Phenolic Composition and Arabinoxylan Characterization of Pearled Barley Fractions
Bibliographic record
Abstract
ABSTRACT Background and Objectives Two hulless barley varieties (Peru‐35 and Roseland) were pearled into six fractions and analyzed for primary phenolic acids via HPLC, along with the arabinoxylan content and degree of substitution (arabinose to xylose (A/X) ratio) using gas chromatography. The distribution of the newly identified polyamine, N1,N8‐dicaffeoyl spermidine, in these barley varieties was reported. Findings The concentrations of ferulic and p‐coumaric acids in both varieties were highest in the outermost fraction and decreased progressively toward the endosperm fraction. The relative abundance of N1,N8‐dicaffeoyl spermidine was uniformly distributed among the intermediary fractions, with the highest levels observed in the aleurone‐containing fraction (F5) of Peru‐35 and in the pericarp‐containing fraction (F2) of Roseland. The arabinoxylan content decreased from the outer to inner fractions of the grains and was positively correlated with bound phenolic acid content. Conclusions This study provides insights into the distribution of phenolic acids and arabinoxylan content in pearled hulless barley fractions, contributing to the advancement of fortified food products. Significance and Novelty The distribution of N1,N8‐dicaffeoyl spermidine in barley is reported for the first time. This study elucidates the composition of pearled hulless barley fractions, enabling selection for functional food development based on the desired bioactive components.
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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".