Open AccessNOVEL MATHEMATICAL MODELS FOR PREDICTION OF MICROBIAL GROWTH KINETICS AND CONTAMINANT DEGRADATION IN BIOREMEDIATION PROCESS
Author(s) -
Azadeh Khoshdel,
Behrooz Mahmoodzadeh Vaziri
Publication year - 2016
Publication title -
journal of environmental engineering and landscape management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.514
H-Index - 28
eISSN - 1822-4199
pISSN - 1648-6897
DOI - 10.3846/16486897.2016.1142446
Subject(s) - bioremediation , bacterial growth , degradation (telecommunications) , process (computing) , biochemical engineering , biomass (ecology) , decomposition , pollutant , environmental science , substrate (aquarium) , microbial biodegradation , environmental chemistry , biological system , microorganism , environmental engineering , chemistry , computer science , ecology , engineering , contamination , biology , bacteria , telecommunications , genetics , organic chemistry , operating system
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.