Scale‐up of controlled‐shear affinity filtration using computational fluid dynamics
Why this work is in the frame
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Bibliographic record
Abstract
Controlled shear affinity filtration (CSAF) is an integrated bioprocess that positions a contoured rotor above a membrane affinity chromatography column to permit the capture and purification of a secreted protein product directly from cell culture. Here, computational fluid dynamics (CFD) simulations previously used on a laboratory-scale unit (Francis et al., Biotechnol. Bioeng. 2005, 95, 1207-1217) are extended to study the fluid hydrodynamics and expected filter performance of the CSAF device for rotor sizes up to 140 cm in radius. We show that the fluid hydrodynamics within the rotor chamber of larger-scale CSAF units are complex and include turbulent boundary layers; thus, CFD likely provides the only reliable route to CSAF scale-up. We then model design improvements that will be required for CSAF scale-up to permit processing of industrial feedstock. The result is the in silico design of a preparative CSAF device with an optimized rotor 140 cm in radius. The scaled up device has an effective filtration area of 5.93 m(2), which should allow for complete processing in ca. 2 h of 1000 L of culture harvested from either a perfusion, fed-batch or batch bioreactor. Finally, a novel method for the parallelization of CSAF units is presented for use in bioprocessing operations larger than 1000 L.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it