Stabilization of oil-in-water emulsions via soy protein and soy soluble polysaccharide interactions
Bibliographic record
Abstract
The stabilizing behaviour of soluble soy polysaccharide (SSPS) on acidified dispersions of soy protein isolate (SPI) and SPI-stabilized emulsions was studied. SPI and SSPS suspensions were characterized via light scattering, surface charge measurement, turbidity, sedimentation analysis, and light microscopy. At acidic pH (pH 6-3), it was found the addition of at least 0.25 wt% SSPS was required to stabilize 0.75 wt% SPI suspensions against aggregation and phase separation, likely via steric repulsion. The mechanism of SPI-SSPS interaction was shown to be electrostatic in nature by testing the effects of increased ionic strength of the suspensions. The stabilizing effect of SSPS on SPI was then applied to 5% oil-in-water emulsions. The presence of SSPS stabilized the emulsions against droplet size increases and phase separation over time. Overall, the results demonstrated that it was possible for SSPS to stabilize SPI suspensions and that SPI-SSPS interactions may be used as a tool to stabilize O/W emulsions.
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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) | 0.000 | 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 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".