在复杂的发酵系统中应用近红外光谱技术,以实现高效生产
Chen Yang1, Chen Lingli1, Guo Meijin1
1State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, 130 Meilong Road, P.O. box 329, Shanghai, 200237, People's Republic of China.
Bioresources and bioprocessing
|April 24, 2024
概括
近红外 (NIR) 光谱技术可以实时监测发酵过程. 这项技术精确地跟踪基质和产品,提高糖 (SG) 和脂 (SL) 的产量.
科学领域:
- 生物技术是生物技术.
- 分析化学 分析化学
- 工艺工程是过程工程.
背景情况:
- 发酵过程是动态的,需要实时监测代谢状态.
- 传统的监控方法可能是缓慢和侵入性的,限制了流程优化.
- 近红外 (NIR) 光谱为分析复杂的生物系统提供了一种非接触式方法.
研究的目的:
- 开发一个实时的,在线监测平台,使用NIR光谱进行发酵.
- 建立基板和产品等关键发酵参数的预测模型.
- 展示NIR的应用,以优化乳酸,脂 (SLs) 和糖酸盐 (SG) 的生产.
主要方法:
- 开发基于非接触NIR光谱的监测平台.
- 使用部分最小平方回归和内部交叉验证建立预测模型.
- 在复杂的环境中进行发酵验证,具有不同的类型和参数类型.
主要成果:
- 在复杂的发酵系统中,NIR模型在监测基质,产品和营养物质方面表现出高准确度和精度 (R2>0.98).
- 这些模型在均和多相同质系统中显示出良好的适用性.
- 使用NIR模型优化葡萄糖和油度增加了SG和SLs标位,分别为11.8%和26.8%.
结论:
- 尼尔光谱是复杂发酵过程实时监测和控制的可靠工具.
- 开发的NIR平台有助于提高有价值的生物分子的产量.
- 尽管初始成本很高,但NIR光谱对工业规模发酵应用具有重大潜力.
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