石墨烯
材料科学
化学工程
曲面(拓扑)
分离(统计)
滤波器(信号处理)
纳米技术
乳状液
工艺工程
计算机科学
工程类
数学
几何学
机器学习
计算机视觉
作者
Longxiang Han,Hengchang Bi,Haizhou Huang,Mao Ye,Jing Sun,Litao Sun
标识
DOI:10.1016/j.seppur.2024.126616
摘要
Global daily oil consumption reaches nearly 100 million barrels, a figure which consequently leads to the generation of substantial volumes of oily wastewater during the processes of oil production and transportation. Existing advanced materials exhibit remarkable properties for emulsions stabilized by specific surfactants. However, these materials face limitations in practical application due to the intricate composition of surfactants present in real-world oily wastewater. In this paper, we aim to tackle this issue by presenting a solution that involves the utilization of surface-engineered graphene-based multi-level filter materials (GMFMs). These specially prepared GMFMs incorporate positively charged, negatively charged, and uncharged graphene sheets, which synergistically combine to form a porous structure with unique wettability. This innovative design allows the filter material to exhibit exceptional separation capabilities for complex emulsions. The surface-engineered GMFMs exhibited exceptional efficiency in the separation of mixed surfactant-stabilized emulsions and industrial wastewater. Operating at a high throughput of approximately 5000 L m−2 h−1, these GMFMs achieved an impressive oil removal efficiency of 99.8 % or higher after just one-step separation. The combined efficiency, reusability, and broad applicability of GMFMs facilitate efficient separation of oil-in-water emulsions on a large scale, promising a sustainable solution to the pressing issue of oily wastewater treatment.
科研通智能强力驱动
Strongly Powered by AbleSci AI