investigation of the effect of γ-alumina nanoparticles on the elimination of cationic dyes from industrial effluents

The present study investigates the removal of basic brown 1 (bb1) by surfactant-modified γ-alumina nanoparticles. the use of alumina nanoparticles with an anionic surfactant (sodium dodecyl sulfate (sds)) as a new and efficient adsorbent has been successfully performed to remove cationic dyes from aqueous solutions of textile industrial effluents ]1[. the sem image, xrd pattern and ft-ir spectra was examined and the analyzes showed that the surface modification of the nanoparticles was done correctly. the effect of different parameters such as contact time, initial concentration of dye, amount of adsorbent used, ph of solution, temperature, the interference of similar dyes and ions on the removal of bb1 were also investigated. the optimal conditions for dye removal were examined by the response surface methodology (rsm) using a four-factor four-level design. the results obtained showed that the contact time of 15 minute, ph of 6, initial concentration of 27.5 mg/l bb1, and adsorbent dose of 0.030g bb1 resulted in the most significant efficiency (93.12%) of bb1 removal. a spectrophotometric method was used to determine dye concentration. it was also found that the sds-coated γ-alumina has shown higher adsorption efficiency for bb1 opposed to unmodified γ-alumina nanoparticles ]2[.