Characterization and identification of microorganisms by FT-IR microspectrometry

Abstract We report on a novel FT-IR approach for microbial characterization/identification based on a light microscope coupled to an infrared spectrometer which offers the possibility to acquire IR-spectra of microcolonies containing only few hundred cells. Microcolony samples suitable for FT-IR microspectroscopic measurements were obtained by a replica technique with a stamping device that transfers spatially accurate cells of microcolonies growing on solid culture plates to a special, IR-transparent or reflecting stamping plate. High quality spectra could be recorded either by applying the transmission/absorbance or the reflectance/absorbance mode of the infrared microscope. Signal to noise ratios higher than 1000 were obtained for microcolonies as small as 40 μm in diameter. Reproducibility levels were established that allowed species and strain identification. The differentiation and classification capacity of the FT-IR microscopic technique was tested for different selected microorganisms. Cluster and factor analysis methods were used to evaluate the complex spectral data. Excellent discrimination between bacteria and yeasts, and at the same time Gram-negative and Gram-positive bacterial strains was obtained. Twenty-two selected strains of different species within the genus Staphylococcus were repetitively measured and could be grouped into correct species cluster. Moreover, the results indicated that the method allows also identifications at the subspecies level. Additionally, the new approach allowed spectral mapping analysis of single colonies which provided spatially resolved characterization of growth heterogeneity within complex microbial populations such as colonies.

[1]  Harald Labischinski,et al.  Elaboration of a procedure for identification of bacteria using Fourier-Transform IR spectral libraries: a stepwise correlation approach , 1991 .

[2]  Royston Goodacre,et al.  Rapid Differentiation of Closely RelatedCandida Species and Strains by Pyrolysis-Mass Spectrometry and Fourier Transform-Infrared Spectroscopy , 1998, Journal of Clinical Microbiology.

[3]  Frank R. Burden,et al.  Fourier Transform Infrared microspectroscopy and chemometrics as a tool for the discrimination of cyanobacterial strains , 1999 .

[4]  D. Naumann,et al.  Prospective Study of the Performance of Vibrational Spectroscopies for Rapid Identification of Bacterial and Fungal Pathogens Recovered from Blood Cultures , 2003, Journal of Clinical Microbiology.

[5]  Harald Labischinski,et al.  Microbiological characterizations by FT-IR spectroscopy , 1991, Nature.

[6]  H. Goossens,et al.  Rapid and economical method for species identification of clinically significant coagulase-negative staphylococci , 1995, Journal of clinical microbiology.

[7]  D. Naumann,et al.  Classification and Identification of Enterococci: a Comparative Phenotypic, Genotypic, and Vibrational Spectroscopic Study , 2001, Journal of Clinical Microbiology.

[8]  Siegfried Scherer,et al.  Identification of coryneform bacteria and related taxa by Fourier-transform infrared (FT-IR) spectroscopy. , 2002, International journal of systematic and evolutionary microbiology.

[9]  Siegfried Scherer,et al.  Fourier-Transform Infrared Microspectroscopy, a Novel and Rapid Tool for Identification of Yeasts , 2002, Applied and Environmental Microbiology.

[10]  Harald Labischinski,et al.  The differentiation and identification of pathogenic bacteria using FT-IR and multivariate statistical analysis , 1988 .

[11]  K. Rieneck,et al.  Evaluation of Staph ID 32 system and Staph-Zym system for identification of coagulase-negative staphylococci , 1995, Journal of clinical microbiology.

[12]  P L Lang,et al.  The in situ infrared microspectroscopy of bacterial colonies on agar plates. , 1998, Cellular and molecular biology.

[13]  Siegfried Scherer,et al.  Rapid and Reliable Identification of Food-Borne Yeasts by Fourier-Transform Infrared Spectroscopy , 1998, Applied and Environmental Microbiology.

[14]  A G Williams,et al.  Effect of sampling procedure and strain variation in Listeria monocytogenes on the discrimination of species in the genus Listeria by Fourier transform infrared spectroscopy and canonical variates analysis. , 1997, FEMS microbiology letters.

[15]  M. Curk,et al.  Fourier transform infrared (FTIR) spectroscopy for identifying Lactobacillus species , 1994 .

[16]  A G Williams,et al.  Discrimination among Bacillus cereus, B. mycoides and B. thuringiensis and some other species of the genus Bacillus by Fourier transform infrared spectroscopy. , 1998, FEMS microbiology letters.

[17]  Thomas Udelhoven,et al.  Development of a Hierarchical Classification System with Artificial Neural Networks and FT-IR Spectra for the Identification of Bacteria , 2000 .

[18]  E. Stackebrandt,et al.  Cultivatable microbial biodiversity: gnawing at the Gordian knot. , 2000, Environmental microbiology.

[19]  Jean-Jacques Sanglier,et al.  Characterization and identification of actinomycetes by FT-IR spectroscopy , 1996 .

[20]  Wilfred H. Nelson,et al.  Instrumental Methods for Rapid Microbiological Analysis , 1985 .

[21]  D. Naumann,et al.  Classification and identification of bacteria by Fourier-transform infrared spectroscopy. , 1991, Journal of general microbiology.

[22]  D. Naumann,et al.  Investigating Microbial (Micro)colony Heterogeneity by Vibrational Spectroscopy , 2001, Applied and Environmental Microbiology.

[23]  Michael Seibold,et al.  Evaluation of Phenotypic Markers for Selection and Identification of Candida dubliniensis , 2000, Journal of Clinical Microbiology.

[24]  D. Naumann,et al.  Grouping of oral streptococcal species using Fourier-transform infrared spectroscopy in comparison with classical microbiological identification. , 1993, Archives of oral biology.