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Waste biomass of Nostoc linckia as adsorbent of crystal violet dye: Optimization based on statistical model

Mona, Sharma, Kaushik, Anubha, Kaushik, C.P.
International biodeterioration & biodegradation 2011 v.65 no.3 pp. 513-521
Fourier transform infrared spectroscopy, Nostoc linckia, adsorbents, adsorption, analysis of variance, aqueous solutions, biomass, biosorbents, biosorption, calcium alginate, decolorization, fermenters, gentian violet, hydrogen, pH, regression analysis, response surface methodology, statistical models, temperature
The potential of spent biomass of a hydrogen producing cyanobacterial strain Nostoc linckia from a hydrogen fermentor was studied for decolorization of a tri-phenylmethane dye, crystal violet. The waste cyanobacterial biomass immobilized in calcium alginate was used as a biosorbent and the process variables were optimized for maximum dye removal using the statistical response surface methodology (RSM). Batch mode experiments were performed to determine the kinetic behavior of the dye in aqueous solution allowing the computation of kinetic parameters. Influence of interacting parameters like temperature (25–35 °C), pH (4–8), initial dye concentration (100–200 mg/L) and cyanobacterial dose (0.2–0.4 g) on dye removal were examined using central composite design (CCD) which included two additional levels for each parameter. Second-order polynomial regression model, was applied which was statistically validated using analysis of variance. Ability of the immobilized biomass to decolorize the dye was maximum (72%) at pH 8.0, temperature 35 °C, 200 mg/L initial dye concentration and 0.2 g cyanobacterial dose. Adsorption of the dye on cell surface was further confirmed by scanning electron micrographs of the biomass before and after dye loading. FT-IR studies revealed that decolorization was due to biosorption mediated mainly by functional groups like hydroxyl, amide, carboxylate, methyl and methylene groups present on the cell surface.