Cell Culture Engineering 2019
DOI: 10.1002/9783527811410.ch16
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Development and Qualification of a Cell Culture Scale‐Down Model

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Cited by 4 publications
(4 citation statements)
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“…While the experiment did not achieve a second steady state for these two bioreactors, and a complete dilution rate study was not attempted, it is clear from the limited data that the cascading linked bioreactors system is significantly more productive than the stand‐alone CSTRs for similar operating conditions. Although only modest productivities were achieved while operating as a stand‐alone CSTR without cell retention in the current work, recent public disclosures on standalone CSTRs for cell culture (Khattak et al, 2019) demonstrate the potential for significant improvement with optimization.…”
Section: Resultsmentioning
confidence: 67%
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“…While the experiment did not achieve a second steady state for these two bioreactors, and a complete dilution rate study was not attempted, it is clear from the limited data that the cascading linked bioreactors system is significantly more productive than the stand‐alone CSTRs for similar operating conditions. Although only modest productivities were achieved while operating as a stand‐alone CSTR without cell retention in the current work, recent public disclosures on standalone CSTRs for cell culture (Khattak et al, 2019) demonstrate the potential for significant improvement with optimization.…”
Section: Resultsmentioning
confidence: 67%
“…Continuous processes operating without cell retention have also been assessed. Originally evaluated decades ago (Hiller et al, 1991) continuous mammalian cell culture processes operating as simple continuous‐flow stirred tank reactors (CSTRs) have recently been found capable of delivering volumetric productivities comparable to fed‐batch with enough optimization (Khattak et al, 2019). Two CSTRs operating in series (or cascade) have also been explored as an option to optimize productivity (Bakker et al, 1996).…”
Section: Introductionmentioning
confidence: 99%
“…An approach most commonly followed is to statistically compare a group of runs from a manufacturing scale with a group of runs at a small scale performed at set-point conditions [18][19][20]. Various statistical techniques have been used for scale-down model qualification [21]. A disadvantage of these approaches is that they compare the scales only at set-point conditions and do not provide any insight as to whether the functional relationships between process parameters and quality attributes are the same.…”
Section: Introductionmentioning
confidence: 99%
“…This involves using a quality by design (QbD) approach where scaleindependent parameters such as specific power inputs (e.g., power per volume [P/V]) and mass transfer coefficients (k L a) (e.g., oxygen transfer) are conserved in larger bioreactors [10] and scale-down models. [11] Typically, bioprocess scientists choose one of these parameters and then select a bioreactor setting (e.g., stir speed) so that the bioprocess parameter is the same between small-and large-scale bioreactors. This can cause issues when developing a process across multiple scales from process development (e.g., 250 mL) to production (e.g., 2000 L).…”
Section: Introductionmentioning
confidence: 99%