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[工业生物过程智能控制的进展]

[Progress in intelligent control of industrial bioprocess].

作者信息

Tian Xiwei, Wang Guan, Zhang Siliang, Zhuang Yingping

机构信息

School of Biotechnology, East China University of Science and Technology, Shanghai 200237, China.

National Center of Bio-Engineering & Technology (Shanghai), Shanghai 200237, China.

出版信息

Sheng Wu Gong Cheng Xue Bao. 2019 Oct 25;35(10):2014-2024. doi: 10.13345/j.cjb.190240.

Abstract

Industrial bioprocess is a complex systematic process and bio-manufacturing can be realized on the basis of understanding the metabolism process of living cells. In this article, the multi-scale optimization principle and practice of industrial fermentation process are reviewed, including multi-scale optimizing theory and equipment, on-line sensing technology for cellular macroscopic metabolism, and correlated analysis of physiological parameters. Furthermore, intelligent control of industrial bioprocess is further addressed, in terms of new sensing technology for intracellular physiological metabolism, big database establishment and data depth calculation, intelligent decision.

摘要

工业生物过程是一个复杂的系统过程,生物制造可以在理解活细胞代谢过程的基础上实现。本文综述了工业发酵过程的多尺度优化原理与实践,包括多尺度优化理论与设备、细胞宏观代谢的在线传感技术以及生理参数的关联分析。此外,还从细胞内生理代谢的新型传感技术、大数据库建立与数据深度计算、智能决策等方面进一步探讨了工业生物过程的智能控制。

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