accumulating and recovering copper from industrial solutions.

Materials and Methods
  • Seaweed
  • Copper solutions
  • Determination of the copper...
  • Batch biosorption studies
  • Metal uptake
    Results and Discussion
  • Influence of shaking rate
  • Influence of initial pH
  • Effect of temperature on copper...
  • Equilibrium modeling
  • Biosorption kinetics of copper ions
  • Kinetic modeling
  • Concluding Remarks
    Table 1
    Table 2
    Table 3
    Table 4
    Figure 1
    Figure 2
    Figure 3
    Figure 4

    The increased use of metals and chemicals in the process industries has resulted in the generation of large quantities of aqueous effluents that contain high levels of heavy metals, creating serious environmental disposal problems. Additionally, mining, mineral processing and extractive metallurgical operations generate huge volumes of toxic liquid waste (Modak and Natarajan, 1995). Since copper is a widely used material, there are many actual or potential sources of copper pollution. Copper may be found as a contaminant in food, especially shellfish, liver, mushroom, nuts, and chocolate. Briefly, any processing or container using copper material may contaminate the product, such as food, water or drink. Copper is essential to human life and health but, like all heavy metals, is potentially toxic as well (Nuhoglu et al. 2002).

    A number of methods exist for the removal of heavy metal pollutants from liquid wastes when they are present in high concentrations. These include methods such as precipitation, evaporation, electroplating, ion-exchange and membrane processes (Matheickal and Yu, 1999). These processes are expensive, and also have other shortcomings, such as incomplete removal of metals, limited tolerance to pH change, moderate or no metal selectivity, very high or low working levels of metals, and production of toxic sludge or other waste products that also need disposal (Bunke et al. 1999; Eccles, 1999).

    Biosorption of heavy metals from aqueous solution can be considered as an alternative technology in industrial wastewaters treatment (Veglió and Beolchini, 1997). It is based on the ability of biological materials to accumulate heavy metals from wastewater by either metabolically mediated, or physico-chemical pathways of uptake (Fourest and Roux, 1992). This innovative depurative process uses biomaterials which are either abundant in nature such as marine algae (Schiewer and Volesky, 1995) or wastes coming from industrial production (Gallagher and Moo-Young, 1998) and biological processes such as fermentation (Tianwei and Peng, 2000) and water treatment (Leung et al. 2000).

    Brown seaweeds (Phaeophyceae) constitute an algal group containing the characteristic pigment fucoxantine, responsible for their brown color. Floating masses of Sargassum constitute the Sargasso Sea, being also very common in the Brazilian Coast. All Sargassum species contain floating bubbles, responsible for their decreased density, thus contributing for their presence in the marine environment. Quantitatively, the most abundant polysaccharide in the cell wall of brown seaweeds is alginic acid. Alginic acid is a polymer constituted by two uronic acids (b-1,4-D-mannuronic and a-1,4-L guluronic), with molar ratio between the acids ranging from 0.25 to 2.5. Alginic acid is present in these seaweeds usually as calcium, magnesium, sodium and potassium salts, mainly in the cell wall. It is a structural polysaccharide with strong ion-exchange properties. Beyond its high metal uptake capacity, this algal genus has been selected for study due to their wide distribution in most tropical countries, being available at high quantities as a waste biomaterial (Costa et al. 2001).

    In this work, the use of Sargassum sp. as a biosorbent for copper ions from aqueous solution was studied. The influence of different parameters on copper uptake such as sorption time, agitation speed, initial pH, temperature and initial copper concentration was investigated. The kinetic and equilibrium of biosorption process were evaluated and the maximum biosorption capacity of the biomass, based on dry weight, was determined from the equilibrium data measured under optimized conditions of pH and modeled according to Langmuir model.

    Materials and Methods


    The brown seaweed Sargassum sp. (Chromophyta) used in this work was harvested from the sea (Northeastern Coast of Brazil), sampled, extensively washed with distilled water to remove particulate material from their surface, and oven-dried at 343 K for 24 hrs. One kg of biomass was sub-sampled for use in the experiments. In order to ensure that homogeneous samples were used, standard sampling techniques were applied. Dried biomass was cut, ground in a mortar with pestle and then sieved. The fraction with 0.3-0.7 mm was selected for use in the sorption tests.

