Improved isoelectric focusing chromatography on strong anion exchange media via a new model that custom designs mobile phases using simple buffers
Bibliographic record
Abstract
Isoelectric chromatofocusing (ICF), a mode of chromatography by which proteins are separated based on changes in their charge state with pH, is widely used at analytical scales and finding increasing interest in biologics manufacturing due to its exceptional resolving power. Here, a method is described for using simple monoprotic and diprotic buffers to create stable mobile phases for sample loading on a strong anion exchange column and for achieving an elution pH gradient of desired shape covering any pH range from pH 10.0 to 3. The buffers used are selected to satisfy cost constraints, and to permit facile detection of eluted biologics by UV spectroscopy and mass spectrometry. The method exploits a new model described here that combines multiple-chemical and adsorption-equilibria theory to enable in silico tailoring of elution pH profiles using mixtures of these simple buffers. It is shown to provide a versatile platform for optimizing and conducting ICF of protein mixtures on strong anion exchange media.
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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".