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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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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Jorgensen, Lene

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University of Copenhagen

in Cooperation with on an Cooperation-Score of 37%

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Publications (5/5 displayed)

  • 2019Exploring the chemical space for freeze-drying excipients14citations
  • 2017Correlation between calculated molecular descriptors of excipient amino acids and experimentally observed thermal stability of lysozyme11citations
  • 2015Simple measurements for prediction of drug release from polymer matrices - Solubility parameters and intrinsic viscosity24citations
  • 2013pH dependent polymer surfactants for hindering BSA adsorption to oil-water interfacecitations
  • 2004Probing structural changes of proteins incorporated into water-in-oil emulsions45citations

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Holm, Tobias Palle
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Rantanen, Jukka
2 / 43 shared
Poso, Antti
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Meng-Lund, Helena Marie Lindholm
2 / 3 shared
Grohganz, Holger
2 / 43 shared
Friis, Natascha
1 / 1 shared
Van De Weert, Marco
2 / 4 shared
Rades, Thomas
1 / 107 shared
Baldursdottir, Stefania G.
1 / 8 shared
Skov, Anders
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Madsen, Claus G.
1 / 1 shared
Medlicott, Natalie J.
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Tenhu, Heikki
1 / 35 shared
Colak, Sulan
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Guzman, Paulina
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Medlicott, Natalie
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Baldursdottir, Stefania
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Alhoranta, Anu
1 / 1 shared
Niskanen, Jukka
1 / 7 shared
Vermehren, Charlotte
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Frøkjær, Sven
1 / 1 shared
Bjerregaard, Simon
1 / 3 shared
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2017
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Co-Authors (by relevance)

  • Holm, Tobias Palle
  • Rantanen, Jukka
  • Poso, Antti
  • Meng-Lund, Helena Marie Lindholm
  • Grohganz, Holger
  • Friis, Natascha
  • Van De Weert, Marco
  • Rades, Thomas
  • Baldursdottir, Stefania G.
  • Skov, Anders
  • Madsen, Claus G.
  • Medlicott, Natalie J.
  • Tenhu, Heikki
  • Colak, Sulan
  • Guzman, Paulina
  • Medlicott, Natalie
  • Baldursdottir, Stefania
  • Alhoranta, Anu
  • Niskanen, Jukka
  • Vermehren, Charlotte
  • Frøkjær, Sven
  • Bjerregaard, Simon
OrganizationsLocationPeople

article

Simple measurements for prediction of drug release from polymer matrices - Solubility parameters and intrinsic viscosity

  • Jorgensen, Lene
  • Rades, Thomas
  • Baldursdottir, Stefania G.
  • Skov, Anders
  • Madsen, Claus G.
  • Medlicott, Natalie J.
Abstract

<p>PURPOSE: This study describes how protein release from polymer matrices correlate with simple measurements on the intrinsic viscosity of the polymer solutions used for casting the matrices and calculations of the solubility parameters of polymers and solvents used.</p><p>METHOD: Matrices of poly(dl-lactide-co-glycolide) (PLGA) were cast with bovine serum albumin (BSA) as a model drug using different solvents (acetone, dichloromethane, ethanol and water). The amount of released protein from the different matrices was correlated with the Hildebrand and Hansen solubility parameters of the solvents, and the intrinsic viscosity of the polymer solutions. Matrix microstructure was investigated by transmission and scanning electron microscopy (TEM and SEM). Polycaprolactone (PCL) matrices were used in a similar way to support the results for PLGA matrices.</p><p>RESULTS: The maximum amount of BSA released and the release profile from PLGA matrices varied depending on the solvent used for casting. The maximum amount of released BSA decreased with higher intrinsic viscosity, and increased with solubility parameter difference between the solvent and polymer used. The solvent used also had an effect on the matrix microstructure as determined by TEM and SEM. Similar results were obtained for the PCL polymer systems.</p><p>CONCLUSIONS: The smaller the difference in the solubility parameter between the polymer and the solvent used for casting a polymer matrix, the lower will be the maximum protein release. This is because of the presence of smaller pore sizes in the cast matrix if a solvent with a solubility parameter close to the one of the polymer is used. Likewise, the intrinsic viscosity of the polymer solution increases as solubility parameter differences decrease, thus, simple measurements of intrinsic viscosity and solubility parameter difference, allow the prediction of protein release profiles.</p>

Topics
  • impedance spectroscopy
  • microstructure
  • pore
  • polymer
  • scanning electron microscopy
  • viscosity
  • transmission electron microscopy
  • casting