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.


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

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.

Burns, D.A., Ciurczak, E.W.: Handbook of near-infrared analysis, Third Edition, CRC Press, 2008.

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.

Krepelka, P.: Identification of bacteria strains via advanced methods for the statistical processing of near- infrared spectra, Proceedings of PIERS 2013, Stockholm, 2013.

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

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.

Siesler H. W., Ozaki Y., Kawata S., Heise H. M.: Near-infrared spectroscopy. Principles, instruments, applications, Wiley-VCH, Weinheim, 2002.

Stuard, B.: Infrared spectroscopy: fundamentals and application, Ants wiley, 2004.

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.


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.

Pavel Krepelka
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