Effect of soy protein subunit composition and processing conditions on physicochemical properties of soymilk
Bibliographic record
Abstract
This study was conducted to examine the effect of processing conditions (heating and homogenization combined with heating) and soy protein composition (by using selected Ontario soybean genotypes) on the colloidal structure of soymilk. The results revealed that heat treatment disrupted and denatured the large aggregates of soy proteins and decreased the particle size distribution of soymilk. Soymilks made from genotypes containing glycinin (11S) or group I (A 1, A2) of glycinin showed the larger loss in both protein and total solids compare to lines null in 11S. Unheated soymilks prepared from lines null for glycinin or lacking group I showed smaller particle size distribution. The protein subunit composition and ratio of 11S/7S had a significant effect on the development of soymilk gel structure. The gels made from lines containing group I (A1, A2) and group IIb (A3) of glycinin showed stiffer gels compare to the lines null in 11S. Results of this study can help to develop specific new soybean lines to meet consumer and industrial needs.
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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) | 0.001 | 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".