Literature DB >> 320833

Detection of bacterial metabolites in spent culture media and body fluids by electron capture gas-liquid chromatography.

J B Brooks.   

Abstract

Electron capture gas-liquid chromatography, when used to analyze derivatized extracts of spent culture media and body fluids under specified conditions, holds promise as a tool for use by physicians, hospitals, and clinical laboratories in identifying certain diseases and disease-producing organisms. The detection of certain disease processes and the identification of disease-producing organisms are based on qualitative or large quantitative differences in EC-GLC profiles or a combination of both. Various practical procedures are given for extracting and derivatizing compounds, such as carboxylic acids, hydroxy acids, alcohols, amines, and nitrosamines. The characteristics of the parameters essential for successful analysis are discussed. Species and, in some cases, strains have been differentiated by comparing EC-GLC profiles. Metabolic products are affected by change in substrate. Media that can be reproduced from lot to lot are essential in some studies. The volatile components detected by EC-GLC in spent culture media consist mostly of bacterial metabolites, but the volatile compounds detected in body fluids may be bacterial metabolites, volatile components produced by the host in response to an infection, metabolites of cells associated with host defense, or a combination of two or more of these groups of compounds. The EC-GLC profiles obtained by analysis of synovial and cerebrospinal fluids appear to have good potential for use in diagnosing certain forms of arthritis and meningitis. Well-documented samples are essential to establishing EC-GLC profiles representative of a particular disease. A moderately priced computer would greatly aid in data processing and could be especially useful in compensating for minor changes in the retention times of peaks, which can occur as a result of column aging or when columns are renewed. An approach to the identification of components detected by EC-GLC, which makes use of electron capture gas chromatography-mass spectrometry, is presented.

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Year:  1977        PMID: 320833

Source DB:  PubMed          Journal:  Adv Chromatogr        ISSN: 0065-2415


  7 in total

1.  Electron capture gas-liquid chromatographic-mass spectral identification of acids produced by Neisseria meningitidis in a defined medium.

Authors:  C C Alley; J B Brooks; D S Kellogg
Journal:  J Clin Microbiol       Date:  1979-01       Impact factor: 5.948

2.  Metabolic analysis of serologically defined Neisseria meningitidis isolates by frequency-pulsed electron capture gas-liquid chromatography.

Authors:  J B Brooks; D S Kellogg; M E Shepherd; D E Craven
Journal:  J Clin Microbiol       Date:  1981-05       Impact factor: 5.948

3.  Electron capture gas-liquid chromatographic study of metabolites produced by some arthritic transudate-associated organisms in vitro and in vivo in rabbit models.

Authors:  J B Brooks; A R Melton
Journal:  J Clin Microbiol       Date:  1978-10       Impact factor: 5.948

4.  Rapid differentiation of the major causative agents of bacterial meningitis by use of frequency-pulsed electron capture gas-liquid chromatograph: analysis of acids.

Authors:  J B Brooks; D S Kellogg; M E Shepherd; C C Alley
Journal:  J Clin Microbiol       Date:  1980-01       Impact factor: 5.948

5.  Rapid differentiation of the major causative agents of bacterial meningitis by use of frequency-pulsed electron capture gas-liquid chromatography: analysis of amines.

Authors:  J B Brooks; D S Kellogg; M E Shepherd; C C Alley
Journal:  J Clin Microbiol       Date:  1980-01       Impact factor: 5.948

6.  Possible use of frequency-pulse-modulated electron capture gas-liquid chromatography to identify septic and aseptic causes of pleural effusions.

Authors:  J B Brooks; R B Craven; D Schlossberg; C C Alley; F M Pitts
Journal:  J Clin Microbiol       Date:  1978-08       Impact factor: 5.948

Review 7.  Volatile metabolites of pathogens: a systematic review.

Authors:  Lieuwe D J Bos; Peter J Sterk; Marcus J Schultz
Journal:  PLoS Pathog       Date:  2013-05-09       Impact factor: 6.823

  7 in total

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