Feature selection strategies for identification of Staphylococcus aureus recovered in blood cultures using FT-IR spectroscopy successive projections algorithm for variable selection: A case study

2014 ◽  
Vol 98 ◽  
pp. 26-30 ◽  
Author(s):  
Aline de Sousa Marques ◽  
Maria Celeste Nunes de Melo ◽  
Thiago André Cidral ◽  
Kássio Michell Gomes de Lima
2016 ◽  
Author(s):  
Isabelle Ferreira ◽  
Lazaro P. M. Neto ◽  
Maurilio José das Chagas ◽  
Luís Felipe C. S. Carvalho ◽  
Laurita dos Santos ◽  
...  

2019 ◽  
Vol 7 (1) ◽  
Author(s):  
Pilleriin Peets ◽  
Karl Kaupmees ◽  
Signe Vahur ◽  
Ivo Leito

AbstractIn this study, the reflectance-FT-IR (r-FT-IR) spectroscopy is demonstrated to be a suitable option for non-invasive identification of textile fibers. A collection of known textile fibers, 61 single-component textiles from 16 different types, were analyzed, resulting in more than 4000 individual spectra. The r-FT-IR method was compared with ATR-FT-IR spectroscopy using two instrumental approaches: FT-IR-microspectrometer with ATR mode (mATR-FT-IR) and ATR-FT-IR spectrometer (ATR-FT-IR). Advantages and drawbacks of these methods were discussed. Principal component based discriminant analysis and random forest classification methods were created for the identification of textile fibers in case-study samples. It was concluded that in general, the performance of r-FT-IR is comparable with ATR-FT-IR. In particular, r-FT-IR is more successful than ATR-FT-IR in differentiating between the amide-based fibers wool, silk and polyamide. As an additional result of this work, a collection of r-FT-IR spectra of different textile fibers was compiled and made available for the scientific community.


Author(s):  
Maciej Strzempek ◽  
Karolina A. Tarach ◽  
Kinga Góra-Marek ◽  
Fernando Rey ◽  
Miguel Palomino ◽  
...  

Abstract In this article the results of the statistical MC modelling corroborated by the FT-IR spectroscopy and gravimetric adsorption studies of the low aliphatic hydrocarbons in ZSM-5 (Si/Al =28 or...


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