Literature DB >> 3729396

Two approaches to modeling kinetics of biodegradation by growing cells and application of a two-compartment model for mineralization kinetics in sewage.

S Simkins, R Mukherjee, M Alexander.   

Abstract

The patterns of microbial mineralization of 0.3 to 30 ng of glucose, benzoate, and phenol per ml of sewage collected in late fall and winter were analyzed with the integrated Monod equation and a model in which growth of active organisms occurs at the expense of organic compounds other than the test substrate. Either model could be closely fit by nonlinear regression to the data from individual tests with one concentration of substrate added to one dilution of sewage. However, neither model accounted satisfactorily for differences in patterns of mineralization resulting from differences in substrate concentration and cell density between different tests. It is suggested that both the added substrates and other organics present in sewage contributed to the growth of the active organisms. The mineralization of glucose in sewage collected in summer was better described by a two-compartment model than by any other model tested.

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Year:  1986        PMID: 3729396      PMCID: PMC239037          DOI: 10.1128/aem.51.6.1153-1160.1986

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  11 in total

1.  Deterministic three-half-order kinetic model for microbial degradation of added carbon substrates in soil.

Authors:  W Brunner; D D Focht
Journal:  Appl Environ Microbiol       Date:  1984-01       Impact factor: 4.792

2.  Second-order model to predict microbial degradation of organic compounds in natural waters.

Authors:  D F Paris; W C Steen; G L Baughman; J T Barnett
Journal:  Appl Environ Microbiol       Date:  1981-03       Impact factor: 4.792

3.  Kinetics and extent of mineralization of organic chemicals at trace levels in freshwater and sewage.

Authors:  R V Subba-Rao; H E Rubin; M Alexander
Journal:  Appl Environ Microbiol       Date:  1982-05       Impact factor: 4.792

4.  Fate of the benzene ring of linear alkylbenzene sulfonate in natural waters.

Authors:  R J Larson; A G Payne
Journal:  Appl Environ Microbiol       Date:  1981-03       Impact factor: 4.792

5.  Kinetics of mineralization of organic compounds at low concentrations in soil.

Authors:  K M Scow; S Simkins; M Alexander
Journal:  Appl Environ Microbiol       Date:  1986-05       Impact factor: 4.792

6.  Nonlinear estimation of the parameters of Monod kinetics that best describe mineralization of several substrate concentrations by dissimilar bacterial densities.

Authors:  S Simkins; M Alexander
Journal:  Appl Environ Microbiol       Date:  1985-10       Impact factor: 4.792

7.  Nonlinear estimation of Monod growth kinetic parameters from a single substrate depletion curve.

Authors:  J A Robinson; J M Tiedje
Journal:  Appl Environ Microbiol       Date:  1983-05       Impact factor: 4.792

8.  The effect of growth conditions on respiratory activity and growth efficiency in facultative anaerobes grown in chemostat culture.

Authors:  D E Harrison; J E Loveless
Journal:  J Gen Microbiol       Date:  1971-09

9.  Effects of dissolved organic carbon and second substrates on the biodegradation of organic compounds at low concentrations.

Authors:  S K Schmidt; M Alexander
Journal:  Appl Environ Microbiol       Date:  1985-04       Impact factor: 4.792

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

Authors:  S Simkins; M Alexander
Journal:  Appl Environ Microbiol       Date:  1984-06       Impact factor: 4.792

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  2 in total

1.  Monod's bacterial growth model revisited.

Authors:  J R Lobry; J P Flandrois; G Carret; A Pave
Journal:  Bull Math Biol       Date:  1992-01       Impact factor: 1.758

2.  Alternative nonlinear model for estimating second-order rate coefficients for biodegradation.

Authors:  J M Suflita; W J Smolenski; J A Robinson
Journal:  Appl Environ Microbiol       Date:  1987-05       Impact factor: 4.792

  2 in total

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