Bioaccessibility of ferulic acid in hulless barley varieties at stages of simulated in vitro digestion
Bibliographic record
Abstract
Abstract Background and Objectives Ferulic acid has antioxidant, anti‐inflammatory, and antimicrobial activity. Ferulic acid in barley is present in esterified form in the bran layer, however, only the free form is bioaccessible in the upper gastrointestinal tract. The objectives of this study were to investigate the bioaccessibility of ferulic acid at four stages of simulated gastrointestinal digestion of two barley varieties to determine when ferulic acid is released and investigate factors which may affect the release of ferulic acid including digestive enzymes and pH. Findings The release of ferulic acid was strongly influenced by digestive enzymes and minimally by pH. The presence of enzymes reduced free ferulic acid but increased the amount of esterified ferulic acid. The major release of esterified ferulic acid occurred during the final hour of small intestinal digestion. The amount of bioaccessible ferulic acid remained constant throughout digestion. The bran thickness, measured by microCT imaging, significantly differed between the varieties. Conclusion During digestion, ferulic acid changed structurally, as observed by the changes in the amount of free and esterified ferulic acid at four digestion timepoints. The release of ferulic acid was strongly influenced by exposure to digestive enzymes and minimally by pH, although the mechanism of the presence of enzymes on ferulic acid release is unclear. The bioaccessibility of ferulic acid may be determined by the bran layer thickness and further investigation is required. Significance and Novelty This is the first study to investigate the bioaccessibility of ferulic acid in barley at various stages of digestion and to measure the bran thickness of barley using microCT imaging with preliminary findings indicating enhanced ferulic acid bioaccessibility in grains with a thinner bran layer.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".