Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Bioinspired Adhesion Polymers: Wear Resistance of Adsorption Layers.
KTH Royal Institute of Technology, Sweden.
Vilnius University, Lithuania.
Vilnius University, Lithuania.
Vilnius University, Lithuania.
Show others and affiliations
2019 (English)In: Langmuir, ISSN 0743-7463, E-ISSN 1520-5827Article in journal (Refereed) Epub ahead of print
Abstract [en]

Mussel adhesive polymers owe their ability to strongly bind to a large variety of surfaces under water to their high content of 3,4-dihydroxy-l-phenylalanine (DOPA) groups and high positive charge. In this work, we use a set of statistical copolymers that contain medium-length poly(ethylene oxide) side chains that are anchored to the surface in three different ways: by means of (i) electrostatic forces, (ii) catechol groups (as in DOPA), and (iii) the combination of electrostatic forces and catechol groups. A nanotribological scanning probe method was utilized to evaluate the wear resistance of the formed layers as a function of normal load. It was found that the combined measurement of surface topography and stiffness provided an accurate assessment of the wear resistance of such thin layers. In particular, surface stiffness maps allowed us to identify the initiation of wear before a clear topographical wear scar was developed. Our data demonstrate that the molecular and abrasive wear resistance on silica surfaces depends on the anchoring mode and follows the order catechol groups combined with electrostatic forces > catechol groups alone > electrostatic forces alone. The devised methodology should be generally applicable for evaluating wear resistance or "robustness" of thin adsorbed layers on a variety of surfaces.

Place, publisher, year, edition, pages
2019.
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-39717DOI: 10.1021/acs.langmuir.9b01818PubMedID: 31310126OAI: oai:DiVA.org:ri-39717DiVA, id: diva2:1341933
Available from: 2019-08-12 Created: 2019-08-12 Last updated: 2019-08-12Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textPubMed
By organisation
Surface, Process and Formulation
In the same journal
Langmuir
Natural Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 1 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
v. 2.35.7