Optical analysis of perfusion bioreactor cell concentration in an acoustic separator
Bibliographic record
Abstract
Automated monitoring of cell concentration in perfusion bioprocesses facilitates the maintenance of constant cell specific perfusion rates. However, most on-line measuring devices are relatively complex and foul as the culture progresses. A simple external optical sensor was developed using the transparent glass walls of acoustic separators for automated optical analysis of their contents. For each measurement, the separator was filled by an automated pumping system with triplicate representative bioreactor samples that were optically analyzed and the device returned to perfusion operation within approximately 1 or 2 min. Chinese hamster ovary cell concentrations, ranging from 5 x 10(5) to 2 x 10(7) cells/mL, were highly correlated (R(2) = 0.99) with the 90 degrees scattered light response. Since the device was operated externally, it did not complicate bioreactor sterilization or cleaning. Viability was not optically analyzed, but this information was not required between manual samples of a properly operated perfusion process. Using single-point recalibration based on routine off-line samples, this external optical system remained effective during a 4-month perfusion run, thus providing a non-invasive and easily maintained on-line cell concentration monitoring system to improve the control of perfusion bioreactors.
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.
How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".