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Comparison of methods for enumerating fluorescent bacteria.

W F McTernan, J C Adams, P A Rechard

    Applied Microbiology
    |January 1, 1974
    PubMed
    Summary
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    This study shows that both the most-probable-number (MPN) procedure and spread plating on modified Henrici agar yield comparable counts of fluorescent bacteria. These methods offer reliable quantification for bacterial enumeration in various applications.

    Area of Science:

    • Microbiology
    • Bacteriology
    • Analytical Methods

    Background:

    • Accurate enumeration of bacterial populations is crucial for environmental monitoring and industrial applications.
    • Traditional methods for quantifying bacteria, such as the most-probable-number (MPN) procedure, are widely used but can be labor-intensive.
    • Alternative methods are sought to provide comparable accuracy with potentially improved efficiency.

    Purpose of the Study:

    • To compare the efficacy of the most-probable-number (MPN) procedure with spread plating on modified Henrici agar for enumerating fluorescent bacteria.
    • To determine if modified Henrici agar provides a viable alternative for bacterial quantification.

    Main Methods:

    • Bacterial samples were analyzed using both the most-probable-number (MPN) procedure.

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  • Simultaneously, spread plates were prepared using modified Henrici agar for bacterial culture and enumeration.
  • Fluorescent bacterial counts were compared between the two methods.
  • Main Results:

    • Both the most-probable-number (MPN) procedure and spread plating on modified Henrici agar produced comparable numbers of fluorescent bacteria.
    • The results indicate that modified Henrici agar is effective for quantifying fluorescent bacterial populations.

    Conclusions:

    • Modified Henrici agar offers a reliable alternative to the most-probable-number (MPN) procedure for enumerating fluorescent bacteria.
    • This finding supports the use of spread plating on modified Henrici agar as an efficient method for bacterial quantification.