Modeling interactions of Clostridium cadaveris and Clostridium sporogenes in anaerobic acidogenesis of glucose and peptone

[Display omitted] •Presence of multiple species and substrates affected degradation and growth.•Biokinetic parameters were estimated using Monod and SKIP model.•Multiple substrates presence led to both inhibition and enhancement of degradations.•A new interaction model was developed and validated us...

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Veröffentlicht in:Bioresource technology 2024-02, Vol.393, p.130099-130099, Article 130099
Hauptverfasser: Jannat, Md Abu Hanifa, Park, Sang Hyeok, Hwang, Seokhwan
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Sprache:eng
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Zusammenfassung:[Display omitted] •Presence of multiple species and substrates affected degradation and growth.•Biokinetic parameters were estimated using Monod and SKIP model.•Multiple substrates presence led to both inhibition and enhancement of degradations.•A new interaction model was developed and validated using experimental data. This study focuses on developing a mathematical model to assess interaction among acidogenic bacteria during the anaerobic degradation of two substrates. Clostridium cadaveris and Clostridium sporogenes were cultured in various combinations with glucose and peptone. Parameter estimates are given for both conventional Monod parameters from single substrate-single species cultures and sum kinetics with interaction parameters obtained from dual substrate-single species cultures. The presence of multiple substrates led to both inhibitory and enhancing effects on biodegradation rates for dual substrates compared to single substrate cultures. A new model of interspecies interaction was developed within the framework of Lotka-Volterra incorporating substrate interaction parameters, with a focus on accuracy, realism, simplicity, and biological significance. The model demonstrated competitive interaction for resource sharing and the additional non-linearity parameter eliminated the constraint of the linear relationship between growth rate and population density.
ISSN:0960-8524
1873-2976
DOI:10.1016/j.biortech.2023.130099