Transglutaminase mediated cross-linking of peanut and buckwheat proteins under dual-frequency ultrasound field: Functional attributes study
Bibliographic record
Abstract
Peanut protein (PP)/buckwheat protein (BWP) mixture crosslinked by transglutaminase (TGase) under dual-frequency ultrasound (DFU) field was developed and its structural and functional properties were characterized. The results showed that the optimal DFU parameters for PP-BWP crosslinking were 25 kHz/40 kHz dual-frequency ultrasound working time ratio of 10:10 (s/s), a temperature of 45°C, ultrasonic power density of 125 W/L and time duration of 30 min, resulting in the degree of crosslinking (DC) of 37.7 %, which is 125 % higher than that of the control. The solubility at pH 7.0, oil-holding capacity, and emulsifying capacity of the protein aggregate (peanut protein-buckwheat protein crosslinked by TGase under dual-frequency ultrasound, U-TG-PP-BWP) was significantly (P<0.05) improved compared with protein aggregates formed without ultrasound (TG-PP-BWP); however, the emulsion stability, foaming capacity and form stability decreased. Secondary structure analysis indicated no apparent difference between un-crosslinked protein and U-TG-PP-BWP. After ultrasound treatment, the α-helix decreased by 11.2 % and the β-sheet, β-turn and random coil increased by 7.7 %, 3.4 % and 4.7 %, respectively, in U-TG-PP-BWP compared to TG-PP-BWP. The microstructures showed that U-TG-PP-BWP formed a lamellar structure with many micropores while TG-PP-BWP aggregated into large and tight blocks. SDS-PAGE analysis showed that, compared to PP and BWP, the subunit bands of cross-linked TG-PP-BWP and U-TG-PP-BWP were altered at 14.4–116 kDa, yielding proteins larger than 116 kDa, suggesting covalent cross-linking of the two proteins. In conclusion, the enzymatic cross-linking of proteins can be promoted by DFU, providing a new approach to developing novel plant proteins.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".