Meicheng Liu
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Meicheng Liu has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Guohe Wang
College of Textile and Clothing Engineering, Soochow University, Suzhou 215006, China
1 shared publication - Mu Yao
School of Textiles and Materials, Xi’an Polytechnic University, Xi’an 710048, China
1 shared publication - Runjun Sun
School of Textile Science and Engineering, Xi’an Polytechnic University, Xi’an, China
1 shared publication - Xiang Zhou
Jiangsu College of Engineering and Technology, Nantong 226014, China
1 shared publication - Yangjinghua Yu
College of Textile and Clothing Engineering, Soochow University, Suzhou 215006, China
1 shared publication - Zhihua Chen
Jiangsu College of Engineering and Technology, Nantong 226014, China
1 shared publication
Latest Publications
- Open Access
Self-Supported Reduced Graphene Oxide Membrane and Its Cu2+ Adsorption Capability
Graphene stratiform membrane materials have been recently applied to heavy metal removal in aqueous systems via adsorption due to their high mechanical strength, chemical stability, and other properties. We applied reduced graphene oxide (rGO) alone as an adsorbent to remove heavy metal ions from wastewater. Self-supported rGO membrane was prepared using a green reduction method with sodium hydrosulfite. We used the Raman spectra to observe the structure of the rGO membrane. The morphology of the self-supported membrane was measured by a scanning electron microscope. The Cu2+ adsorption performance was measured in terms of pH, reaction time, metal ion concentration, and temperature. The maximum Cu2+ adsorption capacity of the rGO membrane was found to be 149.25 mg/g. The adsorption process followed a pseudo-second-order kinetic model, and adsorption isotherms were simulated by the Freundlich model.
Open AccessSelf-Supported Reduced Graphene Oxide Membrane and Its Cu2+ Adsorption Capability
Graphene stratiform membrane materials have been recently applied to heavy metal removal in aqueous systems via adsorption due to their high mechanical strength, chemical stability, and other properties. We applied reduced graphene oxide (rGO) alone as an adsorbent to remove heavy metal ions from wastewater. Self-supported rGO membrane was prepared using a green reduction method with sodium hydrosulfite. We used the Raman spectra to observe the structure of the rGO membrane. The morphology of the self-supported membrane was measured by a scanning electron microscope. The Cu2+ adsorption performance was measured in terms of pH, reaction time, metal ion concentration, and temperature. The maximum Cu2+ adsorption capacity of the rGO membrane was found to be 149.25 mg/g. The adsorption process followed a pseudo-second-order kinetic model, and adsorption isotherms were simulated by the Freundlich model.