Bacterial pattern identification in near-infrared spectrum

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dc.contributor.authorKřepelka, Pavelcs
dc.contributor.authorPerez-Rodriguez, Fernandocs
dc.contributor.authorBartušek, Karelcs
dc.coverage.issue3cs
dc.coverage.volume4cs
dc.date.issued2014-09-17cs
dc.description.abstractAbstract. 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.en
dc.description.abstractAbstract. 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.en
dc.formattextcs
dc.format.extent58-60cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationInformatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska. 2014, vol. 4, issue 3, p. 58-60.en
dc.identifier.doi10.5604/20830157.1121369cs
dc.identifier.issn2083-0157cs
dc.identifier.orcid0000-0002-6598-5424cs
dc.identifier.other110141cs
dc.identifier.researcheridD-3389-2012cs
dc.identifier.scopus6508372019cs
dc.identifier.urihttp://hdl.handle.net/11012/201716
dc.language.isoencs
dc.publisherLublin University of Technologycs
dc.relation.ispartofInformatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiskacs
dc.relation.urihttps://ph.pollub.pl/index.php/iapgos/article/view/1235cs
dc.rightsCreative Commons Attribution-ShareAlike 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/2083-0157/cs
dc.rights.urihttp://creativecommons.org/licenses/by-sa/4.0/cs
dc.subjectInfrared imagingen
dc.subjectspectroscopyen
dc.subjectcellsen
dc.subjectabsorptionen
dc.subjectNear infrared spectroscopyen
dc.subjectInfrared imaging
dc.subjectspectroscopy
dc.subjectcells
dc.subjectabsorption
dc.subjectNear infrared spectroscopy
dc.titleBacterial pattern identification in near-infrared spectrumen
dc.title.alternativeBacterial pattern identification in near-infrared spectrumen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-110141en
sync.item.dbtypeVAVen
sync.item.insts2025.10.14 14:13:01en
sync.item.modts2025.10.14 09:45:36en
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav teoretické a experimentální elektrotechnikycs

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