Copper removal by algal biomass: biosorbents characterization and equilibrium modelling

Vilar, V. J. P.; Botelho, C. M. S.; Pinheiro, J. P.; Domingos, R. F.; Boaventura, R. A. R.

http://hdl.handle.net/10400.1/3211

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Abstract(s)

The general principles of Cu(II) binding to algal waste fromagar extraction, composite material and algae Gelidium, and different modelling approaches, are discussed. FTIR analyses provided a detailed description of the possible binding groups present in the biosorbents, as carboxylic groups (d-glucuronic and pyruvic acids), hydroxyl groups (cellulose, agar and floridean starch) and sulfonate groups (sulphated galactans). Potentiometric acid–base titrations showed a heterogeneous distribution of two major binding groups, carboxyl and hydroxyl, following the quasi-Gaussian affinity constant distribution suggested by Sips, which permitted to estimate the maximum amount of acid functional groups (0.36, 0.25 and 0.1mmolg−1) and proton binding parameters (pKH= 5.0, 5.3 and 4.4; mH = 0.43, 0.37, 0.33), respectively for algae Gelidium, algal waste and composite material. A non-ideal, semi-empirical, thermodynamically consistent (NICCA) isotherm fitted better the experimental ion binding data for different pH values and copper concentrations, considering only the acid functional groups, than the discrete model. Values of pKM (3.2; 3.6 and 3.3), nM (0.98, 0.91, 1.0) and p (0.67, 0.53 and 0.43) were obtained, respectively for algae Gelidium, algalwaste and composite material. NICCA model reflects the complex macromolecular systems that take part in biosorption considering the heterogeneity of the biosorbent, the competition between protons and metals ions to the binding sites and the stoichiometry for different ions.

Keywords

Biosorption Copper(II) Gelidium Agar extraction waste Equilibrium modelling

URI

http://hdl.handle.net/10400.1/3211

Citation

Vilar, V.bJ.bP.; Botelho, C.bM.bS.; Pinheiro, J.bP.bS.; Domingos, R.bF.; Boaventura, R.bA.bR.bCopper removal by algal biomass: Biosorbents characterization and equilibrium modelling, Journal of Hazardous Materials, 163, 2-3, 1113-11, 2009.