Phenolics of Selected Cranberry Genotypes (<i>Vaccinium macrocarpon</i> Ait.) and Their Antioxidant Efficacy
Bibliographic record
Abstract
Free, esterified, and bound phenolic fractions of berries from five different cranberry genotypes and two market samples were evaluated for their total phenolic, flavonoid, and monomeric anthocyanin contents as well as their antioxidant efficacy using TEAC, ORAC, DPPH radical, reducing power, and ferrous ion chelation capacity assays. HPLC-MS/MS analysis was performed for two of the rich sources (Pilgrim and wild clone NL2) of phenolics and high antioxidant activity. Among the genotypes, Pilgrim showed the highest phenolic and flavonoid contents and wild clones NL3 and NL2 showed the highest monomeric anthocyanin and proanthocyanidin content, respectively. Protocatechuic and syringic acids were detected only in Pilgrim, whereas luteolin 7-O-glucoside, quercetin 3-O-rhamnoside, quercetin 3-O-galactoside, proanthocyanidin B-type, and myricetin 3-O-galactoside were found in wild clone NL3 genotype. Moreover, proanthocyanin trimer A-type and dimer B-type predominated in the wild clone NL2, whereas proanthocyanidin dimer B and trimer A were predominant in Pilgrim.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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".