过程(计算)
生物制造
工艺工程
生物过程
连续生产
下游(制造业)
批处理
工艺优化
工艺设计
在制品
计算机科学
缩放比例
工程类
数学
过程集成
运营管理
操作系统
几何学
程序设计语言
环境工程
生物
遗传学
化学工程
作者
Ce Shi,Xujun Chen,Biao Jiao,Ping Liu,Shu-Ying Jing,Xue-Zhao Zhong,Ran Chen,Wei Gong,Dong‐Qiang Lin
标识
DOI:10.1016/j.chroma.2022.463532
摘要
Continuous process is a promising alternative for tradition batch process in biomanufacturing, which has higher productivity and lower material consumption. However, despite the maturation of necessary technologies for continuous process, there are few discussion about optimization of full continuous process. One possible reason is that the continuous process is such a complex and interacted process that the traditional experiment-based optimization approach is not sufficient anymore. To address that problem, the process simulation tool SuperPro Designer and continuous capture chromatography model were integrated into a model-assisted design platform for better development of continuous process. The influences of different continuous capture operation modes and sub-lot number under various upstream conditions were analyzed for pilot-scale production. The best combination of operation mode and sub-lot number were determined for the highest equipment utilization without any conflict. After the process optimization, the equipment utilization of continuous process was significantly improved to 27.3%. Then, a pilot-scale case study was carried out to validate the proposed approach. The results showed that the scaling up and process design of continuous process were successful. No time conflict and process failure happened and the final product met the release specification. Finally, the cost of goods was evaluated with SuperPro Designer, and the results showed a 17.4% cost reduction for optimized continuous downstream process compared to batch process, which is promoting for the future industrial applications.
科研通智能强力驱动
Strongly Powered by AbleSci AI