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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2021Fourier transform infrared spectroscopy coupled with machine learning classification for identification of oxidative damage in freeze-dried heart valves12citations

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Chart of shared publication
Hilfiker, Andres
1 / 1 shared
Sieme, Harald
1 / 1 shared
Oldenhof, Harriëtte
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Wolkers, Willem F.
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Jung, Klaus
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Liu, Dejia
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Rashidfarokhi, Bita
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Chart of publication period
2021

Co-Authors (by relevance)

  • Hilfiker, Andres
  • Sieme, Harald
  • Oldenhof, Harriëtte
  • Wolkers, Willem F.
  • Jung, Klaus
  • Liu, Dejia
  • Rashidfarokhi, Bita
OrganizationsLocationPeople

article

Fourier transform infrared spectroscopy coupled with machine learning classification for identification of oxidative damage in freeze-dried heart valves

  • Hilfiker, Andres
  • Sieme, Harald
  • Oldenhof, Harriëtte
  • Wolkers, Willem F.
  • Caliskan, Sükrü
  • Jung, Klaus
  • Liu, Dejia
  • Rashidfarokhi, Bita
Abstract

<jats:title>Abstract</jats:title><jats:p>Freeze-drying can be used to ensure off-the-shelf availability of decellularized heart valves for cardiovascular surgery. In this study, decellularized porcine aortic heart valves were analyzed by nitroblue tetrazolium (NBT) staining and Fourier transform infrared spectroscopy (FTIR) to identify oxidative damage during freeze-drying and subsequent storage as well as after treatment with H<jats:sub>2</jats:sub>O<jats:sub>2</jats:sub> and FeCl<jats:sub>3</jats:sub>. NBT staining revealed that sucrose at a concentration of at least 40% (w/v) is needed to prevent oxidative damage during freeze-drying. Dried specimens that were stored at 4 °C depict little to no oxidative damage during storage for up to 2 months. FTIR analysis shows that fresh control, freeze-dried and stored heart valve specimens cannot be distinguished from one another, whereas H<jats:sub>2</jats:sub>O<jats:sub>2</jats:sub>- and FeCl<jats:sub>3</jats:sub>-treated samples could be distinguished in some tissue section. A feed forward artificial neural network model could accurately classify H<jats:sub>2</jats:sub>O<jats:sub>2</jats:sub> and FeCl<jats:sub>3</jats:sub> treated samples. However, fresh control, freeze-dried and stored samples could not be distinguished from one another, which implies that these groups are very similar in terms of their biomolecular fingerprints. Taken together, we conclude that sucrose can minimize oxidative damage caused by freeze-drying, and that subsequent dried storage has little effects on the overall biochemical composition of heart valve scaffolds.</jats:p>

Topics
  • impedance spectroscopy
  • Fourier transform infrared spectroscopy
  • drying
  • machine learning