Antioxidant and lipoxygenase activities of polyphenol extracts from oat brans treated with polysaccharide degrading enzymes
Bibliographic record
Abstract
This study used polysaccharide degrading enzymes and protein precipitation to extract polyphenols from oats and to determine their bioactivity. Duplicate oat brans were treated with viscozyme (Vis), cellulase (Cel) or no enzyme (control, CTL) then, proteins were removed in one set (Vis1, Cel1, CTL1) and not in the other (Vis2, Cel2, CTL2). HPLC analyses showed that for cellulase treated brans, precipitation of proteins increased phenolic acids and avenanthramides by 14%. Meanwhile, a decreased of 67% and 20% respectively was found for viscozyme and control brans. The effect of protein precipitation on soluble polyphenols is therefore dependent of the carbohydrase, as proteins with different compositions will interact differently with other molecules. Radical scavenging data showed that Cel1 and Vis1 had higher quenching effects on ROO • radicals with activities of 22.1 ± 0.8 and 23.5 ± 1.2 μM Trolox Equivalents/g defatted brans. Meanwhile, CTL2 had the highest HO • radicals inhibition (49.4 ± 2.8%) compared to 10.8–32.3% for others. Samples that highly inhibited lipoxygenase (LOX), an enzyme involved in lipid oxidation were Cel1 (23.4 ± 2.3%) and CTL1 (18 ± 0.4%).
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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".