Synthesized bioadsorbent from fish scale for chromium (III) removal.

Presence of heavy metal in industrial wastewater is hazardous to the surrounding environment. Biosorption of heavy metal is an effective technology for the treatment of industrial wastewater. This research work has been carried out on removal of chromium (III) metal ions by employing waste fish scales as bioadsorbent. A batch adsorption process was carried out with different adsorbent dosage, solution pH and contact time. The results show the highest 99.7518 % chromium (III) metal ions at bioadsorbent dosage 0.8 g, pH of the solution 5 and contact time 90 min, initial concentration 150 mg/l chromium ion. The adsorption isotherms data fitted well with the Langmuir isotherm model with R2 = 0.9998, qmax = 18.3486 mg/g, and RL = 0.00007325. As well as pseudo-first and second kinetics model was also analyzed for the description of adsorption and found to be well fitted (R2 = 1) for adsorption kinetics. The surface properties activated fish scales and chromium loaded fish scale were investigated by scanning electron microscopy, X-ray spectroscopy, Fourier-transform infrared spectroscopy, and thermal analysis and agree with outcomes.

Sorption of phenol from synthetic aqueous solution by activated saw dust: Optimizing parameters with response surface methodology.

Organic pollutants have an adverse effect on the neighboring environment. Industrial activates are the major sources of different organic pollutants. These primary pollutants react with surrounding and forms secondary pollutant, which persists for a long time. The present investigation has been carried out on the surface of activated sawdust for phenol eliminations. The process parameters initial concentration, contact time, adsorbent dose and pH were optimized by the response surface methodology (RSM). The numerical optimization of sawdust (SD), initial concentration 10 mg/l, contact time 1.5 h, adsorbent dose 4 g and pH 2, the optimum response result was 78.3% adsorption. Analysis of variance (ANOVA) was used to judge the adequacy of the central composite design and quadratic model found to be suitable. The coefficient of determination values was found to be maximum Adj R2 0.7223, and Pre R2 0.5739 and significant regression at 95% confidence level values.