Bacterial pattern identification in near-infrared spectrum

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Křepelka, Pavel
Perez-Rodriguez, Fernando
Bartušek, Karel

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Mark

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Lublin University of Technology
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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.
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.

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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

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Peer-reviewed

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en

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