The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Classification and identification of bacteria by Fourier-transform infrared spectroscopy
Abstract
This study describes a computer-based technique for classifying and identifying bacterial samples using Fourier-transform infrared spectroscopy (FT-IR) patterns. Classification schemes were tested for selected series of bacterial strains and species from a variety of different genera. Dissimilarities between bacterial IR spectra were calculated using modified correlation coefficients. Dissimilarity matrices were used for cluster analysis, which yielded dendrograms broadly equated with conventional taxonomic classification schemes. Analyses were performed with selected strains of the taxa Staphylococcus, Streptococcus, Clostridium, Legionella and Escherichia coli in particular, and with a database containing 139 bacterial reference spectra. The latter covered a wide range of Gram-negative and Gram-positive bacteria. Unknown specimens could be identified when included in an established cluster analysis. Thirty-six clinical isolates of Staphylococcus aureus and 24 of Streptococcus faecalis were tested and all were assigned to the correct species cluster. It is concluded that: (1) FT-IR patterns can be used to type bacteria; (2) FT-IR provides data which can be treated such that classifications are similar and/or complementary to conventional classification schemes; and (3) FT-IR can be used as an easy and safe method for the rapid identification of clinical isolates.
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Cites
Smoothing and Differentiation of Data by Simplified Least Squares Procedures.
Savitzky, A., & Golay, M. J. E. (1964) · Analytical Chemistry · doi:10.1021/ac60214a047 · Cited by 21,904
Hierarchical Grouping to Optimize an Objective Function
Ward, J. H. (1963) · Journal of the American Statistical Association · doi:10.1080/01621459.1963.10500845 · Cited by 20,598
Bergey's Manual of Systematic Bacteriology
(1990) · Annals of Internal Medicine · doi:10.7326/0003-4819-112-5-391_3 · Cited by 15,601
Bergey's Manual of Systematic Bacteriology.
(1985) · Annals of Internal Medicine · doi:10.7326/0003-4819-102-1-151_3 · Cited by 4,886
Bergey's manual of systematic bacteriology
(1987) · Gene · doi:10.1016/0378-1119(87)90414-8 · Cited by 3,973
Miller, L. T. (1982) · Journal of Clinical Microbiology · doi:10.1128/jcm.16.3.584-586.1982 · Cited by 1,100
Cluster Analysis Algorithms for Data Reduction and Classification of Objects
Ling, R. F. (1981) · Technometrics · doi:10.1080/00401706.1981.10487693 · Cited by 417
Naumann, D., Fijala, V., Labischinski, H., & Giesbrecht, P. (1988) · Journal of Molecular Structure · doi:10.1016/0022-2860(88)80152-2 · Cited by 144
Self-citation5 Microbial Systematics Based on Electrophoretic Whole-Cell Protein Patterns
Jackman, P. J. H. (1988) · Methods in microbiology · doi:10.1016/s0580-9517(08)70411-2 · Cited by 59
Clostridium tetanomorphum sp. nov., nom. rev.
Wilde, E., Hippe, H., Tosunoglu, N., Schallehn, G., HERWIG, K., & Gottschalk, G. (1989) · International Journal of Systematic Bacteriology · doi:10.1099/00207713-39-2-127 · Cited by 28
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Report of the ad hoc committee for the re-evaluation of the species definition in bacteriology.
Stackebrandt, E., Frederiksen, W., Garrity, G. M., Grimont, P. A. D., Kämpfer, P., Maiden, M. C. J., Nesme, X., Rosselló-Mora, R., Swings, J., Trüper, H. G., et al. (2002) · International Journal of Systematic and Evolutionary Microbiology · doi:10.1099/00207713-52-3-1043 · Cited by 1,540
Phenotypic Characterization and the Principles of Comparative Systematics
Tindall, B. J., Sikorski, J., Smibert, R. A., & Krieg, N. R. (2014) · Methods for General and Molecular Microbiology · doi:10.1128/9781555817497.ch15 · Cited by 962
Spectral pre-processing for biomedical vibrational spectroscopy and microspectroscopic imaging
Lasch, P. (2012) · Chemometrics and Intelligent Laboratory Systems · doi:10.1016/j.chemolab.2012.03.011 · Cited by 353
Effect of Alumina Release Rate on the Mechanism of Geopolymer Gel Formation
Hajimohammadi, A., Provis, J. L., & van Deventer, J. S. J. (2010) · Chemistry of Materials · doi:10.1021/cm101151n · Cited by 314
Levin, I. W., & Bhargava, R. (2005) · Annual Review of Physical Chemistry · doi:10.1146/annurev.physchem.56.092503.141205 · Cited by 300
Metadata
- Authors
- Helm, D., Labischinski, H., Schallehn, G., & Naumann, D.
- Venue
- Microbiology
- Publisher
- Microbiology Society
- Published
- 1991-01-01
- Volume
- 137
- Issue
- 1
- Pages
- 69-79
- ISSN
- 1350-0872 (ISSN-L)
- 1465-2080
- OpenAlex
- W2154830597
- Cited by
- 640
- References
- 11
- FWCI
- 6.92
- Type
- journal article
- Language
- en
- Open access
- closed
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- Helm, D., Labischinski, H., Schallehn, G., & Naumann, D. (1991). Classification and identification of bacteria by Fourier-transform infrared spectroscopy. Microbiology. https://doi.org/10.1099/00221287-137-1-69
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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