Effect of milled flaxseed and storage conditions on sensory properties and selected bioactive compounds in banana and cinnamon muffins employed in a clinical trial
Bibliographic record
Abstract
Flaxseed is an excellent source of bioactive compounds, alpha-linolenic acid (ALA) and secoisolariciresinol diglucoside (SDG), which when added to food products enhance their functionality. However, when flaxseed is added to foods, overall acceptability and sensory properties can be affected, which may negatively affect the role of functional food in providing health benefits. This study was designed to determine the effects of adding milled flaxseeds (20g or 30g) and storage (1 month and 6 months) at - 200C in banana and cinnamon muffins on the sensory properties of muffins using both consumer acceptability evaluation and descriptive analysis, physical and chemical measurements, and ALA and SDG concentrations. Results were correlated using partial least square (PLS) to provide an explicit demonstration of association between overall acceptability of muffins and results from various measurements conducted. It was revealed that the addition of flaxseed reduced overall acceptability due to the enhancement of flax aroma and flavor, oil aroma and flavor, sour aroma and taste, brown color, and firmness., while storage had no impact. The negative influence of these sensory attributes was addressed by the addition of flavorings. Cinnamon flavoring reduced the presence of oil aroma and flavor, and sour aroma and taste while firmness decreased when pureed banana was added. But the intensities of flax aroma and flavor, and brown color were still pronounced in muffins even after the addition of the two flavorings. ALA and SDG concentrations were markedly increased in muffins when flaxseed was added. Storage did not significantly affect the levels of ALA in all muffins but prolonged storage increased SDG level, which can be associated with its role in enhancing extraction proficiency of SDG from the muffin matrix. Although results revealed that acceptability of muffins was significantly higher among clinical trial participants, the mean liking values had moderate deviation between consumers and clinical trial participants. This indicated that muffins fortified with flaxseeds can be acceptable by consumers with diverse wants.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".