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Real-time monitoring and control of the specific growth rate in yeast fed-batch cultures based on process analytical technology tools such as biocalorimetry or spectroscopy

机译:基于过程分析技术工具(如生物量热法或光谱学)实时监测和控制酵母补料分批培养中的特定生长速率

摘要

Key features of bioprocesses, such as product quantity and quality, but also cell physiology can be related to the growth characteristics of the organism under study. The specific growth rate, a key variable, cannot be measured directly, but might be estimated and inferred from other measurable variables such as biomass, substrate or product concentrations. The present thesis reviews techniques for real-time estimation and control of the specific growth rate in microbial fed-batch cultures by focusing on its importance in the development of processes for the production of high-value products such as recombinant proteins. Existing models and monitoring techniques are discussed before comparing two particular approaches, developed within the scope of this thesis, to estimate the biomass concentration and the specific growth rate of yeast cells in real-time, based on spectroscopic methods on the one hand and on heat flow measurements on the other. Particular emphasis is given to changes that need to be undertaken when adapting the initial strategy, developed for a process with Kluyveromyces marxianus, to different type of yeast cells such as Candida utilis or Pichia pastoris or Saccharomyces cerevisiae. For both control strategies, controller errors of less than 20 % were achieved, allowing ton control the specific growth rate of the four different yeast strains at a constant setpoint.
机译:生物过程的关键特征,例如产品的数量和质量,以及细胞生理学,都可能与所研究生物体的生长特征有关。特定增长率是一个关键变量,无法直接测量,但可以通过其他可测量变量(例如生物量,底物或产品浓度)进行估算和推断。本论文通过关注其在生产高价值产品(如重组蛋白)的过程中的重要性,回顾了实时估计和控制微生物分批补料培养中比生长速率的技术。在比较本论文范围内开发的两种特定方法之前,先讨论了现有的模型和监测技术,以一方面基于光谱方法,另一方面通过加热来实时估算酵母细胞的生物量浓度和比生长速率。流量测量另一方面。特别强调了在将针对马克斯克鲁维酵母的工艺开发的初始策略适应不同类型的酵母细胞(例如,假丝酵母​​或巴斯德毕赤酵母或酿酒酵母)时需要进行的改变。对于这两种控制策略,控制误差均小于20%,从而可以在恒定设定值下控制四种不同酵母菌株的比生长速率。

著录项

  • 作者

    Schuler Moira Monika;

  • 作者单位
  • 年度 2012
  • 总页数
  • 原文格式 PDF
  • 正文语种 en
  • 中图分类

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