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Microbial detection method based on sensing molecular hydrogen.

J R Wilkins, G E Stoner, E H Boykin

    Applied Microbiology
    |May 1, 1974
    PubMed
    Summary
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    A new hydrogen evolution method rapidly detects bacteria like Enterobacteriaceae. The time to detect hydrogen gas correlates linearly with bacterial concentration, enabling quick identification in various samples.

    Area of Science:

    • Microbiology
    • Electrochemistry
    • Biosensing

    Background:

    • Accurate and rapid bacterial detection is crucial for clinical diagnostics, food safety, and environmental monitoring.
    • Existing methods can be time-consuming, requiring significant incubation periods.
    • The Enterobacteriaceae family is a common indicator group for microbial contamination.

    Purpose of the Study:

    • To develop and validate a simple, rapid method for detecting bacteria based on hydrogen evolution.
    • To establish the relationship between bacterial inoculum size and hydrogen detection time.
    • To assess the potential application of this method for identifying coliforms and other gas-producing microorganisms.

    Main Methods:

    • A test system comprising platinum and reference electrodes, a buffer amplifier, and a strip-chart recorder was utilized.

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  • Hydrogen evolution was measured as a change in cathodic voltage.
  • Bacterial samples from the Enterobacteriaceae group were tested to generate hydrogen response curves.

    • Main Results:

    • Hydrogen evolution was characterized by a lag period, a rapid potential increase, and a potential decline.
    • A linear correlation was found between bacterial inoculum size and the lag period before hydrogen detection.
    • Lag times varied from 1 hour (10^6 cells/ml) to 7 hours (10^0 cells/ml), with a 60-70 minute increase per 10-fold decrease in inoculum.

    Conclusions:

    • The hydrogen-sensing method offers a rapid and sensitive approach for bacterial detection.
    • The established linear relationship between inoculum size and lag time allows for quantitative assessment.
    • This technique shows significant potential for the rapid detection of coliforms and other gas-producing bacteria in diverse sample types.