@article{scholars1314,
           title = {Optimization studies on biosorption of copper (II) by crab shell using response surface methodology(RSM)},
         journal = {Chemical Product and Process Modeling},
             doi = {10.2202/1934-2659.1357},
            year = {2010},
            note = {cited By 1},
          volume = {5},
          number = {1},
          author = {Sudesh, S. and Meenakshi, M. and Sheeja, R. Y. and Murugesan, T.},
            issn = {19342659},
        abstract = {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{\^A}oC), 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{\^A}oC 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. {\^A}{\copyright} 2010 The Berkeley Electronic Press. All rights reserved.},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-77249108319&doi=10.2202\%2f1934-2659.1357&partnerID=40&md5=452e66a25c0693fe4e37fd34df9f375c},
        keywords = {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, Biosorption; Mathematical models; Optimization; Regression analysis; Shells (structures); Surface properties, Copper}
}