Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 1984 Jun;47(6):1299-306.
doi: 10.1128/aem.47.6.1299-1306.1984.

Models for mineralization kinetics with the variables of substrate concentration and population density

Models for mineralization kinetics with the variables of substrate concentration and population density

S Simkins et al. Appl Environ Microbiol. 1984 Jun.

Abstract

The rates of mineralization of [14C]benzoate by an induced population of Pseudomonas sp. were measured at initial substrate concentrations ranging from 10 ng/ml to 100 micrograms/ml. Plots of the radioactivity remaining in the culture were fit by nonlinear regression to six kinetic models derived from the Monod equation. These models incorporate only the variables of substrate concentration and cell density. Plots of the mineralization kinetics in cultures containing low, intermediate, and high initial substrate concentrations were well fit by first-order, integrated Monod, and logarithmic kinetics, respectively. Parameters such as maximum specific growth rate, half-saturation constant, and initial population density divided by yield agreed between cultures to within a factor of 3.4. Benzoate mineralization by microorganisms in acclimated sewage was shown to fit logistic (sigmoidal), Monod, and logarithmic kinetics when the compound was added at initial concentrations of 0.1, 1.0, and 10 micrograms/ml, respectively. The mineralization of 10 micrograms of benzoate per ml in sewage also followed logarithmic kinetics in the absence of protozoa. It is concluded that much of the diversity in shapes of mineralization curves is a result of the interactions of substrate concentration and population density. Nonlinear regression with models incorporating these variables is a valuable means for analysis of microbial mineralization kinetics.

PubMed Disclaimer

References

    1. Appl Environ Microbiol. 1982 Sep;44(3):659-68 - PubMed
    1. J Gen Microbiol. 1971 Sep;68(1):35-43 - PubMed
    1. Appl Environ Microbiol. 1979 Oct;38(4):758-60 - PubMed
    1. Appl Environ Microbiol. 1980 Mar;39(3):559-65 - PubMed
    1. Appl Environ Microbiol. 1983 May;45(5):1453-8 - PubMed

Publication types