Real time optimization of fed-batch culture of recombinant yeast

  • 나정걸 ((주)에스티바이오텍 중앙연구소) ;
  • 김현한 (한국과학기술원 화학공학과) ;
  • 장용근 (한국과학기술원 화학공학과) ;
  • 정봉현 (생명공학연구원 생물분리공정 Research Unit)
  • Published : 2001.11.07

Abstract

A real time optimization algorithm for fed-batch cultures of recombinant yeast to determine the optimal substrate feed rate profile has been developed. Its development involved four key steps: (1) development of reliable adaptive model. (2) development of optimization algorithm. (3) design of on-line model update algorithm to be incorporated into the optimization algorithm and (4) experimental validation. A recombinant Saccharomyces cerevisiae producing human parathyroid hormone (hPTH) was chosen as the model strain. It was found to be very successful in maintaining cell growth and galactose consumption at leigh levels, thus resulting in significant improvements in the productivity (up to 2.1 times) and intact hPTH concentration (up to 1.5 times) compared with the case of an intermittent glucose and galactose, or galactose feeding.

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