Study on the preparation and the effect of pH of soy protein isolate-phospholipid complex emulsion system
Bibliographic record
Abstract
The soybean as raw material,alkaline extraction and acid precipitation were employed to produce soy protein isolate.The composite emulsion system was prepared with the soy protein isolate,soybean phosphatide and sunflower oil by the action of homogeneous machine.By single factor test,the emulsion preparation parameters were determined as soy protein isolate:phospholipid(w/w)=10∶1,aqueous phase:oil phase(v/v)= 3∶1,soy protein isolate content was 10mg/mL,homogenization time was 30s,the speed of homogenization was 20000r/min.Different pH buffers handling complex emulsion system were selected for emulsifying activity,emulsion stability,particle size analysis and microscopy,the soy protein isolate-phospholipid complex emulsion system was stability at pH≥7.
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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 | 0.001 |
| 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 | 0.001 |
| 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".