使用双卡尔曼波器实时监测渐变色谱
Gusten Zandler-Andersson1, Daniel Espinoza1, Niklas Andersson1
1Division of Chemical Engineering, Department of Process and Life Science Engineering, Lund University, Lund, Sweden.
这项研究引入了双卡尔曼波器,用于实时染色体监测,改善了对具有非线性吸附的生物制药过程的状态估计. 这种新的方法提高了准确性,并使先进的控制策略成为可能.
科学领域:
- 生物工艺工程 生物工艺工程
- 分析化学 分析化学
- 染色体学 染色体学 是一种染色学.
背景情况:
- 实时状态估计增强生物制药下游流程监控.
- 卡尔曼过是一种常见的技术,但与非线性吸附等温相斗争.
- 准确的估计需要将机械模型与实时数据相结合.
研究的目的:
- 开发一种新的卡尔曼过方法,用于在非线性吸附的非恒定化条件下对染色学实时状态估计.
- 为了提高状态估计的准确性,超越单个模型预测或数据采集.
- 通过强大的实时估计,实现先进的过程控制应用程序.
主要方法:
- 应用双卡尔曼波器来估计吸附修饰剂,盐和分离组件的状态.
- 卡尔曼波器的离线调节使用离子交换分离的真实染色图数据.
- 调整的卡尔曼过器与染色分离并行实时验证.
主要成果:
- 与开放循环模型预测相比,调整的双卡尔曼波器将L2规范提高了53%.
- 该方法在5秒的信号采样频率下证明了实时的适用性.
- 实现了准确和强大的状态估计,优于单个方法.
结论:
- 双卡尔曼过提供了一个强大的解决方案,用于实时状态估计在色谱与非线性吸附.
- 这种方法显著提高了生物制药下游加工的监测准确性.
- 经过验证的方法为实时最佳聚合控制和其他先进应用铺平了道路.
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