Salt-tolerant cation exchange HD-Sb hydrogel membrane: mAb purification performance in flowthrough mode
Bibliographic record
Abstract
Natrix wishes to thank its industrial collaborators for testing NatriPur and NatriFlo products Natrix Separations, Inc. 5295 John Lucas Drive Unit 6, Burlington, ON L7L 6A8 Canada 1.905.319.2682, info@natrixseparations.com Development of Protein A based purification platforms have simplified the downstream processing of monoclonal antibodies (mAb), the largest component of biopharmaceuticals. The ever increasing titer of the cell culture process is putting more pressure on the downstream process to further increase its productivity. The classical Protein A based mAb purification platform consists of two polishing steps, bind and elute cation-exchanger and flowthrough anion-exchanger. Cation-exchange chromatography is very efficient at the separation of HCP, leached Protein A and product-related impurities such as aggregates and fragments in bind and elute mode. However, anion-exchange chromatography is a proven technology to remove DNA, viruses, endotoxins and HCP in flowthrough mode. This study compares bind and elute mAb purification performance with that in flowthrough mode for the Natrix HD-Sb hydrogel membrane. Natrix HD-Sb is a salt-tolerant strong cation-exchange membrane augmented with hydrophobic butyl groups. This study demonstrates the effectiveness of Natrix HD-Sb chemistry in removing aggregates and HCP from challenging feed at high load with significant improvement in productivity and simplicity. The flowthrough separation performance of Natrix HD-Sb around neutral pH will be highlighted to show the potential of having tandem polishing steps (cation-exchange a anion-exchange) without needing any pH or conductivity adjustment. This tandem membrane approach has the potential for streamlining the downstream process for increased productivity & process efficiency.
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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) | 0.001 | 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".