Identification of Sporulated and Vegetative Bacteria Using Statistical Analysis of Fourier Transform Mid-infrared Transmission Data
Authors: Foster, Nancy S.1; Thompson, Sandra E.; Valentine, Nancy B.; Amonette, James E.; Johnson, Timothy J.
Source: Applied Spectroscopy, Volume 58, Issue 2, Pages 46A-64A and 143-256 (February 2004) , pp. 203-211(9)
Publisher: Society for Applied Spectroscopy
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Abstract:
A combined mid-infrared spectroscopic/statistical modeling approach for the discrimination and identification, at the strain level, of both sporulated and vegetative bacterial samples is presented. Transmission mode spectra of bacteria dried on ZnSe windows were collected using a Fourier transform mid-infrared (FT-IR) spectrometer. Five Bacillus bacterial strains (B. atrophaeus 49337, B. globigii Dugway, B. thuringiensis spp. kurstaki 35866, B. subtilis 49760, and B. subtilis 6051) were used to construct a reference spectral library and to parameterize a four-step statistical model for the systematic identification of bacteria. The statistical methods used in this initial feasibility study included principal component analysis (PCA), classification and regression trees (CART), and Mahalanobis distance calculations. Internal cross-validation studies successfully classified 100% of the samples into their correct physiological state (sporulated or vegetative) and identified 67% of the samples correctly as to their bacterial strain. Analysis of thirteen blind samples, which included reference and other bacteria, nonbiological materials, and mixtures of both nonbiological and bacterial samples, yielded comparable accuracy. The primary advantage of this approach is the accurate identification of unknown bacteria, including spores, in a matter of minutes.Keywords: SPORES; VEGETATIVE; BACTERIA; BACILLUS; FOURIER TRANSFORM INFRARED SPECTROSCOPY; FT-IR; TRANSMISSION; CLASSIFICATION AND REGRESSION TREES; CART; SPECTROSCOPY; STATISTICAL ANALYSIS
Document Type: Research article
DOI: 10.1366/000370204322842940
Affiliations: 1: Pacific Northwest National Laboratory, P.O. Box 999, Richland, Washington 99352
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