    Copper solutions

    Stock copper solution (1000 mg/mL) was prepared by dissolving 2.683 g of copper chloride dihydrate (Merck, Darmstadt, Germany) in 100 mL of deionized distilled water (DDW) and diluting quantitatively to 1000 mL using DDW. Copper solutions of different concentrations were prepared by adequate dilution of the stock solution with DDW.

    Determination of the copper contents in the solutions

    The concentration of copper in the solutions before and after the equilibrium was determined by flame atomic absorption spectrometry (FAAS), using a Perkin-Elmer Analyst 300 atomic absorption spectrometer equipped with deuterium arc background corrector, an air-acetylene burner and controlled by IBM personal computer. The hollow cathode lamp was operated at 15 mA and the analytical wavelength was set at 324.8 nm. Glassware and polypropylene flasks used were overnight immersed in 10% v/v HNO3 and rinsed several times with DDW.

    Batch biosorption studies

    All batch biosorption experiments were performed using 100 mg of dried biomass added to 25 mL of copper solution in 500 mL polypropylene flasks. The flasks were placed on a rotating shaker (Tecnal, Brazil) with constant shaking. At the end of the experiment, the flasks were removed from the shaker and the solutions were separated from the biomass by filtration through filter paper (Whatman no 40, ashless).

    Preliminary tests were carried out in order to determine the equilibrium time. They were performed at 298 K using an initial copper concentration of 18.4 mg/mL (initial pH = 5.0), and 150 rpm. The sorption time was varied from 3 to 120 min and the equilibrium on copper uptake was attained after 20 min. The optimum speed of agitation was determined from experiments carried out at 298 K for 120 min, using an initial copper concentration of 18.4 mg/mL (pH = 5.0). The shaking rate was varied from 0 (without agitation) to 250 rpm. Due to the protonation properties of the carboxyl groups present at the cell walls of the seaweed, pH can affect the biosorption process. So, the effect of initial pH on copper ions uptake was investigated within 2.0 - 5.0. The experiments were performed in similar conditions, using the optimum value of shaking rate. The initial pH was adjusted using 0.10 mol/L HCl solution. No further adjustment on pH was done during the experiment.

    The equilibrium isotherms were determined at 298, 313 and 3238 K under optimized conditions, changing the initial copper concentration into the range of 18.4 to 1000 mg/mL and using an equilibrium time equal to 120 min. For the kinetic study, the initial copper concentration was 18.4 mg/mL, the sorption time varied between 3 and 120 min, and the studied temperatures were 298, 313 and 328 K. The remaining parameters were kept under optimized conditions.

    All biosorption experiments were done in duplicate. Error bars were not reported, because all the replicate values from the experiments are presented in the figures.

    Metal uptake

    The copper uptake was calculated by the simple concentration difference method (Volesky and Holan, 1995). The initial concentration CO (mg/mL) and metal concentrations at any time, Ct, (mg/mL) respectively, were determined and the metal uptake q (mg metal adsorbed/g adsorbent) was calculated from the mass balance as follows:


    where V is the volume of the solution in mL and w is the mass of the sorbent in g. Preliminary experiments had shown that copper adsorption losses to the flask walls and to the filter paper were negligible.

    Results and Discussion

    The influence of several operational parameters such as shaking rate, initial pH, temperature and copper concentration on biosorption of copper ions by Sargassum sp. was investigated. The results were expressed as the amount of copper ions adsorbed on dried algae at any time (q, mg/g) or at equilibrium (qe) and the concentration of copper ions that remain in solution at the equilibrium (Ce, mg/mL). The fraction of copper ions adsorbed (Xa, %) was also reported.


