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Application of high‐throughput mini‐bioreactor system for systematic scale‐down modeling, process characterization, and control strategy development
Author(s) -
Janakiraman Vijay,
Kwiatkowski Chris,
Kshirsagar Rashmi,
Ryll Thomas,
Huang YaoMing
Publication year - 2015
Publication title -
biotechnology progress
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.572
H-Index - 129
eISSN - 1520-6033
pISSN - 8756-7938
DOI - 10.1002/btpr.2162
Subject(s) - bioprocess , bioreactor , throughput , process engineering , quality by design , process (computing) , process variable , scale up , computer science , scale (ratio) , engineering , chemistry , telecommunications , operations management , physics , organic chemistry , classical mechanics , quantum mechanics , chemical engineering , wireless , downstream (manufacturing) , operating system
High‐throughput systems and processes have typically been targeted for process development and optimization in the bioprocessing industry. For process characterization, bench scale bioreactors have been the system of choice. Due to the need for performing different process conditions for multiple process parameters, the process characterization studies typically span several months and are considered time and resource intensive. In this study, we have shown the application of a high‐throughput mini‐bioreactor system viz. the Advanced Microscale Bioreactor (ambr15 TM ), to perform process characterization in less than a month and develop an input control strategy. As a pre‐requisite to process characterization, a scale‐down model was first developed in the ambr system (15 mL) using statistical multivariate analysis techniques that showed comparability with both manufacturing scale (15,000 L) and bench scale (5 L). Volumetric sparge rates were matched between ambr and manufacturing scale, and the ambr process matched the pCO 2 profiles as well as several other process and product quality parameters. The scale‐down model was used to perform the process characterization DoE study and product quality results were generated. Upon comparison with DoE data from the bench scale bioreactors, similar effects of process parameters on process yield and product quality were identified between the two systems. We used the ambr data for setting action limits for the critical controlled parameters (CCPs), which were comparable to those from bench scale bioreactor data. In other words, the current work shows that the ambr15 TM system is capable of replacing the bench scale bioreactor system for routine process development and process characterization. © 2015 American Institute of Chemical Engineers Biotechnol. Prog. , 31:1623–1632, 2015