BACTERIAL PATTERN IDENTIFICATION IN NEAR-INFRARED SPECTRUM
Pavel Krepelka
xkrepe01@stud.feec.vutbr.czBrno 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)
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 spectroscopyReferences
Alexandrakis D., Downey G., Scannell A. G. M.: Detection and identification of bacteria in an isolated system with near-infrared spectroscopy and multivariate analysis, Journal of agricultural and food chemistry, Vol. 56 (10), pp. 3431-3437.
Google Scholar
Burns, D.A., Ciurczak, E.W.: Handbook of near-infrared analysis, Third Edition, CRC Press, 2008.
Google Scholar
Cámara-Martos F., Zurera-Cosano G., Moreno-Rojas R., García-Gimeno R.M., Pérez-Rodríguez F.: Identification and Quantification of Lactic Acid Bacteria in a Water-Based Matrix with Near-Infrared Spectroscopy and Multivariate Regression Modeling, Food Analytical Methods, Vol. 5 (1), pp. 19-28.
Google Scholar
Krepelka, P.: Identification of bacteria strains via advanced methods for the statistical processing of near- infrared spectra, Proceedings of PIERS 2013, Stockholm, 2013.
Google Scholar
Naes T., Isakson T., Fearn T., Davies. T.: A user-friendly guide to multivariate calibration and classification, NIR Publications, Chichester, 2003, DOI: 10.1002/cem.815
Google Scholar
Rodriguez-Saona L.E., Khambaty F.M., Fry F.S., Calvey E.M.: Rapid detection and identification of bacterial strains by Fourier transform near-infrared spectroscopy. J Agric Food Chem. 2001, Vol 49(2), pp. 574-9.
Google Scholar
Siesler H. W., Ozaki Y., Kawata S., Heise H. M.: Near-infrared spectroscopy. Principles, instruments, applications, Wiley-VCH, Weinheim, 2002.
Google Scholar
Stuard, B.: Infrared spectroscopy: fundamentals and application, Ants wiley, 2004.
Google Scholar
Thennadil S. N., Martens H., Kohler A.: Physics-Based Multiplicative Scatter Correction Approaches for Improving the Performance of Calibration Models, Appl. Spectrosc., 2006, Vol. 60, pp. 315-321.
Google Scholar
Authors
Pavel Krepelkaxkrepe01@stud.feec.vutbr.cz
Brno University of Technology, Department of Theoretical and Experimental Electrical Engineering Czechia
Authors
Fernando Pérez-RodríguezUniversidad de Córdoba, Departamento de Bromatología y Tecnología de los Alimentos Spain
Authors
Karel BartusekAcademy of Sciences of the Czech Republic, Institute of Scientific Instruments Czechia
Statistics
Abstract views: 261PDF downloads: 85
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Most read articles by the same author(s)
- Pavel Fiala, Karel Bartušek, Jarmila Dědková, Premysl Dohnal, EMG FIELD ANALYSIS IN DYNAMIC MICROSCOPIC/NANOSCOPIC MODELS OF MATTER , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 9 No. 1 (2019)
- Eliška Hutová, Petr Marcoň, Karel Bartušek, EFFECT OF HIGH VOLTAGE ON THE DEVELOPMENT OF THE PLANT TISSUE , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 5 No. 4 (2015)