    Influence of shaking rate

    The uptake of copper ions by Sargassum sp. was evaluated varying the agitation rate from 0 (without agitation) to 250 rpm, aiming at determining the optimal shaking rate. Figure 1 shows that copper uptake increases with the increase in shaking rate (q = 2.7 mg/g in absence of agitation and 3.8 mg/g at 50 rpm), and that the adsorption capacity of algae remained constant at 4.3 mg/g for agitation rates greater than 100 rpm. The results show significant difference using t test (P = 0.05), presenting standard deviation equal to 0.1.These results can be associated to the fact that the increase of the agitation speed, improves the diffusion of copper ions towards the surface of the seaweed. This also indicates that a shaking rate in the range 100-250 rpm is sufficient to assure that all the cell wall binding sites are made readily available for copper uptake. Then, the effect of external film diffusion on biosorption rate can be assumed not significant, being ignored in any engineering analysis. For the sake of convenience 150 rpm was chosen for further experiments.

    Influence of initial pH

    It is well known that the pH of the medium affects the solubility of metal ions and the concentration of the counter ions on the functional groups of the biomass cell walls, so pH is an important parameter on biosorption of metal ions from aqueous solutions.

    Sargassum sp. presents a high content of ionizable groups (carboxyl groups from mannuronic and guluronic acids) on the cell wall polysaccharides, which makes it, at least in theory, very liable to the influence of the pH. As shown in Figure 2, the uptake of free ionic copper depends on pH, increasing with the increase in pH from 2.0 to 3.0 and then reaching a plateau in the range 4.0 - 5.0. Similar results were reported on literature for different Cu(II)-biomass systems (Sag et al. 1998; Zhou et al. 1998; Matheickal and Yu, 1999). At pH values lower than 3.0, copper (II) removal was inhibited, possibly as a result of the competition between hydrogen and copper ions on the sorption sites, with an apparent preponderance of hydrogen ions, which restricts the approach of metal cations as in consequence of the repulsive force. As the pH increased, the ligands such as carboxylate groups in Sargassum sp. would be exposed, increasing the negative charge density on the biomass surface, increasing the attraction of metallic ions with positive charge and allowing the biosorption onto the cell surface.

    The experiments were carried out with initial pH values lower than 6.0 since insoluble copper hydroxide starts precipitating from the solutions at higher pH values, making true sorption studies impossible.

    Effect of temperature on copper biosorption equilibrium

    Table 1 compares the equilibrium uptakes and the fraction of copper adsorbed obtained at different temperatures and initial copper concentrations. For initial copper concentrations in the range 18-500 mg/mL, the influence of temperature on Cu(II) uptake was not important (t test; P = 0.05). Whereas for initial copper concentrations greater than 500 mg/mL, the capacity of copper adsorption at equilibrium slightly increases with the increasing temperature in the range 298-328 K. (t test; P = 0.05).

    Regarding the influence of the initial concentration of copper ions, the equilibrium sorption capacity of the biomass increased with the increase in the initial copper ions concentration up to 1000 mg/mL while the fraction of copper adsorbed presented the opposite trend. The difference between bulk and surface metal ions concentration is one of the driving-forces to overcome the resistances to adsorption process. In the absence of mass-transfer resistances (as observed in our experiments), surface and bulk concentrations are identical, so the increase in initial concentration of copper ions will enhance the adsorption process, as noticed in Table 1. As can be seen in Figure 3, negligible increase in the values of qe are observed for equilibrium concentrations greater than 400 mg/mL, suggesting that above this level of solute, solid-liquid equilibrium is probably limited by the diffusion of the copper ions towards the negative charged metal-sequestering sites on the surface of the seaweed; in fact, the algae surface does not display free sites for metal uptake, being saturated.

    Equilibrium modeling

    Modeling the equilibrium data is fundamental for the industrial application of biosorption since it gives information for comparison among different biomaterials under different operational conditions, designing and optimizing operating procedures (Benguella and Benaissa, 2002). To examine the relationship between sorbed (qe) and aqueous concentrations (Ce) at equilibrium, sorption isotherm models are widely employed for fitting the data, of which the Langmuir and Freundlich equations are the most widely used. To get the equilibrium data, initial copper concentrations were varied while the biomass weight in each sample was kept constant. Two hours of equilibrium periods for sorption experiments were used to ensure equilibrium conditions. This time was chosen considering the results of kinetics of copper removal by Sargassum sp., which will be further presented.

