Thermal and Functional Properties of Hairless Canary Seed (<i>Phalaris canariensis</i> L.) Starch in Comparison with Wheat Starch
Bibliographic record
Abstract
Recently, hairless canary seed has received generally recognized as safe (GRAS) status from the U.S. Food and Drug Administration and an approval as a novel food from Health Canada. There is a need to characterize its components for food and nonfood applications. In this study, thermal and functional properties of starch obtained from two hairless canary seed varieties were investigated and compared with commercial wheat starch. Both canary seed starches (CSS) had polygonal granules with a diameter range of 0.5–7.5 μm and average of 2.6 μm. The CSS showed a typical crystal structure (A‐type) of cereal starches but exhibited a strong amylose‐lipid complex peak at 4.4°A. DSC data showed that CSS have higher gelatinization transition temperatures (onset, peak, and conclusion temperatures) and broader gelatinization range compared with wheat starch. The CSS also exhibited higher peak, trough, final, breakdown, and setback viscosity in addition to higher swelling power and water solubility index than wheat starch. The exudate from CSS gels after freeze‐thawing treatment was lower than that of wheat starch gel, but CSS suspensions showed less clarity. The distinct properties of CSS, particularly having uniform and small granules, low amount of damaged starch and amylose, and better gel stability, would make it a promising nonconventional starch source.
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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".