Physicochemical properties and antioxidant activity of Maillard reaction products from pig bone protein hydrolysate and reducing sugar model system
Bibliographic record
Abstract
This study mainly investigated the effect of Maillard reaction modification on physicochemical properties and antioxidant activity of pig bone protein hydrolysate,Maillard reaction products were prepared by heating mixture of the pig bone protein hydrolysate and reducing sugars(D-glucose,D-fructose,D-galactose) at ratio 1:1 for 0～6 h,in 95 ℃ water bath.And physicochemical properties and antioxidant activity were also determined.The results showed that,as heating time increased,the pH value,free amino group content of the model systems were significantly decreased(P0.05),intermediate products(A294 nm) and browning products(A420 nm) were significantly increased(P0.05),and the antioxidant activity of MRPs were significantly increased(P0.05) which indicated by reducing power,ABTS radical and hydroxide radical scavenging activity.MRPs derived from pig bone protein hydrolysate and D-galactose model system rendered the highest intermediate and browning products,and also possessed greater reducing power,ABTS radical and hydroxide radical scavenging activity in the three systems.Generally,type of reducing sugars had a remarkable influence on the cross-linking of proteins via glycation,which might be associated with antioxidative activity of MRPs.
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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) | 0.001 | 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".