Detail publikace

BACTERIAL PATTERN IDENTIFICATION IN NEAR-INFRARED SPECTRUM

Originální název

BACTERIAL PATTERN IDENTIFICATION IN NEAR-INFRARED SPECTRUM

Anglický název

BACTERIAL PATTERN IDENTIFICATION IN NEAR-INFRARED SPECTRUM

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

BibTex


@article{BUT110141,
  author="Pavel {Křepelka} and Fernando {Perez-Rodriguez} and Karel {Bartušek}",
  title="BACTERIAL PATTERN IDENTIFICATION IN NEAR-INFRARED SPECTRUM",
  annote="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.",
  address="Center of Innovation and Technology Transfer of Lublin Scientific and Technology Park",
  chapter="110141",
  doi="10.5604/20830157.1121369",
  howpublished="print",
  institution="Center of Innovation and Technology Transfer of Lublin Scientific and Technology Park",
  number="3",
  volume="2014",
  year="2014",
  month="september",
  pages="58--60",
  publisher="Center of Innovation and Technology Transfer of Lublin Scientific and Technology Park",
  type="journal article"
}