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)

  • 2009Generating Bio-Analogous Recognition of Artificial Materials - Sensors and Electronic Noses for Odourscitations

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Dickert, Franz L.
1 / 1 shared
Lieberzeit, Peter
1 / 18 shared
Rehman, Abdul
1 / 5 shared
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2009

Co-Authors (by relevance)

  • Dickert, Franz L.
  • Lieberzeit, Peter
  • Rehman, Abdul
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document

Generating Bio-Analogous Recognition of Artificial Materials - Sensors and Electronic Noses for Odours

  • Najafi, Bita
  • Dickert, Franz L.
  • Lieberzeit, Peter
  • Rehman, Abdul
Abstract

<p>Chemical sensing is a key application of bio-inspired smart materials. Artificial nanostructured layers mimicking biorecognition are synthetically accessible e.g. by imprinting techniques or affinity material nanoparticles. Hence, for detecting extremely malodorous organic thiols (butaneloctance thiol), we designed molybdenum disulphide nanoparticles. In contrast to soft metals (e.g. gold) they interact with the SH-group fully reversibly leading to one of the first real QCM sensors for these compounds. Rationally varying the surface of the recognition material allows for optimizing the interaction properties. Electrolyzed gold e.g. shows sensor effects being about an order of magnitude higher than screen printed electrodes. Furthermore, molecular imprinting leads to highly selective cavities in polymers (polyurethanes, -styrenes, -acrylates) for detecting odorous compounds, e.g. aliphatic alcohols, ethyl acetate and limonene. With these materials, we designed an electronic nose for monitoring plant degradation processes based on a six-electrode QCM (quartz crystal microbalance) array. With a variety of degrading materials (grass, fruit, conifers), it determines the above analytes down to some ppm directly on-line. The concentration data can be extracted from the E-nose frequency shifts by Neural Networks and validated by GC-MS.</p>

Topics
  • nanoparticle
  • impedance spectroscopy
  • surface
  • compound
  • molybdenum
  • polymer
  • gold
  • gas chromatography
  • alcohol
  • gas chromatography-mass spectrometry