Biochemical Analysis of Wheat Milling By-Products for Their Valorization as Potential Food Ingredients
Bibliographic record
Abstract
Wheat bran forms the outermost part of the kernel, which is typically discarded as a by-product. Depending on the milling process, bran can be separated into four fractions: coarse bran (CB), coarse weatings (CW), fine weatings (FW), and low-grade flour (LGF). This study aimed to analyze the macronutrient and bioactive compound profiles of these four by-products across five cultivars and two wheat mixtures. Dietary fibers, free and bound phenolics, phytic acid, fatty acids, and aleurone layer markers were examined in all samples. The results indicate that insoluble fibers, phenolic compounds, and phytic acid decreased from CB to LGF, whereas soluble fiber content exhibited a greater variability among fractions. In all samples, coarse bran was the richest fraction in the protein 7S globulin. The same fraction from the two commercial mixtures and Manitoba cultivar exhibited significantly higher levels of bound ferulic acid compared to the other cultivars (+34%). Manitoba CB also had the highest oleic acid content (18.04% of total lipid content) among all samples, followed by the Rumeno cultivar (17.75%), which also had the highest linolenic acid content (6.35%). Given their health-promoting and technological potential, these by-products could be selectively used to enrich food products and dietary supplements with functional nutrients.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".