Methodology for the optimal design of an integrated first and second generation ethanol production plant combined with power cogeneration

Exergy analysis for docosahexaenoic acid production by fermentation and strain improvement by adaptive laboratory evolution for Schizochytrium sp

Exergy analysis is powerful tool for process optimization and mechanism analysis. In this study, exergy analysis was performed for docosahexaenoic acid (DHA) fermentation process. More than 86% of input exergy was contributed by glucose. The exergy of biomass was about 64.66% of the total output exergy when the phosphate concentration was 4 g L^-1. The exergy efficiencies of DHA (η_DHA) for the starting strains and the evolved strains under high oxygen concentration, low temperature, and two-factor conditions were also investigated. The η_DHA in the collected experimental data was not more than 20.9%. It was proved that there was a positive correlation between η_DHA and the biomass yield. It was indicated that adaptive laboratory evolution (ALE) improved biomass yield which had the most important effect on enhancing η_DHA and DHA yield (or DHA productivity). It is necessary to improve η_DHA through process optimization and ALE in future.