Journal
CHEMICAL ENGINEERING JOURNAL
Volume 165, Issue 1, Pages 151-160Publisher
ELSEVIER SCIENCE SA
DOI: 10.1016/j.cej.2010.09.010
Keywords
Experimental design; Response surface modeling; Process optimization; Rhodamine dye; Magnetic adsorbent; Nanocomposite
Categories
Ask authors/readers for more resources
A magnetic nanocomposite was developed characterized and studied for the removal of Rhodamine B dye from aqueous solution A four-factor central composite design (CCD) combined with response surface modeling (RSM) and optimization was employed for maximizing the dye removal by the developed nanocomposite based on 30 different experimental data obtained in a batch study Four independent variables viz temperature (10-50 degrees C) initial pH of solution (2-10) initial dye concentration (140-220 mg/l) and adsorbent dose (1-5 g/l) were transformed to coded values and quadratic model was built to predict the responses Analysis of variance (ANOVA) and t-test statistics were used to test the significance of the independent variables and their interactions Adequacy of the model was tested by the correlation between experimental and predicted response and enumeration of prediction errors Optimization of the variables for maximum adsorption of dye by the magnetic nanocomposite was performed using the quadratic model The predicted maximum adsorption efficiency (47 44 mg/g) under the optimum conditions of the process variables (temperature 50 degrees C pH 2 initial dye concentration 220 mg/I and adsorbent dose 1 g/l) was very close to the experimental value (46 94 mg/g) determined in batch experiment The Langmuir sorption capacity of the magnetic nanocomposite and its precursor carbon were found to be 338 and 4 50 mg/g respectively (at 50 degrees C pH 2 1 g/l dose dye concentration 140-220 mg/l) suggesting for the superiority of the developed magnetic adsorbent over its precursor carbon and for its potential towards removal of the dyes from water/wastewater (C) 2010 Elsevier BV All rights reserved
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available