NDLI: Effects of three heavy metals on the bacteria growth kinetics: a bivariate model for toxicological assessment

Content Provider	Springer Nature Link
Author	Rial, Diego Vázquez, José Antonio Murado, Miguel Anxo
Copyright Year	2011
Abstract	The effects of three heavy metals (Co, Ni and Cd) on the growth kinetics of five bacterial strains with different characteristics (Pseudomonas sp., Phaeobacter sp. strain 27-4, Listonella anguillarum, Carnobacterium piscicola and Leuconostoc mesenteroides subsp. lysis) were studied in a batch system. A bivariate model, function of time and dose, is proposed to describe simultaneously all the kinetic profiles obtained by incubating a microorganism at increasing concentrations of individual metals. This model combines the logistic equation for describing growth, with a modification of the cumulative Weibull’s function for describing the dose-dependent variations of growth parameters. The comprehensive model thus obtained—which minimizes the effects of the experimental error—was statistically significant in all the studied cases, and it raises doubts about toxicological evaluations that are based on a single growth parameter, especially if it is not obtained from a kinetic equation. In lactic acid bacteria cultures (C. piscicola and L. mesenteroides), Cd induced remarkable differences in yield and time course of characteristic metabolites. A global parameter is defined (ED50,τ: dose of toxic chemical that reduces the biomass of a culture by 50% compared to that produced by the control at the time corresponding to its semi maximum biomass) that allows comparing toxic effects on growth kinetics using a single value.
Starting Page	1095
Ending Page	1109
Page Count	15
File Format	PDF
ISSN	01757598
Journal	Applied Microbiology and Biotechnology
Volume Number	90
Issue Number	3
e-ISSN	14320614
Language	English
Publisher	Springer-Verlag
Publisher Date	2011-03-01
Publisher Place	Berlin, Heidelberg
Access Restriction	Subscribed
Subject Keyword	Bacteria growth kinetics Logistic and Weibull equations Heavy metals Toxicity Dose–response modelling Biotechnology Microbiology Microbial Genetics and Genomics
Content Type	Text
Resource Type	Article
Subject	Medicine Applied Microbiology and Biotechnology Biotechnology

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