Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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University of East Anglia

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (7/7 displayed)

  • 2024Understanding the interplay of Zn vapours and formation of intermetallic compounds during remote laser welding of Zn-coated steel to aluminium in a zero-gap lap joint configuration1citations
  • 2023Mixed Potential Electrochemical Sensors for Natural Gas Leak Detection – Field Testing of Portable Sensor Packagecitations
  • 2022Quantifiable correlation of ToF‐SIMS and XPS data from polymer surfaces with controlled amino acid and peptide content3citations
  • 2020Pulsed laser deposition of single phase n- and p-type Cu2O thin films with low resistivity61citations
  • 2020Pulsed laser deposition of single phase n- and p-type Cu2O thin films with low resistivity61citations
  • 2012Electrochemically controlled release of antischistosomiasis agents from polypyrrole18citations
  • 2011Recent applications of SEM and AFM for assessing topography of metal and related coatings20citations

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Chart of shared publication
Ceglarek, Darek
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Jabar, Sharhid
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Franciosa, Pasquale
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Baghbani Barenji, Ali
1 / 1 shared
Kotadia, Hirenkumar
1 / 1 shared
Ayarkwa, Kwasi
1 / 1 shared
Agi, Kamil
1 / 3 shared
Garzon, Fernando H.
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Ian, Robert
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Halley, Sleight
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Steven, Rory T.
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Shard, Alexander G.
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Spencer, Steve J.
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Lledos, Marina
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Scurr, David J.
1 / 5 shared
Chan, Weng C.
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Simoes, Fabio
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Zelzer, Mischa
1 / 2 shared
Denning, Chris
1 / 3 shared
Genapathy, Sivaneswary
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Alexander, Morgan R.
1 / 10 shared
Canning, Anne
1 / 2 shared
Taylor, Michael
1 / 5 shared
Farhad, Dr. Syed Farid Uddin
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Fermín, David J.
1 / 37 shared
Cherns, David
2 / 17 shared
Fox, Neil A.
1 / 14 shared
Farhad, Syed Farid Uddin
1 / 2 shared
Fox, Neil
1 / 3 shared
Fermin, David
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Ewen, R.
1 / 4 shared
Campbell, S.
2 / 8 shared
Li, Y.
1 / 95 shared
Larson, C.
1 / 2 shared
Chart of publication period
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2020
2012
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Co-Authors (by relevance)

  • Ceglarek, Darek
  • Jabar, Sharhid
  • Franciosa, Pasquale
  • Baghbani Barenji, Ali
  • Kotadia, Hirenkumar
  • Ayarkwa, Kwasi
  • Agi, Kamil
  • Garzon, Fernando H.
  • Ian, Robert
  • Halley, Sleight
  • Steven, Rory T.
  • Shard, Alexander G.
  • Spencer, Steve J.
  • Lledos, Marina
  • Scurr, David J.
  • Chan, Weng C.
  • Simoes, Fabio
  • Zelzer, Mischa
  • Denning, Chris
  • Genapathy, Sivaneswary
  • Alexander, Morgan R.
  • Canning, Anne
  • Taylor, Michael
  • Farhad, Dr. Syed Farid Uddin
  • Fermín, David J.
  • Cherns, David
  • Fox, Neil A.
  • Farhad, Syed Farid Uddin
  • Fox, Neil
  • Fermin, David
  • Ewen, R.
  • Campbell, S.
  • Li, Y.
  • Larson, C.
OrganizationsLocationPeople

article

Quantifiable correlation of ToF‐SIMS and XPS data from polymer surfaces with controlled amino acid and peptide content

  • Steven, Rory T.
  • Shard, Alexander G.
  • Spencer, Steve J.
  • Smith, James
  • Lledos, Marina
  • Scurr, David J.
  • Chan, Weng C.
  • Simoes, Fabio
  • Zelzer, Mischa
  • Denning, Chris
  • Genapathy, Sivaneswary
  • Alexander, Morgan R.
  • Canning, Anne
  • Taylor, Michael
Abstract

Peptide-coated surfaces are widely employed in biomaterial design, but quantifiable correlation between surface composition and biological response is challenging due to, for example, instrumental limitations, a lack of suitable model surfaces or limitations in quantitatively correlating data from different surface analytical techniques. Here, we first establish a reference material that allows control over amino acid content. Reversible addition-fragmentation chain-transfer (RAFT) polymerisation is used to prepare a copolymer containing alkyne and furan units with well-defined chain length and composition. Huisgen Cu(I)-catalysed azide-alkyne cycloaddition reaction is used to attach the model azido-polyethyleneglycol-amide-modified pentafluoro-l-phenylalanine to the polymer. Different compositional ratios of the polymer provide a surface with varying amino acid content that is analysed by X-ray photoelectron spectroscopy (XPS) and time-of-flight secondary ion mass spectrometry (ToF-SIMS). Nitrogen-related signals are compared with fluorine signals from both techniques. Fluorine and nitrogen signals from both techniques are found to be related to the copolymer compositions, but the homopolymer data deviate from this trend. The approach is then translated to a heparin-binding peptide that supports cell adhesion. Human embryonic stem cells cultured on copolymer surfaces presenting different amounts of heparin-binding peptide show strong cell growth while maintaining pluripotency after 72 h of culture. The early cell adhesion at 24 h can be correlated to the logarithm of the normalised CH4N+ ion intensity from ToF-SIMS data, which is established as a suitable and generalisable marker ion for amino acids and peptides. This work contributes to the ability to use ToF-SIMS in a more quantitative manner for the analysis of amino acid and peptide surfaces.

Topics
  • impedance spectroscopy
  • surface
  • x-ray photoelectron spectroscopy
  • Nitrogen
  • copolymer
  • homopolymer
  • spectrometry
  • selective ion monitoring
  • secondary ion mass spectrometry
  • alkyne