Purification and identification of β-casein phosphopeptide (1-25)
Bibliographic record
Abstract
The β-casein phosphopeptide 1-25 (βCPP) is involved in calcium binding, cellular transduction, and dental remineralization. The objective of this work was to improve upon the original protocol commonly used for isolation of this phosphopeptide from β-casein. This method exploits the isoelectric point of β-casein fragments to selectively precipitate βCPP. The highest βCPP extraction yield reported to date with this protocol is 14.4±0.5% of theoretically available βCPP. The present work optimizes 2 steps in this procedure, namely the length of trypsin digestion and incorporation of cold acetone precipitation, to increase the yield to 32.3±5.4%. Reverse-phase HPLC indicated high purity of the isolate, whereas mass spectrometry confirmed 2 forms of the phosphopeptide: fragments 1-25 (87%) and 2-25 (13%). The adaptation of the existing protocol represents a significant improvement in extraction yield and facilitates preparation of larger amounts of high-purity βCPP for subsequent analysis and use in functional foods and other applications.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".