Antioxidant Activity of Oat Bran Hydrolyzed Proteins in Vitro and in Vivo
Bibliographic record
Abstract
Oats contain molecules with well-known health benefits.Its fibers are used in different preparations to improve gastro-intestinal health and to reduce blood cholesterol.Avenanthramides, a group of phenolic antioxidants only present in oats have been demonstrated to be bioavailable in animals and humans.In recent years, proteins from foods have been viewed as not just sources of essential amino acids but also as sources of biologically active peptides (e.g.antioxidant, antihypertensive, antitumor).Antioxidant activities have been reported for hydrolyzed proteins from wheat, rice and corn byproducts but not for those from oats.The objective of this thesis was to investigate the antioxidant properties of hydrolyzed oat proteins in three different conditions (in vitro and in vivo).The first part of this thesis focusses on the activity of proteins extracted in the presence of salt and digested with trypsin (TPH) and alcalase (APH).The digests TPH and APH were ultra-filtered using 2kDa, and 10kDa molecular cutoff membranes.The radical scavenging properties were determined by 2,2-diphenyl-1-picrylhydrazyl (DPPH) and oxygen radical absorbance assay (ORAC).It was found that APH 2kDa was the strongest inhibitor (35%) of DPPH radicals and also TPH had a better peroxyl radical scavenging activity (ORAC) 434 ±16 µmol trolox equivalents (TE)/g) compared to APH (269±4 µmol TE/g) and TPH>2kDa (345±15 µmol TE/g).In the metal chelating assay, trypsin digest (TPH) better chelated Fe 2+ ions compared to APH and other fractions.The inhibition of linoleic acid autoxidation, showed that both trypsin and alcalase digests equally lowered the formation of lipid peroxides after five days of incubation.It appeared that trypsin hydrolysate and its ≤2kDa fraction possessed the strongest activities and may have application in food products. 2.9Hydroxyl radical (HO•) scavenging assay..................
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".