Modeling of Alcohol/Water Separation in Graphene-Based Membranes: The Roles of Interfacial Adsorption and the Effective Transfer Path

Xueling Pan, Zihao Ma, Yao Qin, Yuge Yang, Xin Feng, Xiaoyan Ji, Gongping Liu, Wanqin Jin, Yudan Zhu, Xiaohua Lu

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

With the expansion of the modern chemical industry into the nanoscale, two-dimensional (2D) graphene-based membranes have gained significant attention in alcohol/water mixture separation due to their large lateral dimensions and nanometer thickness. However, the interface-induced effect is poorly explained for a further understanding of the confined transfer mechanism of mixed fluids through 2D nanochannels. In this work, we proposed a theoretical framework considering the interfacial adsorption effect and effective transfer path of mixed fluids to describe the selectivity accurately of different alcohol/water systems (ethanol/water, n-butanol/water, and isopropanol/water) in 2D graphene-based membranes. Our results demonstrated that the low friction resistance of water contributed to the high permeation of water and the high selectivity of water/alcohol. Finally, we also discovered that there was a beneficial permeation for alcohol rather than water within a certain range of slit widths in the graphene channel, and the different slit widths for the graphene and MXene channels would have their specific separation performance for ethanol/water mixture due to the change of wettability and confined degree.

Original languageEnglish
Pages (from-to)6399-6410
Number of pages12
JournalIndustrial and Engineering Chemistry Research
Volume63
Issue number14
DOIs
StatePublished - 10 Apr 2024

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