Low‐density lipoprotein oxidation inhibition by anthocyanins of wild blueberries
Bibliographic record
Abstract
Abstract The use of natural compounds to prevent oxidative damage in biological systems is becoming increasingly popular. Blueberries have been of specific interest because of their high antioxidant capacity. Anthocyanins were extracted from berries of Vaccinium angustifolium Aiton and Vaccinium myrtilloides Michaux at 79 °C in acidified ethanol with phosphoric acid as a solvent using a liquid/solid ratio of 10. Extracted anthocyanins were purified on a C‐18 silica‐packed column and analyzed by HPLC coupled to electrospray ionization mass spectrometry. Of the six common anthocyanidins, five were identified in the extracts, namely delphinidin, cyanidin, peonidin, petunidin, and malvidin, while pelargonidin was not found. The free radical scavenging effects of anthocyanins were evaluated using N,N‐dimethyl‐p‐phenylenediamine method as well as their potential to mitigate in vitro low‐density lipoprotein (LDL) oxidative damage. After 6 h of incubation, the oxidation products formation such as that of conjugated dienes, trienes, and hexanal was inhibited up to 60 %. Based on these data, we concluded that anthocyanins from V. angustifolium and V. myrtilloides of Quebec possess the ability to inhibit in vitro LDL oxidation.
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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".