TY  - JOUR
Y1  - 2010///
SN  - 19342659
JF  - Chemical Product and Process Modeling
A1  - Sudesh, S.
A1  - Meenakshi, M.
A1  - Sheeja, R.Y.
A1  - Murugesan, T.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-77249108319&doi=10.2202%2f1934-2659.1357&partnerID=40&md5=452e66a25c0693fe4e37fd34df9f375c
VL  - 5
AV  - none
N2  - In the present work, crab shell was used as the biosorbent to remove copper from aqueous solution. Batch experiments were performed at different initial copper concentration of copper solutions (1-40 g/l), initial pH (2-9), temperature (20-400°C), and biosorbent dosages (2-10 g/l). The maximum removal of copper using crab shell occurred at a pH of 3 and at a temperature of 400°C using an optimum biosorbent dosage of 5 g/l. A mathematical model was proposed to identify the effects of the individual interactions of these variables on the biosorption of copper. The results have been modeled using response surface methodology using a Box-Behnken design. The response surface method was developed using three levels (-1, 0, +1) with the above mentioned four factors. The second order quadratic regression model fitted the experimental data with Prob > F to be < 0.0001. The experimental values were found to be in good agreement with the predicted values, with a satisfactory correlation coefficient of R2= 0.9999. © 2010 The Berkeley Electronic Press. All rights reserved.
N1  - cited By 1
IS  - 1
ID  - scholars1314
TI  - Optimization studies on biosorption of copper (II) by crab shell using response surface methodology(RSM)
KW  - Aqueous solutions; Batch experiments; Biosorbents; Box-Behnken design; Copper concentration; Correlation coefficient; Crab shell; Crab shells; Experimental data; Experimental values; Initial pH; Optimization studies; Quadratic regression; Response surface method; Response Surface Methodology; Second orders
KW  -  Biosorption; Mathematical models; Optimization; Regression analysis; Shells (structures); Surface properties
KW  -  Copper
ER  -