Effect of milled flaxseed and storage conditions on sensory properties and selected bioactive compounds in banana and cinnamon muffins used in a clinical trial
Bibliographic record
Abstract
BACKGROUND: Muffins containing 0, 20, and 30 g of flaxseed were developed for a randomized, controlled cross-over trial on low-density lipoprotein (LDL) cholesterol lowering. The effect of milled flaxseed and storage (-20 °C for 1 and 6 months) of banana and cinnamon muffins on sensory attribute intensities, selected physical properties, bioactive concentrations, and acceptability by two groups - clinical trial participants and consumers - was investigated. RESULTS: The addition of flax increased flax aroma and flavor, sour aroma, and cohesiveness of mass and brown color, and decreased sweet aroma and flavor, banana and cinnamon aroma and flavor, springiness and mouth dryness. Alpha-linolenic acid and secoisolariciresinol diglucoside were significantly increased when flax was increased from 20 to 30 g. Clinical trial participants generally found the muffins more acceptable than the consumers. Consumers reported significantly decreased acceptability when flax at any level was added to muffins, with 30 g the least acceptable. CONCLUSIONS: Muffins with 20 g flaxseed generally had higher mean acceptability values compared to muffins with 30 g. Neither flavoring nor storage at -20 °C for 6 months appreciably changed muffin attributes or acceptability. Future work will optimize the ingredients as well as the amount of flax needed to provide the required amount of bioactive to positively affect LDL cholesterol level and to produce acceptable muffins. © 2018 Society of Chemical Industry.
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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 | 0.002 | 0.002 |
| 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) | 0.003 | 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".