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 (1/1 displayed)

  • 2006The rapid differentiation of Streptomyces isolates using Fourier transform infrared spectroscopy35citations

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Chart of shared publication
Zhao, Hongjuan J.
1 / 1 shared
Griffith, Gareth W.
1 / 3 shared
Parry, Rachel L.
1 / 1 shared
Goodacre, Royston
1 / 9 shared
Chart of publication period
2006

Co-Authors (by relevance)

  • Zhao, Hongjuan J.
  • Griffith, Gareth W.
  • Parry, Rachel L.
  • Goodacre, Royston
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article

The rapid differentiation of Streptomyces isolates using Fourier transform infrared spectroscopy

  • Zhao, Hongjuan J.
  • Griffith, Gareth W.
  • Parry, Rachel L.
  • Goodacre, Royston
  • Ellis, David Ian
Abstract

Fifteen putative Streptomyces spp. isolated from soil were selected to be analysed using Fourier transform infrared (FT-IR) spectroscopy and 16S rRNA gene sequencing. Four colour groupings (groups 1–4) were obtained and described according to the colour of their substrate mycelia, aerial mycelia, spore mass and pigmentation. The dendrogram constructed using unsupervised cluster analysis of the FT-IR data was in good congruence with the four colour groups and the neighbour-joining phylogenetic tree for 16S rDNA sequencing. In particular, those isolates having 100% 16S rDNA similarities which are supposed to be from the same species can be separated from each other using FT-IR analysis. This high throughput method only takes 1–10 s to collect a FT-IR spectrum from each sample, and both 96- and 384-well microplates are available for automated analysis. FT-IR therefore presents itself as a rapid, whole-organism fingerprinting approach which can be used for preliminary differentiation of Streptomyces spp. at sub-species or strain level.

Topics
  • cluster
  • Fourier transform infrared spectroscopy
  • joining