Use of cell bleed in a high cell density perfusion culture and multivariable control of biomass and metabolite concentrations
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract A main problem in controlling bioprocesses is the lack of manipulated variables. Batches and fed‐batches cannot be drained of the waste substances produced by the biomass. A chemostat (CSTR) may have the dilution rate as the manipulated variable, allowing a certain control over the biomass concentration with a risk, however, of washout if the dilution rate gets higher than the maximum growth rate. Perfusion processes with full biomass retention are somewhat similar to batches, as no steady state is really obtained until biomass growth is stopped by nutrient limitations. Cell bleed is often used in perfusions to improve the overall cell culture viability, and prevent accumulation of dead cells. However, use of the cell bleed stream as a manipulated variable for control has not yet received much attention. This paper's main contribution is the use of cell bleed as an additional degree of freedom in a multivariable control strategy for a perfusion culture. To add to the originality of the contribution, the control strategy used is multivariable nonlinear adaptive backstepping, which has never been used for a perfusion bioreactor. Results show a good performance of the controller, while the chosen set points actually correspond to perfusion operation. Copyright © 2006 Curtin University of Technology and John Wiley & Sons, Ltd.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| 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