Effect of glycosylated processing on functional properties of mung bean protein isolate
Bibliographic record
Abstract
In order to explore functional properties of mung bean protein isolate by glycosylated processing,the degree of grafting,infrared spectroscopy,as well as solubility,emulsification and emulsion stability,foaming and foaming stability were investigated. The results demonstrated that compared to maltose,the grafting degree of the resulting reaction product by using glucose was higher than the maltose,and it was easier to react. Infrared spectroscopy showed sugar and protein covalent complexes were generated. The content of α-helix andβ-turn structure increased,while the other two structures decreased. The solubility of mung bean protein isolate after glycosylation was improved,and the result with glucose was better than that with maltose. The emulsifying activity and emulsion stability of mung bean protein isolate after glycosylation were improved,and the reaction with maltose had better results. The foaming and foam stability of mung bean protein isolate after glycosylation were improved,and the effect of glucose was more pronounced.
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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".