文献类型：期刊文献

英文题名：Multiscale CFD-metabolic modeling reveals hybrid impeller configurations mitigate substrate and oxygen starvation in industrial bioreactors

作者：Gu, Qingfeng[1];Yu, Junxiong[1];Liu, Yongqiang[1];Wang, Yongbo[1];Zhuang, Yingping[1];Li, Chao[1,2]

机构：[1]East China Univ Sci & Technol, State Key Lab Bioreactor Engn, 130 Meilong Rd, Shanghai 200237, Peoples R China;[2]Suzhou Womei Biol Co Ltd, Suzhou 215614, Peoples R China

年份：2026

卷号：226

外文期刊名：BIOCHEMICAL ENGINEERING JOURNAL

收录：;EI(收录号：20254119298558);WOS:【SCI-EXPANDED(收录号:WOS:001594551600001)】；

基金：This work was supported by the Key R & D Program (Science and Technology Demonstration Project) program of Shandong Province, China [No. 2022SFGC0104] , National Natural Science Foundation of China [No. 22208099] .

语种：英文

外文关键词：Hybrid impeller configurations; Glucose starvation; Oxygen starvation; Stirred tank reactor; CFD modelling; Hydrodynamics

摘要：Industrial-scale aerobic fermentations face persistent challenges from spatiotemporal substrate and oxygen gradients, which impair microbial productivity during scale-up. To address this, we establish a multiscale Computational Fluid Dynamics (CFD)-metabolic modeling framework to evaluate hybrid radial-axial impeller configurations in a 156 m3 stirred tank reactor. Compared to homogeneous all-radial and all-axial systems, hybrid configurations maintain superior balance in gas-liquid mixing, mass transfer, and power consumption through synergistic flow interactions. Integrated metabolic regime analysis and Lagrangian particle tracking confirm that the hybrid radial-axial impeller configurations effectively alleviate glucose and dissolved oxygen starvation. Especially, the C-K-R-R configuration, which uses a CD-6 impeller at the bottom, an axial-flow KSX impeller on the second level, and two Rushton turbines above, demonstrates optimal performance with 41.1 % non-starvation zone coverage (3.3 times all-axial impeller configurations) and 64.9 % residence time (1.6 times all-radial impeller configurations). This work establishes a multiscale optimization framework bridging bioreactor hydrodynamics with microbial metabolism, providing actionable strategies for scaled-up bioprocess design and intensification of industrial fermentation systems.