Fractionation of bovine serum albumin and monoclonal antibody alemtuzumab using carrier phase ultrafiltration
Bibliographic record
Abstract
Protein transmission and hence selectivity of separation can be significantly affected by solution pH and ionic strength in protein fractionation using ultrafiltration. Using parameter scanning ultrafiltration, the transmission of bovine serum albumin (BSA) and monoclonal antibody alemtuzumab (Campath-1H) through 300 kDa polyethersulfone (PES) ultrafiltration membranes were studied over a range of pH and salt concentrations, with focus on the likely conditions for achieving "reverse selectivity," i.e., obtaining purified alemtuzumab (approximately 155 kDa) in the permeate. Experimental results demonstrate that the reverse selectivity could be obtained by manipulating the operating conditions such as the solution pH, ionic strength, permeate flux, and system hydrodynamics. With a two-stage batch ultrafiltration process under suitable conditions, the monoclonal antibody alemtuzumab with a purity of > 98% was obtained in the permeate from a feed solution initially containing 0.50 g/l each of BSA and alemtuzumab. Further purity can be expected by selecting more suitable membranes and optimizing operating conditions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 source (direct Gemma or distilled Codex), 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".