Graphene-based ultrafast nanofiltration membrane under cross-flow operation: Effect of high-flux and filtered solute on membrane performance

Claudio Adrian Ruiz-Torres, Junhyeok Kang, Kyoung Min Kang, Kyeong Min Cho, Yoon Tae Nam, Chan Byon, Yoon Young Chang, Dae Woo Kim, Hee Tae Jung

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

Two-dimensional materials-based membranes continue attracting research interest due to the ultrafast permeance and effective molecular sieving. However, measuring the nanofiltration performance of an ultrafast membrane under long-term filtration remains elusive, particularly when considering the effects of concentration polarization and cake formation on the flux decline and rejection rate. To address this question, we designed an ultrafast graphene oxide (GO) membrane using small-flake graphene oxide (SFGO) on the lateral scale of ∼100 nm, which was prepared using sonication. The SFGO membrane exhibited ultrafast permeance of 720–5410 L m−2 h−1 bar−1 for several solvents (i.e., acetone, methanol, water, ethanol, and isopropyl alcohol), which could be attributed to the reduced diffusion length and increased effective membrane surface area. It was observed a drastic flux and rejection rate decline in both water and isopropyl alcohol in the filtration of several dye solutions using dead-end and cross-flow systems. This could be attributed to the concentration polarization and cake formation that occurred during the rapid accumulation of solute on the membrane surface due to the ultrafast solvent permeance.

Original languageEnglish
Pages (from-to)641-649
Number of pages9
JournalCarbon
Volume185
DOIs
Publication statusPublished - 2021 Nov 15

Bibliographical note

Funding Information:
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government ( MSIT ) (NRF- 2020R1C1C1003289 ), and by the Basic Science research program through the National Research Foundation of Korea funded by the Ministry of Education (NRF- 2019R1A6A1A1105566012 ). This study was supported from Korea Environmental Industry and Technology Institute ( 202002470002 ), Korea. This study was partially supported by Standard Graphene.

Publisher Copyright:
© 2021 Elsevier Ltd

All Science Journal Classification (ASJC) codes

  • Chemistry(all)
  • Materials Science(all)

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