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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (10/10 displayed)

  • 2022Biomimetic Metal-Organic Frameworks as Protective Scaffolds for Live-virus Encapsulation and Vaccine Stabilisation – TEM Staining Considerations.citations
  • 2022Biomimetic Metal-Organic Frameworks as Protective Scaffolds for Live-virus Encapsulation and Vaccine Stabilisation – TEM Staining Considerations.citations
  • 2022Underlying Polar and Nonpolar Modification MOF-Based Factors that Influence Permanent Porosity in Porous Liquids23citations
  • 2021Underlying solvent-based factors that influence permanent porosity in porous liquids15citations
  • 2019Encapsulation, Visualization and Expression of Genes with Biomimetically Mineralized Zeolitic Imidazolate Framework-8 (ZIF-8)138citations
  • 2017Limitations with solvent exchange methods for synthesis of colloidalfullerenes15citations
  • 2013Predicting properties of nanoparticles for drug delivery and tissue targetingcitations
  • 2012Predicting phase behaviour of nanostructured lipid-based self-assembled materialscitations
  • 2012Predicting complex phase behaviour of self-assembling drug delivery nanoparticlescitations
  • 2011Robust and predictive modelling of amphiphilic nanostructured nanoparticle drug delivery vehicle phase behaviourcitations

Places of action

Chart of shared publication
Doherty, Cara
1 / 1 shared
Bean, Andrew
2 / 2 shared
Beddome, Gary
2 / 3 shared
Layton, Daniel
2 / 2 shared
Singh, Ruhani
2 / 2 shared
De Vries, Malisja
2 / 2 shared
Dai, Meiling
2 / 2 shared
Eden, Nathan
1 / 1 shared
Smith, Stefan
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Acharya, Durga
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Mahdavi, Hamidreza
2 / 8 shared
Macreadie, Lauren
1 / 2 shared
Zhang, Huacheng
1 / 1 shared
Falcaro, Paolo
1 / 49 shared
Liang, Kang
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Ricco, Raffaele
1 / 16 shared
Amenitsch, Heinz
1 / 46 shared
Dhakal, Sudip
1 / 1 shared
Conesa, José J.
1 / 1 shared
Pereiro, Eva
1 / 4 shared
Doherty, Cara M.
1 / 6 shared
Shukla, Ravi
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Bryant, Gary
1 / 4 shared
Poddar, Arpita
1 / 3 shared
Doonan, Christian
1 / 14 shared
Reineck, Philipp
1 / 4 shared
Such, Georgina
1 / 1 shared
Wang, Chunru
1 / 1 shared
Muir, Ben
1 / 10 shared
Hao, Xiaojuan
1 / 2 shared
Yang, Shenglin
1 / 1 shared
Gengenbach, Thomas
1 / 15 shared
Waddington, Lynne
1 / 4 shared
Zhen, Mingming
1 / 1 shared
Shaw, Stanley
1 / 1 shared
Weissleder, Ralph
1 / 1 shared
Winkler, Dave
4 / 17 shared
Tassa, Carlos
1 / 1 shared
Le, Tu
4 / 5 shared
Burden, Frank
1 / 1 shared
Epa, Vidana
1 / 1 shared
Drummond, Calum
1 / 2 shared
Chart of publication period
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2021
2019
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Co-Authors (by relevance)

  • Doherty, Cara
  • Bean, Andrew
  • Beddome, Gary
  • Layton, Daniel
  • Singh, Ruhani
  • De Vries, Malisja
  • Dai, Meiling
  • Eden, Nathan
  • Smith, Stefan
  • Acharya, Durga
  • Mahdavi, Hamidreza
  • Macreadie, Lauren
  • Zhang, Huacheng
  • Falcaro, Paolo
  • Liang, Kang
  • Ricco, Raffaele
  • Amenitsch, Heinz
  • Dhakal, Sudip
  • Conesa, José J.
  • Pereiro, Eva
  • Doherty, Cara M.
  • Shukla, Ravi
  • Bryant, Gary
  • Poddar, Arpita
  • Doonan, Christian
  • Reineck, Philipp
  • Such, Georgina
  • Wang, Chunru
  • Muir, Ben
  • Hao, Xiaojuan
  • Yang, Shenglin
  • Gengenbach, Thomas
  • Waddington, Lynne
  • Zhen, Mingming
  • Shaw, Stanley
  • Weissleder, Ralph
  • Winkler, Dave
  • Tassa, Carlos
  • Le, Tu
  • Burden, Frank
  • Epa, Vidana
  • Drummond, Calum
OrganizationsLocationPeople

document

Robust and predictive modelling of amphiphilic nanostructured nanoparticle drug delivery vehicle phase behaviour

  • Winkler, Dave
  • Mulet, Xavier
  • Le, Tu
  • Drummond, Calum
Abstract

Novel amphiphilic lyotropic liquid crystalline self-assembly materials are being investigated for a diverse variety of advanced multifunctional applications including encapsulation and controlled release of therapeutic agents as well as incorporation of medical imaging agents. When lyotropic liquids are added to a polar solvent, the crystals form and can adopt a range of morphologies including 1D lamellar structures, 2D inverse hexagonal phases and 3D inverse bicontinuous cubic phases among which the cubic phases are gaining considerable interest as their dispersions can be biodegradable, adaptable to multiple drug sizes, have enhanced physical and chemical stability and may enhance cellular uptake 3. However only little is known about the effect of the incorporated drug on the structure of the cubic phase.Therefore we have developed robust and predictive models attempting to explain the phase behaviour of two drug delivery carriers, phytantriol and Myverol, for a number of drugs at different concentrations and temperatures. Using the state-of-the-art quantitative structure-property relationship modelling techniques, our models could successfully predict these phase transitions with high accuracy.

Topics
  • nanoparticle
  • impedance spectroscopy
  • dispersion
  • phase
  • chemical stability
  • phase transition
  • self-assembly
  • lamellae