Effect of ultrasound pre-treatment on formation of transglutaminase-catalysed soy protein hydrogel as a riboflavin vehicle for functional foods
Bibliographic record
Abstract
High intensity ultrasound (HIU) treated soy protein isolate (SPI) and non-HIU-treated SPI were cross-linked by transglutaminase to form hydrogels. SDS-PAGE showed that HIU increased the amount of high molecular weight aggregates, likely due to the formation of ε-(γ-glutamyl) lysine bonds. Moreover, HIU pretreatment increased the hydrophobic nature of transglutaminase gels as demonstrated by FT-Raman. HIU changed the 3D-network structure of transglutaminase induced SPI gel with riboflavin (TSGR). Furthermore, 40 min HIU increased gel yield, riboflavin encapsulation efficiency and gel strength of TSGR. HIU decreased swelling and protein erosion of TSGR in simulated gastrointestinal fluids. It also resulted in reduced riboflavin release rate and altered the release mechanism in simulated gastrointestinal fluids both in the absence and presence of digestive enzymes. In conclusion, HIU may facilitate covalent cross-linking, increase hydrophobicity and change the 3D network of TSGR, leading to differences in hydrogel stability, as well as riboflavin encapsulation and release profiles.
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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".