Optimization for size separation of graphene oxide sheets by flow/hyperlayer field-flow fractionation

Myoungjae Ko, Hee Jae Choi, Jin Yong Kim, In Ho Kim, Sang Ouk Kim, Myeong Hee Moon

Research output: Contribution to journalArticlepeer-review


Graphene oxide (GO)—a chemical derivative of graphene with numerous oxygen functional groups on its surface—has attracted considerable interest because of its intriguing properties in relation to those of pristine graphene. In addition to the inherent wide lateral size distribution of GO sheets arising from the typical oxidative exfoliation of graphite, control of the lateral size of GO is critical for desired GO-based applications. Herein, flow/hyperlayer field-flow fractionation (flow/hyperlayer FFF) is optimized to separate GO sheets by lateral dimensions. Optimized fractionation is achieved by investigating the influences of carrier solvent, channel thickness, and flow rate conditions on the steric/hyperlayer separation of GO sheets by flow FFF. Due to the strong hydrodynamic lift forces of extremely thin GO sheets, a thick flow FFF channel (w = 350 μm) and a very low field strength are required to retain the GO sheets within the channel. GO sheets with narrow size fractions are successfully collected from two different graphite sources during flow/hyperlayer FFF runs and are examined to verify the size evolution. Considering the average lateral diameter of the GO fraction calculated on the basis of the assumption of a circular disk shape, the retention of the GO sheets is 2.2–5.0 times faster than that of spherical particles of the same diameter. This study demonstrates that through flow/hyperlayer FFF, the size distribution of GO sheets can be determined and narrow size fractions can be collected (which is desirable for GO-based applications), which are commonly influenced by the GO lateral dimension.

Original languageEnglish
Article number463475
JournalJournal of Chromatography A
Publication statusPublished - 2022 Oct 11

Bibliographical note

Funding Information:
This study was supported by grant NRF - 2018R1A2A1A05019794 and in part by grant NRF - 2021R1A2C2003171 from the National Research Foundation (NRF) of Korea.

Publisher Copyright:
© 2022 Elsevier B.V.

All Science Journal Classification (ASJC) codes

  • Analytical Chemistry
  • Biochemistry
  • Organic Chemistry


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