A novel fed-batch approach for the production of L-phenylalanine (L-Phe) with recombinant E. coli is presented concerning the on-line control of the key fermentation parameters glucose and tyrosine. Two different production strains possessing either the tyrosine feedback resistant aroF(fbr) (encoding tyrosine feedback resistant DAHP-synthase (3-desoxy-D-arabino-heptusonate-7-phosphate)) or the wild-type aroF(wt) were used as model systems to elucidate the necessity of finding an individual process optimum for each genotype. With the aid of tyrosine control, wild-type aroF(wt) could be used for L-Phe production achieving higher final L-Phe titers (34 g/L) than the aroF(fbr) strain (28 g/L) and providing higher DAHP-synthase activities. With on-line glucose control, an optimum glucose concentration of 5 g/L could be identified that allowed a sufficient carbon supply for L-Phe production while at the same time an overflow metabolism leading to acetate by-product formation was avoided. The process approach is suitable for other production strains not only in lab-scale but also in pilot-scale bioreactors.
Based on experimental results of eight fed-batch fermentations using a recombinant L-phenylalanine-producing Escherichia coli strain, the applicability of principal-component analysis (PCA) for fermentation analysis was studied. Three principal components were identi®ed, representing approximately 90% of total variance. Among them, concentrations of tyrosine and acetate were identi®ed as key fermentation parameters. Their signi®cance was also con®rmed when measurement errors were taken into consideration by Monte-Carlo estimations. The error estimation approach was also used to investigate PCA suitability for the time-speci®c analysis of different fermentation phases. Relatively large principal-component score errors were calculated that limit the applicability of PCA for detailed fermentation course analysis.
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