Optimization of the Process of Air Purification from Dichloromethane in a Biofilter with an Irrigated Layer by Mathematical Modeling

Abstract

Methods for design of biocatalysts based on modeling and subsequent experimental verification of the model allow maximal use of the destructive potential of a consortia of microorganisms to optimize the functioning of biological filters used in the purification of gas-air emissions of industrial enterprises from volatile halogenated compounds such as dichloromethane. For an increase in the duration and efficiency of biofilters’ operation a systematic approach using methods of system biology and computer mathematical modeling is proposed. The application of this approach allowed us to consider complex regulatory interactions and the entire spectrum of metabolic features of the biological system. Simulation of the air purification process made it possible to select effective regimes in which the conversion of dichloromethane reached 90% at an inlet concentration of 100 mg/m³ and 50–60% at an inlet concentration up to 500 mg/m³.