| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Goodacre, Royston
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Topics
Publications (9/9 displayed)
- 2018A Novel Adaptation Mechanism Underpinning Algal Colonization of a Nuclear Fuel Storage Pondcitations
- 2017Commentary on "rapid identification of streptococcus and enterococcus species using diffuse reflectance-absorbance fourier transform infrared spectroscopy and artificial neural networks"citations
- 2016Metabolic analysis of the response of Pseudomonas putida DOT-T1E strains to toluene using Fourier transform infrared spectroscopy and gas chromatography mass spectrometrycitations
- 2010Phenotypic characterization of shewanella oneidensis MR-1 under aerobic and anaerobic growth conditions by using fourier transform infrared spectroscopy and high-performance liquid chromatography analysescitations
- 2010Impact of silver(I) on the metabolism of Shewanella oneidensiscitations
- 2006The rapid differentiation of Streptomyces isolates using Fourier transform infrared spectroscopycitations
- 2004Differentiation of Micromonospora isolates from a coastal sediment in Wales on the basis of fourier transform infrared spectroscopy, 16S rRNA sequence analysis, and the amplified fragment length polymorphism techniquecitations
- 2002Rapid and quantitative detection of the microbial spoilage of meat by fourier transform infrared spectroscopy and machine learningcitations
- 2002Sample preparation in matrix-assisted laser desorption/ionization mass spectrometry of whole bacterial cells and the detection of high mass (>20 kDa) proteinscitations
Places of action
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article
The rapid differentiation of Streptomyces isolates using Fourier transform infrared spectroscopy
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.