酶介导的指数式葡萄糖释放:在小规模种植中,用于连续定义的Fed-Batch的基于模型的策略
Annina Kemmer1, Linda Cai1, Stefan Born1
1Institute of Biotechnology, Chair of Bioprocess Engineering, Technische Universität Berlin, 13355 Berlin, Germany.
Bioengineering (Basel, Switzerland)
|February 23, 2024
概括
本研究介绍了一种基于模型的方法,用于精确控制微型化生物工艺中酶介导的葡萄糖释放. 这使得可控料批量种植成为可能,提高了小规模系统中的实验吞吐量.
科学领域:
- 生物技术是生物技术.
- 生物工艺工程 生物工艺工程
- 合成生物学 合成生物学
背景情况:
- 微型种植系统可以提高实验性吞吐量,但往往缺乏精确的料能力,用于料批处理.
- 从粉衍生物中酶介导的葡萄糖释放提供了连续的供应,但缺乏精确的控制料速率.
- 在小规模系统中实施受控养策略,如指数式养,仍然具有挑战性.
研究的目的:
- 开发一种基于模型的方法,用于精确控制在作物中酶介导的葡萄糖释放.
- 在小规模生物工艺开发中实现定义的连续料批处理.
- 克服在微型生物反应器中实现准确养的局限性.
主要方法:
- 将现有的数学模型集成到一个计算框架中.
- 控制葡萄糖释放的酶添加剂的计算设定值.
- 利用一个带有平行迷你生物反应器的机器人设施来培养大肠杆菌.
主要成果:
- 精确控制酶介导的葡萄糖释放.
- 在大肠杆菌培养过程中成功保持预定义的指数增长率.
- 展示了手动应用的方法的适应性.
结论:
- 拟议的基于模型的方法可以在小规模系统中直接和稳定地实现定义的连续料批次流程.
- 这种方法克服了以前在微型生物反应器中实现准确和可控养方面的局限性.
- 增强微型系统在生物工艺开发和实验吞吐量方面的实用性.
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