Increasing the Yield of Soluble Mustard Protein Isolate
Bibliographic record
Abstract
The objective of this study was to investigate methods for improving the yield of acid soluble mustard protein isolate (SPI) by solubilizing isoelectrically precipitated protein isolate (PPI). The SPI is more valuable, as it can be used in unique food applications. Four treatments were tested in the acidic pH range: Alcalase hydrolysis; transglutaminase cross-linking; salting in with NaCl, Na5P3O10, and (NaPO3)6; and protective colloid formation with pectin. The effectiveness of each treatment was determined by measuring the increase in nitrogen solubility (AOCS-Ba11-65). Alcalase hydrolysis improved PPI solubility evenly in the 2.5-3.5 pH range, effectively eliminating the solubility minimum near the isoelectric point. At pH 3, the hydrolysis treatment increased solubility from ~20% to a maximum of ~70% (0.04 g of enzyme preparation / g PPI, 2 h, pH 8.5, 50-55oC). Protein hydrolysis during isolate production could increase the yield of SPI from 0.16 to 0.75 kg per kilogram of mustard protein.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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".