Improvement of Biogas Production from Animal Manure via Bacteria Enrichment using CASCADE Technology

摘要

A machine learning system - Computer Assisted Strain Construction and Development Engineering, or CASCADE for short, was applied to identifying microorganisms and finding correlations based on predictive patterns between the organisms' genetic information and their metabolic behavior for selecting baterial strains of more effective phenotypes. Further demonstrated was a bioaugmentation method showing improvement of anaerobic digestion of cow manure for biogas production by adding bacteria selected usiing the CASCADE algorithm. The experiments showed that when compared to the traditional anaerobic digestion, biogas production of the groups with addition of selected bacterial strains increased by 50.3% and 36.2% respectively while the methane contents of biogas were nearly equal to the control. DGGE analysis showed addition of selected bacteria caused the difference of dominant bateria during the digestion process which was useful to the anaerobic digestion. The results showed that adding bacteria selected by CASCADE in the anaerobic digestion process is an effective way to increase biogas production from cow manure.