Scattering versus fluorescence self-quenching: more than a question of faith for the quantification of water flux in large unilamellar vesicles?

  • Johann Wachlmayr
  • , Christof Hannesschläger
  • , Armin Speletz
  • , Thomas Barta
  • , Anna Eckerstorfer
  • , Christine Siligan
  • , Andreas Horner*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The endeavors to understand the determinants of water permeation through membrane channels, the effect of the lipid or polymer membrane on channel function, the development of specific water flow inhibitors, the design of artificial water channels and aquaporins for the use in industrial water filtration applications all rely on accurate ways to quantify water permeabilities (P f). A commonly used method is to reconstitute membrane channels into large unilamellar vesicles (LUVs) and to subject these vesicles to an osmotic gradient in a stopped-flow device. Fast recordings of either scattered light intensity or fluorescence self-quenching signals are taken as a readout for vesicle volume change, which in turn can be recalculated to accurateP fvalues. By means of computational and experimental data, we discuss the pros and cons of using scatteringversusself-quenching experiments or subjecting vesicles to hypo- or hyperosmotic conditions. In addition, we explicate for the first time the influence of the LUVs size distribution, channel distribution between vesicles and remaining detergent after protein reconstitution onP fvalues. We point out that results such as the single channel water permeability (p f) depend on the membrane matrix or on the direction of the applied osmotic gradient may be direct results of the measurement and analysis procedure.

Original languageEnglish
Pages (from-to)58-76
Number of pages19
JournalNanoscale Advances
Volume4
Issue number1
Early online date18 Oct 2021
DOIs
Publication statusPublished - 07 Jan 2022

Fields of science

  • 106006 Biophysics
  • 103 Physics, Astronomy

JKU Focus areas

  • Sustainable Development: Responsible Technologies and Management

Cite this