Biography
Prof. Jiwei Hu
Prof. Jiwei Hu
Guizhou Normal University, China
Title: Decontamination of Methylene Blue from Simulated Wastewater by the Ordered Mesoporous Reduced Graphene Oxide Loaded Bimetallic Fe/Co Nanoparticles (rGO/Fe/Co): Artificial Intelligence Modeling and Opt
Abstract: 

Decontamination of dye wastewater by nanomaterials has increasingly attracted a great attention. In this study, the ordered mesoporous reduced graphene oxide loaded bimetallic Fe/Co nanoparticles (rGO/Fe/Co) were prepared in this work by the co-precipitation method to decontaminate methylene blue (MB) from simulated wastewater. The obtained product was systematically characterized with X-ray diffraction, scanning electron microscopy, Raman spectroscopy, energy dispersive spectroscopy, N2-sorption, and X-ray photoelectron spectroscopy. It was found that the material possessed a surface area of 108.445 m^2/g and a narrow pore size distribution with a center of 3.94 nm. The effect of initial pH (2-6), temperature (20-40 ℃), contact time (3-15 min), initial concentration (200-600 mg/L) on the extent of decontamination by this material was investigated and modeled with artificial intelligence (AI). AI has become an important driving force for a new round of scientific and technological revolution and industrial change, which can achieve the overall improvement of social productivity. The optimum conditions were predicted and the maximum decontamination efficiency obtained by response surface methodology and AI, i.e. artificial neural network-particle swarm (ANN-PSO), artificial neural network-genetic algorithm (ANN-GA). Among the three models developed, the ANN-PSO model has the highest R 2 value and the lowest MSE value, thus this model has the best performance. The experimental equilibrium data were analyzed with Langmuir, Freundlich, Tempkin and D-R isothermal models. It was exhibited that the data were well presented by Langmuir model with a maximum adsorption capacity of the model is 909.10 mg/g at 298 K. The kinetic study demonstrated that the decontamination processes could be well described by the pseudo-second-order model. In addition, thermodynamic parameters were calculated, which include Gibbs free energy change (ΔG 0 ), entropy change (ΔS 0 ), and enthalpy change (ΔH 0 ). Overall, this material could be potentially used as a low cost and fast decontaminant to treat organic contaminants in wastewater or other pollutants.

Keywords Metheylene Blue, Reduced graphene oxide composites, Ordered mesoporous bimetallic Fe/Co nanoparticles, Artificial intelligence modeling and optimization, Thermodynamics and kinetics

Biography: 

Education

1999 Ph.D., Applied chemistry, University of Jyv"askyl"a, Finland

1996 Ph.Lic., Environmental chemistry, Stockholm University,
Sweden
1994 M.Sc., Organic chemistry, University of Jyv"askyl"a, Finland
1984 B.Sc., Chemical engineering, Zhejiang Institute of Technology,
China

Research 

1. Synthesis of environmental functional nanomaterials;

2. Removal of organic and inorganic pollutants in wastewater;
3. Application of artificial intelligence in experimental design for water
treatment;
4. Molecular modeling and quantitative structure-property relationships.