BACTERIAL PATTERN IDENTIFICATION IN NEAR-INFRARED SPECTRUM


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 paper, 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. Because a removing of water from sample represents a time-consuming step in sample preparation process, influence of water to spectrum was examined.  Near Infrared (NIR) spectroscopy seems to be a 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.


Keywords

infrared imaging; spectroscopy; cells; absorption; near infrared spectroscopy

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Published : 2014-09-26


Krepelka, P., Pérez-Rodríguez, F., & Bartusek, K. (2014). BACTERIAL PATTERN IDENTIFICATION IN NEAR-INFRARED SPECTRUM. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 4(3), 58-60. https://doi.org/10.5604/20830157.1121369

Pavel Krepelka  xkrepe01@stud.feec.vutbr.cz
Brno University of Technology, Department of Theoretical and Experimental Electrical Engineering  Czechia
Fernando Pérez-Rodríguez 
Universidad de Córdoba, Departamento de Bromatología y Tecnología de los Alimentos  Spain
Karel Bartusek 
Academy of Sciences of the Czech Republic, Institute of Scientific Instruments  Czechia