+Modelling the Sorption of Zn2+ Ions onto Luffa cylindrica

American Journal of Science and Technology

AluyorEmmanuel O.¹  ObohInnocent O.² 

[1] Department of Chemical Engineering, University of Benin, Benin City, Nigeria.;Department of Chemical and Petroleum Engineering, University of Uyo, Uyo, Nigeria.

关键词: Artificial Neural Network;    Kinectic Model;    Luffa cylindrica;    Biosorption;    Waste Water;   

学科分类：工程和技术（综合）

来源: AASCIT

【 摘 要 】

Biosorption experiment for Zn (II) was investigated in this study using the plant material Luffa cylindrica. The applicability of some selected kinetic models was tested. Characterization like the surface area, chemical bonds, bulk density, Pore size distribution, microstructures, composition, morphology and elemental composition were determined. The coefficient of determination (R2) of all the models studied were mostly greater than 0.9. In most cases these coefficients were found to be close to one. This indicates that all the kinetic models adequately describe the experimental data of the biosorption of Zn (II) ions. Kinectic models were developed mathematically, and also, Artificial Neural Network (ANN) was applied to develop a Multiple Input Single Output (MISO) back propagation neural network model which was validated. The RMSE value was found to be 0.5912 and 1.6267 for MISO Zn-1 and MISO Zn-2 respectively. Artificial neural network was able to predict the sorption capacity quite reasonably for the model.

【 授权许可】

Unknown