    The Langmuir model assumes the form:


    where Q0 (mg/g) is the maximum amount of metal ion per unit mass of algae to form a complete monolayer on the surface and KL is the equilibrium adsorption constant which is related to the affinity of the binding sites. Q0 represents a practical limiting adsorption capacity when the surface is fully covered with metal ions and allows the comparison of adsorption performance, particularly in the cases where the sorbent did not reach its full saturation in experiments (Aksu, 2001). The Langmuir parameters can be determined from a linearized form of equation (4), represented by:


    Therefore, a plot of (Ce/qe) versus Ce, gives a straight line of slope 1/Q0 and intercept 1/(Q0KL).

    On the other hand, Freundlich equation is given by:


    where KF and n are the Freundlich constants characteristics of the system, indicating the adsorption capacity and the adsorption intensity, respectively. To simplify the derivation of KF and 1/n, equation (5) can be linearized in logarithmic form (6).


    The corresponding constants and the coefficients of correlation (R) associated at each linearized model of Langmuir (4) and Freundlich (6) adsorption isotherms, obtained at 298, 313 and 328 K, are presented in Table 2. The results indicate that Langmuir isotherm best fits the experimental data over the experimental range studied, since it presents the greater coefficients of correlation in all temperatures. Experimental data and the predicted profiles are in agreement with all range of Ce and temperature evaluated (Figure 3).

    The maximum value for the limiting capacity of Sargassum sp. for copper(II) (Q0 = 94mg/g) was obtained at 328 K, and it slightly decreases with the decrease in biosorption temperature. On the other hand, KL values are not statistically different (t test; P = 0.05) for the studied temperatures, confirming that in the range 298 - 328 K an increase in temperature does not affect significantly biosorption of copper on Sargassum sp.

    A comparison with Cu(II) uptake capacities (Q0) of Sargassum sp. and those other biosorbents reported in the literature is given in Table 3. Although a direct comparison with Sargassum sp. and other reported biosorbents presents different values due to the varying experimental conditions employed, in general, the Cu(II) uptake capacity of Sargassum sp. is higher than the majority of the biosorbents related in the literature.

    Biosorption kinetics of copper ions

    As can be seen in Figure 4, for an initial concentration of copper ions equal to 18.4 mg/mL, regardless the temperature studied, the rate of removal of copper ions is extremely rapid in the first 10min, but, next, it decreases significantly and approaches zero (equilibrium). The fast biosorption kinetics observed is typical for biosorption of metals involving no energy-mediated reactions, where metal removal from solution is due to purely physico-chemical interactions between biomass and metal solution (Aksu, 2001).

    The shape of q versus time curves are similar to those reported by different authors concerning other Cu(II)-biomass systems (Chang et al. 1997; Zhou et al. 1998; Kapoor et al. 1999; Mehta and Gaur, 2001; Nuhoglu et al. 2002; Sag and Aktay, 2002). It can also be observed for this initial concentration (18.4 mg/mL), that the temperature does not affect the equilibrium uptake although it slightly influences the adsorption rate.

    Kinetic modeling

    Two different kinetic models were used to adjust the experimental data of Cu(II) biosorption on Sargassum sp. The pseudo first-order Lagergren model is generally expressed as:


    where qe(mg/g) and q are the amounts of adsorbed metal ions on the biosorbent at the equilibrium and at any time t, respectively; and k1,ads is the Lagergren rate constant of the first-order biosorption. Integrating (7) between the limits, t =0 to t =t and q = 0 to q = qe, it becomes:


    Linear plots of log(qe-q) versus t indicate the applicability of this kinetic model. However, to adjust equation (8) to the experimental data, the value of qe (equilibrium sorption capacity) must be pre-estimated by extrapolating the experimental data to t = ¥.

    The pseudo-second order model is based on the assumption that biosorption follows a second order mechanism. So, the rate of occupation of adsorption sites is proportional to the square of the number of unoccupied sites:


    where k2,ads is the rate constant of second order biosorption (g/mg.min). Integrating (9) for the boundary conditions t = 0 to t = t and q = 0 to q = qe, and then linearizing it determines an equation (10) such as:


    qe and k2,ads can be calculated from the slope and the intercept of the plot t/q versus t. It is important to notice that it is not necessary to estimate the experimental value of qe for the application of such a model.

