693.932 PEOPLE
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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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| 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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| 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
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article
Commentary on "rapid identification of streptococcus and enterococcus species using diffuse reflectance-absorbance fourier transform infrared spectroscopy and artificial neural networks"
Abstract
<p>This is an invited review/commentary by the first and last authors of a paper that was the most cited in FEMS Microbiology Letters for 1996, presently showing in excess of 150 citations at Web of Science, and over 200 at Google Scholar. It was the first paper in which diffuse reflectance absorbance FT-IR spectroscopy was used with a supervised learning method in the form of artificial neural networks, and showed that this combination could succeed in discriminating a series of closely related, clinically relevant, Gram-positive bacterial strains.</p>