Bacterial pattern identification in near-infrared spectrum

Křepelka, Pavel; Perez-Rodriguez, Fernando; Bartušek, Karel

Bacterial pattern identification in near-infrared spectrum

Files

1235Article Text340711020191230.pdf(789.27 KB)

Date

2014-09-17

Authors

Křepelka, Pavel

Perez-Rodriguez, Fernando

Bartušek, Karel

Publisher

Lublin University of Technology

Altmetrics

Abstract

Abstract. Microorganism identification, primary bacterial identification and pathogen detection, is important in a lot of microbial scientific areas (diagnosing of infection diseases, food protection). In this, the identification of the strains was performed by near infrared spectroscopy (wavelength from 900 nm to 2500 nm). Different techniques for classification (CVA,ANN…) were examined. It was reached to 100% accuracy on limited count of samples. Near Infrared (NIR) spectroscopy seems to be as suitable method for rapid bacteria identification. It can be used in a wide variety of food protection, medicine microbiology, bio-terrorism threats and environmental studies.
Je rozebrána identifikace bak. kmenů pomocí blízké infračervené spektroskopie (vlnová délka od 900 nm do 2500 nm). Byly zkoumány různé techniky pro klasifikaci (CVA, ANN ...). Bylo dosaženo přesnosti 100% na omezeném počet vzorků. Metoda může být použita v širokém spektru ochrany potravin, farmacie, mikrobiologie a ekologie.

Keywords

Infrared imaging, spectroscopy, cells, absorption, Near infrared spectroscopy, Infračervené zobrazování, spektroskopie, buňky, absorpce, infračervená spektroskopie

Citation

Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska. 2014, vol. 4, issue 3, p. 58-60.
https://ph.pollub.pl/index.php/iapgos/article/view/1235

Document type

Peer-reviewed

Document version

Published version

Language of document

en

Document licence

Creative Commons Attribution-ShareAlike 4.0 International
http://creativecommons.org/licenses/by-sa/4.0/