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Correction for the inherent error in optical density readings.

J V Lawrence, S Maier

    Applied and Environmental Microbiology
    |February 1, 1977
    PubMed
    Summary
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    Uncorrected photometric readings underestimate bacterial cell density. A standard curve corrects these readings to accurate optical density values, enabling precise dry weight determination.

    Area of Science:

    • Microbiology
    • Biotechnology
    • Analytical Chemistry

    Background:

    • Photometric methods are commonly used to estimate bacterial cell density.
    • Uncorrected photometric measurements often deviate from actual cell density, especially at higher concentrations.
    • Accurate cell density quantification is crucial for various biological and industrial applications.

    Purpose of the Study:

    • To address the inaccuracy of uncorrected photometric bacterial cell density measurements.
    • To develop a method for converting raw photometric readings into reliable optical density values.
    • To establish a protocol for determining absolute bacterial dry weight from optical density.

    Main Methods:

    • Bacterial cell cultures were subjected to photometric analysis.

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  • A standard curve was generated by correlating uncorrected photometric readings with known cell densities or dry weights.
  • Optical density values were calculated using the standard curve.
  • Dry weight was determined through direct measurement and correlated with optical density.

    • Main Results:

    • Uncorrected photometric readings showed a non-proportional decrease relative to actual bacterial cell density and dry weight, except at very low levels.
    • A standard curve effectively converted photometric readings to proportional optical density values.
    • A single dry weight determination allowed for the conversion of optical density values to absolute dry weight.

    Conclusions:

    • A standard curve method is essential for accurate photometric determination of bacterial cell density.
    • This approach corrects for non-linear responses, providing reliable optical density measurements.
    • The established method enables precise quantification of bacterial biomass as dry weight.