Effect of different growth conditions on the discrimination of three bacteria by pyrolysis gas-liquid chromatography

Gutteridge, C. S.; Norris, J. R.

doi:10.1128/aem.40.3.462-465.1980

Cited by 19 publications

(2 citation statements)

References 19 publications

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“…Comparable effects are known from the influences of food source 21 and differences in cell age. [22][23][24] At an elementary level, the formation of clusters by growth temperature from all bacterial samples, regardless of genus, means that some consistent pattern of dependence on temperature exists in all these bacteria and can be extracted in chemical characterizations. Such consistency, if identified, could be removed or stripped from data sets leaving chemical composition reflecting those constituents that are independent of growth temperature.…”

Section: Incomplete Classification Of Bacteria Due To Differences In ...mentioning

confidence: 99%

Constituents with independence from growth temperature for bacteria using pyrolysis-gas chromatography/differential mobility spectrometry with analysis of variance and principal component analysis

Prasad

Pierce

Schmidt

et al. 2008

Analyst

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Four bacteria, Escherichia coli, Pseudomonas aeruginosa, Staphylococcus warneri, and Micrococcus luteus, were grown at temperatures of 23, 30, and 37 degrees C and were characterized by pyrolysis-gas chromatography/differential mobility spectrometry (Py-GC/DMS) providing, with replicates, 120 data sets of retention time, compensation voltage, and ion intensity, each for negative and positive polarity. Principal component analysis (PCA) for 96 of these data sets exhibited clusters by temperature of culture growth and not by genus. Analysis of variance was used to isolate the constituents with dependences on growth temperature. When these were subtracted from the data sets, Fisher ratios with PCA resulted in four clusters according to genus at all temperatures for ions in each polarity. Comparable results were obtained from unsupervised PCA with 24 of the original data sets. The ions with taxonomic features were reconstructed into 3D plots of retention time, compensation voltage, and Fisher ratio and were matched, through GC-mass spectrometry (MS), with chemical standards attributed to the thermal decomposition of proteins and lipid A. Results for negative ions provided simpler data sets than from positive ions, as anticipated from selectivity of gas phase ion-molecule reactions in air at ambient pressure.

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Section: Incomplete Classification Of Bacteria Due To Differences In ...mentioning

confidence: 99%

Constituents with independence from growth temperature for bacteria using pyrolysis-gas chromatography/differential mobility spectrometry with analysis of variance and principal component analysis

Prasad

Pierce

Schmidt

et al. 2008

Analyst

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“…33 These are usually associated with variations, particularly when uncontrolled or unknown, in temperature of growth, 34 cell age, 35 and food sources. 18,[36][37][38] In the absence of rigorous control of these variations, fingerprint methods are disqualified since libraries are rendered unreliable from changes in the chemical components of bacteria. In the alternative approach of biomarker identification, chemicals specific to a bacterium even under controlled conditions must be identified often amid complex mixtures.…”

Section: Introductionmentioning

confidence: 99%

Analysis of bacteria by pyrolysis gas chromatography–differential mobility spectrometry and isolation of chemical components with a dependence on growth temperature

Prasad

Pierce

Schmidt

et al. 2007

Analyst

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Pyrolysis gas chromatography-differential mobility spectrometry (py-GC-DMS) analysis of E. coli, P. aeruginosa, S. warneri and M. luteus, grown at temperatures of 23, 30, and 37 degrees C, provided data sets of ion intensity, retention time, and compensation voltage for principal component analysis. Misaligned chromatographic axes were treated using piecewise alignment, the impact on the degree of class separation (DCS) of clusters was minor. The DCS, however, was improved between 21 to 527% by analysis of variance with Fisher ratios to remove chemical components independent of growth temperature. The temperature dependent components comprised 84% of all peaks in the py-GC-DMS analysis of E. coli and were attributed to the pyrolytic decomposition of proteins rather than lipids, as anticipated. Components were also isolated in other bacteria at differing amounts: 41% for M. luteus, 14% for P. aeruginosa, and 4% for S. warneri, and differing patterns suggested characteristic dependence on temperature of growth for these bacteria. These components are anticipated to have masses from 100 to 200 Da by inference from differential mobility spectra.

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Pyrolysis mass spectrometry of bacteria from infected human urine. I. Influence of culturing and antibiotics

Huff

Matsen

Windig

et al. 1986

Biol. Mass Spectrom.

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Curie-point pyrolysis mass spectrometry was performed on three bacterial isolates obtained from infected human urine using a novel, direct isolation method. Bacterial samples were analysed directly after isolation, as well as after free growth in broth and after exposure to solutions containing penicillin and gentamicin. The spectra of bacteria directly from urine showed no detectable contamination from urinary constituents. Discriminant analysis indicated genetic strain differences to be greater than the combined variances due to sample preparation or the growth phase. Characteristic biochemical changes related to growth or non-growth were detectable after only 2 h of incubation. The potential usefulness of pyrolysis mass spectrometry techniques for rapid susceptibility testing is discussed.

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Effect of different growth conditions on the discrimination of three bacteria by pyrolysis gas-liquid chromatography

Cited by 19 publications

References 19 publications

Constituents with independence from growth temperature for bacteria using pyrolysis-gas chromatography/differential mobility spectrometry with analysis of variance and principal component analysis

Constituents with independence from growth temperature for bacteria using pyrolysis-gas chromatography/differential mobility spectrometry with analysis of variance and principal component analysis

Analysis of bacteria by pyrolysis gas chromatography–differential mobility spectrometry and isolation of chemical components with a dependence on growth temperature

Pyrolysis mass spectrometry of bacteria from infected human urine. I. Influence of culturing and antibiotics

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