    The Lagergren first-order rate constant (k1,ads) and qe determined from the model indicated that this model failed to estimate qe since the experimental values of qe differed from those estimated (Table 4). By plotting t/q against t, a straight line could be obtained for all the studied temperatures, allowing the determination of the second-order rate constant (k2,ads) and qe values. The coefficients of correlation for the second order kinetic model were equal to 1 for all temperatures and the estimated values of qe also agreed with the experimental ones. Both facts suggest that the sorption of copper(II) ions follows the second-order kinetic model, which relies on the assumption that biosorption may be the rate-limiting step.

    The second-order rate constant is expressed as a function of temperature by an Arrhenius-type correlation:


    where k0 is the temperature independent factor (g/mg.min), E is the activation energy of sorption (kcal/mol), Rg is the gas constant (1.987 cal/mol.K) and T is the sorption temperature (K). The corresponding linear plot of lnk2,ads as a function of 103/T, allows to calculate the activation energy from the slope of this plot. In the present work, the activation energy for the biosorption of copper ions on Sargassum sp. was found as 5.2 kcal/mol.

    Concluding Remarks

    The obtained results also showed that initial pH, temperature, shaking rate and initial metal ion concentration affected the uptake capacity of the biosorbent.

    The Langmuir adsorption model described well the biosorption equilibrium of copper (II) ions on Sargassum sp. in the studied conditions. The temperature did not influence this equilibrium since KL is practically constant in the range of the temperature studied. Additionally, the monolayer capacity slightly decreases from 328 to 298 K. Biosorption of copper(II) ions onto biomass followed a second-order adsorption kinetics and the activation energy of biosorption was evaluated as 5.2 kcal/mol.

    The results confirmed that Sargassum sp. is a potential biomaterial to remove copper ions with a high biosorption capacity: 1.48 mmol/g. This value can be compared with those observed for other marine micro algae and it is considerably higher than the values obtained with the majority of the biosorbents.


    The authors thank Eng. Claudio Costa Vera Cruz, Institute of Chemistry - UERJ, for his aid in FAAS analysis. One of the authors (A. C. A. C.) would like to thank UERJ, through Prociência Program, and CNPq, for financial support to conduct this work.


    AKSU, Z. Equilibrium and kinetic modeling of cadmium(II) biosorption by C. vulgaris in a batch system: effect of temperature. Separation and Purification Technology, 2001, vol. 21, p. 285-294.

    BENGUELLA, B. and BENAISSA, H. Cadmium removal from aqueous solution by chitin: kinetic and equilibrium studies. Water Research, 2002, vol. 36, no. 10, p. 2463-2474.

    BUNKE, G.; GOTZ, P. and BUCHKOLZ, R. Metal removal by biomass: physico-chemical elimination methods. In: WINTER, J. ed. Biotechnology, Weinheim, Wiley-VCH, 1999, vol. 11a., p. 431-452.

    CHANG, J.S.; LAW, R. and CHANG, C.C. Biosorption of lead, copper and cadmium by biomass of Pseudomonas aeruginosa PU21. Water Research, 1997, vol. 31, no. 7, p. 1651-1658.

    COSTA, A.C.A.; TAVARES, A.P.M. and FRANÇA, F.P. The release of light metals from a brown seaweed (Sargassum sp.) during zinc biosorption in a continuous system. Electronic Journal of Biotechnology [online]. 15 December 2001, vol. 4, no. 3. [cited date 16 December 2001]. Available from: http://www.ejbiotechnology.info/content/vol4/issue3/full/2/index.html ISSN 0717-3458.

    ECCLES, H. Treatment of metal-contaminated wastes: why select a biological process? Trends in Biotechnology, 1999, vol. 17, no. 12, p. 462-465.

    FOUREST, E. and ROUX, J.C. Heavy metal biosorption by fungal mycelial by products: Mechanism and influence of pH. Applied Microbiology Biotechnology, June 1992, vol. 37, no. 3, p. 399-403.

