Microfluidic NF/RO separation: Cell design, performance and application

Yair Kaufman, Roni Kasher, Rob G.H. Lammertink, Viatcheslav Freger

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

Microfluidics have seen a steady expansion of the operation toolbox over the last decade, which includes membrane separations as well. However, the latter are mainly limited to low-pressure operations such as dialysis, MF and UF with only very few reports focusing on high-pressure processes such as NF and RO. In this report a simple high-pressure microfluidic cell suitable for accommodating NF and RO membranes is described and critical design points are discussed. It is shown, both theoretically, using computational fluid dynamics (CFD) and Lévêque correlation, and experimentally, that a smaller height of the feed channel is beneficial for minimizing concentration polarization. Minimization of overall pressure losses, hydraulic and osmotic, indicates an optimal channel height of about 40-50. μm. The NF/RO microcell was tested as a concentrator for solution of a model peptide. The solution was successfully concentrated, however, a significant loss of peptide was observed, presumably, due to adsorption on the membrane or cell walls. This problem will need to be addressed in future studies of NF/RO microcells, however, this work demonstrates the potential and feasibility of implementing RO and NF operations in microfluidic technology.

Original languageEnglish
Pages (from-to)67-73
Number of pages7
JournalJournal of Membrane Science
Volume396
DOIs
StatePublished - 1 Apr 2012

Keywords

  • CFD
  • Concentration polarization
  • Lévêque correlation
  • Microfluidic
  • NF
  • Peptide concentration
  • RO

ASJC Scopus subject areas

  • Biochemistry
  • General Materials Science
  • Physical and Theoretical Chemistry
  • Filtration and Separation

Fingerprint

Dive into the research topics of 'Microfluidic NF/RO separation: Cell design, performance and application'. Together they form a unique fingerprint.

Cite this