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Characterization of membrane–foulant interactions with novel combination of Raman spectroscopy, surface plasmon resonance and molecular dynamics simulation

  • Tiina Virtanen
  • , Petteri Parkkila
  • , Artturi Koivuniemi
  • , Jussi Lahti
  • , Tapani Viitala
  • , Mari Kallioinen
  • , Mika Mänttäri
  • , Alex Bunker*
  • *Korresponderande författare för detta arbete

Forskningsoutput: TidskriftsbidragArtikelVetenskapligPeer review

30 Citeringar (Scopus)

Sammanfattning

Adsorptive fouling, by phenolic compounds, is a serious issue regarding the development and use of membrane based filtration technologies for water purification and wastewater treatment. We have developed a novel, combined, protocol of Raman spectroscopy and surface plasmon resonance (SPR) experiments, along with molecular dynamics (MD) simulation, to study the interaction of vanillin, a model phenolic compound, with the polyethersulfone (PES) surface of a membrane. The adsorption of vanillin to the PES surface was found to be highly pH dependent; the source of this was determined, by MD simulation, to be the stronger interaction with the protonated form of vanillin, predominant at low pH. Vanillin interacts with the PES surface, both through entropy driven, hydrophobic, interactions and, for the case of the protonated form, H-bonding of the hydroxyl group with the sulphur oxygens of the PES molecules. In addition to general insight into the fouling process that can be used to develop new methods to inhibit adsorptive fouling, our results also elucidate the specific interaction of the PES membrane with vanillin that can be used in the development of anti-fouling coatings, based on the structure of vanillin.

OriginalspråkEngelska
Sidor (från-till)263-272
Antal sidor10
TidskriftSeparation and Purification Technology
Volym205
DOI
StatusPublicerad - 31 okt. 2018
Externt publiceradJa
MoE-publikationstypA1 Tidskriftsartikel-refererad

Finansiering

The authors would like to thank Eija Saski for discussions. This research was funded by the Academy of Finland (Grant No. 292253 and No. 288619 ). The computational work carried out using the resources of the CSC-IT Centre for Science Ltd. (CSC). We also express special thanks to Xue Zhang and KSV-NIMA for collaborating with the AFM and PM-IRRAS experiments, respectively.

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