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An important component in microbiological testing is time, usually presented in terms of exposure time. A good example is the exposure of microorganisms to certain topical antimicrobials over discrete time periods to determine the rate of inactivation, known as the D-value, which is the time to reduce the initial microbial population by one log10 – that is, a tenfold reduction.

A regression analysis is appropriate when two variables, y and x, are related. y is termed the dependent variable (population of microorganisms), and x, the independent variable (an incremental time component). The dependent variable, y, is the quantitative measured response when the independent variable, x, is set at various levels or points. For example, take the case of a certain microbial population level of Staphylococcus aureus, the dependent variable, when exposed to a 10% povidone iodine solution for different time intervals, the independent variable. The independent variable (exposure time) might be...

Keywords

Regression Slope Povidone Iodine Perfect Correlation Power Scale Linearize Data 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer Science+Business Media, LLC 2008

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