Predicting Buckwheat Flavonoids Bioavailability in Different Food Matrices Under In Vitro Simulated Human Digestion
Bibliographic record
Abstract
The digestibility and bioaccessibility of major flavonoids (rutin, quercetin, and isoquercitrin) in various buckwheat food matrices were evaluated as a function of the rutin levels using an in vitro simulated digestion model. Food matrices were unprocessed samples (buckwheat flour [BF], flavonoid extract [FE], rutin‐enhanced flavonoid extract [REFE], and pure rutin) and processed samples (cakes with BF, FE, and REFE and a rutin‐spiked cake). FE showed the highest digestibility out of all the unprocessed samples (FE > REFE > BF > rutin), whereas BF exhibited the highest bioaccessibility (BF > FE > REFE = rutin). Moreover, the processed samples improved their flavonoid bioaccessibility upon baking. Thus, unprocessed FE is a good source for highly bioavailable flavonoids; moreover, baking exerts a positive effect on flavonoid digestibility and bioaccessibility. Because flavonoids can be further fermented by microorganisms in the large intestine into various metabolites, determining the digestibility and bioaccessibility of various flavonoids is useful for predicting flavonoid bioavailability in buckwheat and buckwheat‐based food products.
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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".