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 (4/4 displayed)

  • 2021Machine learning predicts 3D printing performance of over 900 drug delivery systemscitations
  • 202110 MW mechanical power transfer standard for nacelle test benches using a torque transducer and an inclinometer2citations
  • 2021Functionalized Germanene-Based Nanomaterials for the Detection of Single Nucleotide Polymorphism23citations
  • 2012Compact optical microfiber components based on small size piezoelectric ceramic transducercitations

Places of action

Chart of shared publication
Elbadawi, M.
1 / 4 shared
Basit, Aw
1 / 17 shared
Cabalar, P.
1 / 2 shared
Pérez, G.
1 / 2 shared
Pollard, T.
1 / 1 shared
Gaisford, S.
1 / 21 shared
Muñiz Castro, B.
1 / 2 shared
Goyanes, A.
1 / 16 shared
Ong, Jj
1 / 2 shared
Kumme, R.
1 / 1 shared
Weidinger, P.
1 / 1 shared
Yogal, N.
1 / 1 shared
Eich, N.
1 / 1 shared
Zhang, H.
1 / 92 shared
Ang, W. L.
1 / 1 shared
Bonanni, A.
1 / 38 shared
Luo, X.
1 / 5 shared
Sofer, Zdeněk
1 / 20 shared
Mazánek, Vlastimil
1 / 9 shared
Marvan, Petr
1 / 3 shared
Ding, C.
1 / 1 shared
Ambrosi, A.
1 / 2 shared
Sturala, Jiri
1 / 5 shared
Newson, T. P.
1 / 2 shared
Chen, G. Y.
1 / 4 shared
Belal, Mohammad
1 / 2 shared
Brambilla, Gilberto
1 / 37 shared
Koukharenko, E.
1 / 13 shared
Zhang, X.
1 / 65 shared
Chart of publication period
2021
2012

Co-Authors (by relevance)

  • Elbadawi, M.
  • Basit, Aw
  • Cabalar, P.
  • Pérez, G.
  • Pollard, T.
  • Gaisford, S.
  • Muñiz Castro, B.
  • Goyanes, A.
  • Ong, Jj
  • Kumme, R.
  • Weidinger, P.
  • Yogal, N.
  • Eich, N.
  • Zhang, H.
  • Ang, W. L.
  • Bonanni, A.
  • Luo, X.
  • Sofer, Zdeněk
  • Mazánek, Vlastimil
  • Marvan, Petr
  • Ding, C.
  • Ambrosi, A.
  • Sturala, Jiri
  • Newson, T. P.
  • Chen, G. Y.
  • Belal, Mohammad
  • Brambilla, Gilberto
  • Koukharenko, E.
  • Zhang, X.
OrganizationsLocationPeople

article

Functionalized Germanene-Based Nanomaterials for the Detection of Single Nucleotide Polymorphism

  • Ang, W. L.
  • Bonanni, A.
  • Song, Z.
  • Luo, X.
  • Sofer, Zdeněk
  • Mazánek, Vlastimil
  • Marvan, Petr
  • Ding, C.
  • Ambrosi, A.
  • Sturala, Jiri
Abstract

2D monoelemental materials beyond graphene, such as germanene, have recently garnered extensive attention due to their tunable optical and electronic properties. While the performance of germanene-based materials, for example, germanane, for energy storage and catalysis applications has been previously examined, to the best of our knowledge their use for electrochemical biosensing has yet to be widely explored. To this aim, a disposable genosensor, with three different types of nanosized germananes, namely, germanane, methylgermanane, and cyanopropylgermanane, is proposed here for the sensitive and selective detection of Alzheimer-related single nucleotide polymorphism (SNP) using electrochemical impedance spectroscopy. Among the three materials, germanane enabled excellent bioanalytical performance and showcased rapid electron transfer rates for the detection of SNP, providing a linear range between 1 × 10-12 and 1 × 10-8 M and with a detection limit of 34 pM under optimized conditions. Moreover, the potential of the developed device for miniaturization and decentralized analysis is demonstrated with the use of a disposable electrode printed chip (DEP-chip). This study not only demonstrated the potential use of germanene-based nanomaterials as a biosensing platform but also provided a platform to tailor their chemical features to achieve the optimal biosensing performance. © 2021 American Chemical Society.

Topics
  • impedance spectroscopy