naa a22 4500 510820808 CHVBK 20180411083530.0 cr unu---uuuuu 180411e20130801xx s 000 0 eng 10.1007/s11814-013-0064-1 doi (NATIONALLICENCE)springer-10.1007/s11814-013-0064-1 Least squares estimation of kinetic parameters in batch adsorption of phenol with confidence interval analysis [Elektronische Daten] [Yan Shao, Huiping Zhang, Ying Yan] Adsorption kinetics of phenol on granular coconut shell activated carbon and granular coal based activated carbon was investigated by the model of homogeneous surface diffusion plus external film mass transfer with the stirred batch adsorber. The model was solved numerically by finite element and the parameter estimation was performed with the nonlinear least squares method. Through the confidence interval analysis and evaluation of the error sum of squares, higher precision of the parameter estimates can be obtained by combining more decay curves; the decay curves with the different initial solution concentrations and adsorbent dosages can be well represented with identical film mass transfer coefficient and surface diffusivity, and the effect of surface adsorption coverage on the surface diffusivity is negligible in the adsorption systems. The values of the film mass transfer coefficient and surface diffusivity are in the order of magnitude 10−5 and 10−12, respectively. Korean Institute of Chemical Engineers, Seoul, Korea, 2013 Batch Adsorption nationallicence Phenol nationallicence Confidence Interval nationallicence Surface Diffusion nationallicence Film Mass Transfer nationallicence Shao Yan School of Chemistry and Chemical Engineering, South China University of Technology, 510641, Guangzhou, P. R. China aut Zhang Huiping School of Chemistry and Chemical Engineering, South China University of Technology, 510641, Guangzhou, P. R. China aut Yan Ying School of Chemistry and Chemical Engineering, South China University of Technology, 510641, Guangzhou, P. R. China aut Korean Journal of Chemical Engineering Springer US; http://www.springer-ny.com 30/8(2013-08-01), 1544-1551 0256-1115 30:8<1544 2013 30 11814 https://doi.org/10.1007/s11814-013-0064-1 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11814-013-0064-1 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Shao Yan School of Chemistry and Chemical Engineering, South China University of Technology, 510641, Guangzhou, P. R. China aut NATIONALLICENCE 700 1- Zhang Huiping School of Chemistry and Chemical Engineering, South China University of Technology, 510641, Guangzhou, P. R. China aut NATIONALLICENCE 700 1- Yan Ying School of Chemistry and Chemical Engineering, South China University of Technology, 510641, Guangzhou, P. R. China aut NATIONALLICENCE 773 0- Korean Journal of Chemical Engineering Springer US; http://www.springer-ny.com 30/8(2013-08-01), 1544-1551 0256-1115 30:8<1544 2013 30 11814 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer