Novel mathematical models for prediction of microbial growth kinetics and contaminant degradation in bioremediation process

Bioremediation is defined as a process, which involves decomposition of organic pollutant compounds available in soil and water resources into safe and eco-friendly materials, like water and CO2, by the microorganisms. In the present article, mathematical modeling of the bioremediation process was c...

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Bibliographic Details
Published in:	Journal of environmental engineering and landscape management Vol. 24; no. 3; pp. 157 - 164
Main Authors:	Khoshdel, Azadeh, Mahmoodzadeh Vaziri, Behrooz
Format:	Journal Article
Language:	English
Published:	Taylor & Francis 02-07-2016 Vilnius Gediminas Technical University
Subjects:	Bioremediation Consumption contaminant degradation Contaminants environmental processes modeling Mathematical models microbial growth kinetic Microorganisms Rate constants simulation Soil pollution Substrates
Online Access:	Get full text
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Summary:	Bioremediation is defined as a process, which involves decomposition of organic pollutant compounds available in soil and water resources into safe and eco-friendly materials, like water and CO2, by the microorganisms. In the present article, mathematical modeling of the bioremediation process was conducted comprehensively, and new models proposed for the microbial growth kinetics and substrate consumption (contaminant degradation). Accordingly, six kinetic models were suggested for the biomass growth and six models for the substrate consumption. Moreover, two models were considered for specific growth rate constant of the microorganisms. Then, model predictions were compared to and validated by the available experimental data in the literature. According to the obtained results, the microbial growth kinetic model, entitled as "MVKH2", the substrate (contaminant) consumption model, entitled as "MVKH2s", and the Aiba specific growth rate constant model had the best performance and the least error value in predicting the bioremediation process. Results achieved from this study are a promising beginning for practical and experimental works.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	1648-6897 1822-4199
DOI:	10.3846/16486897.2016.1142446