    GALLAGHER, M.J. and MOO-YOUNG, H. The use of papermill wastes as a sorbent material for heavy metals in aqueous solution. In: Proceedings of International Conference on Solid Waste Technology Management 14th IC.1/1-IC.1/8., 12th - 14th November, 1998, Philadelphia, USA, ISSN:1091-8043.

    KAPOOR, A.; VIRARAGHAVAN, T. and CULLIMORE, D.R. Removal of heavy metals using the fungus Aspergillus niger. Bioresource Technology, 1999, vol. 70, no. 1, p. 95-104.

    LEUNG, W.C.; WONG, M.F.; CHUA, H.; LO, W.; YU, P.H.F. and LEUNG, C.K. Removal and recovery of heavy metals by bacteria isolated from activated sludge treating industrial effluents and municipal wastewaters. Water Science and Technology, 2000, vol. 41, part 12, p. 233-240.

    MATHEICKAL, J.T. and YU, Q. Biosorption of lead (II) and copper(II) from aqueous solution by pre-treated biomass of Australian marine algae. Bioresource Technology, 1999, vol. 69, no. 3, p. 223-229.

    MEHTA, S.K. and GAUR, J.P. Characterization and optimization of Ni and Cu sorption from aqueous solution by Chlorella vulgaris. Ecological Engineering, 2001, vol. 18, p. 1-13.

    MODAK, J.M. and NATARAJAN, K.A., Biosorption of metals using nonliving biomass - A review. Mineral Metallurgical Process, 1995, vol. 12,no. 4, p. 189-196.

    MURALEEDHARAN, T.R.; IYENGAR, L. and VENKOBACHAR, C. Screening of tropical wood-rotting mushrooms for copper biosorption. Applied Environmental Microbiology, 1995, vol. 61, no. 9, p. 3507-3508.

    NUHOGLU, Y.; MALKOC, E.; GÜRSES, A. and CANPOLAT, N. The removal of Cu(II) from aqueous solution by Ulothrix zonata. Bioresource Technology, 2002, vol. 85, no. 3, p. 331-333.

    SAG, Y.; KAYA, A. and KUTSAL, T. The simultaneous biosorption of Cd(II) and Zn(II) on Rhizopus arrhizus: application of the adsorption models. Hydrometallurgy, 1998, vol. 50, no. 3, p. 297-314.

    SAG, Y. and AKTAY, Y. Kinetics studies of Cr(VI) and Cu(II) ions by chitin, chitosan and Rhizopus arrhizus. Biochemical Engineering Journal, 2002, vol. 12, p. 143-153.

    SAY, R.; DENIZLI, A. and ARICA, M.Y. Biosorption of cadmium(II) and copper(II) with the filamentous fungus Phanerochaete chrysosporium. Bioresource Technology, 2001, vol. 76, no. 1, p. 67-70.

    SCHIEWER, S. and VOLESKY, B. Modeling of the proton-metal ion exchange in biosorption. Environmental Science & Technology, 1995, vol. 29, no. 12, p. 3049-3058.

    TIANWEI, T. and PENG, C. Biosorption of heavy metal ion with penicillin biomass. Progress Biotechnology, 2000, vol. 16, p. 169-173.

    VEGLIÒ, F. and BEOLCHINI, F. Removal of heavy metals by biosorption: A review. Hydrometallurgy, 1997, vol. 44, no. 3, p. 301-316.

    VOLESKY, B. Biosorption of heavy metals. Boca Raton, CRC Press, 1990, 408 p. ISBN 0849349176.

    VOLESKY, B. and HOLAN, Z.R. Biosorption of heavy metals. Biotechnology Progress, 1995, vol. 11, no. 3, p. 235-250.

    ZHOU, J.L.; HUANG, P.L. and LIN, R.G. Sorption and desorption of Cu and Cd by macroalgae and microalgae. Environmental Pollution, 1998, vol. 101, no. 1, p. 67-75.

    Note: Electronic Journal of Biotechnology is not responsible if on-line references cited on manuscripts are not available any more after the date of publication.

    Supported by UNESCO / MIRCEN network 
    Home | Mail to Editor | Search | Archive