Properties of Amaranth Flour With Functional Oat Products
Bibliographic record
Abstract
Amaranth flour (Salvia hispanica L.), gluten free and rich in essential amino acids, was composited with oat functional products containing ?-glucan known for lowering blood cholesterol and preventing heart disease. The objective of this research was to study the pasting and rheological properties of amaranth flour interacted with functional oat products using Rapid Visco Analyzer followed by an advanced rheometer. The initial peak viscosities of amaranth-Nutrim (oat bran hydrocolloids) and amaranth-OBC (oat bran concentrate) composites were increased with higher Nutrim and OBC contents. The final pasting viscosities of amaranth-OBC composites were increased significantly with higher OBC contents while amaranth-Nutrim composites showed colloidal gel properties similar to Nutrim. On other hand, amaranth interacted with oat bran concentrate displayed the highest rheological solid properties as elastic gels. Shear thinning properties were observed for all the interactions between amaranth flour and functional oat products. The improved water holding capacities were found for interacted compositions with Nutrim and oat bran concentrate compared to amaranth flour. These amaranth flour and oat products compositions demonstrated improved nutritional value and texture qualities for functional food applications.
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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".