Bioactive components and antioxidant capacity of Ontario hard and soft wheat varieties
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Ragaee, S., Guzar, I., Abdel-Aal, E-S. M. and Seetharaman, K. 2012. Bioactive components and antioxidant capacity of Ontario hard and soft wheat varieties. Can. J. Plant Sci. 92: 19-30. Consumer awareness of food and health through improved diet has promoted research on the bioactive components of agricultural products. wholegrain wheat and products rich in wheat bran were found to inhibit oxidation of biologically important molecules such as DNA, LDL cholesterol and membrane lipids, and are linked with reduced incidence of several diseases. The main objective of the present study was to evaluate selected wheat varieties grown in Ontario based on their contents of bioactive compounds and antioxidant properties to identify potential candidates for the functional foods industry. The 21 wheat varieties obtained from different locations in Ontario varied significantly in soluble and bound phenolic acids, ranging between 114 to 155 and 805 to 1068 µg g-1, respectively. Dietary fiber fractions had narrow ranges being 2.8-4.0% for soluble dietary fiber and 10.1-13.0% for insoluble dietary fiber. Antioxidant capacity measured as DPPH radical inhibition ranged between 5.7-14.9% and 74.1-87.1% for soluble and bound phenolic compounds, respectively. The results demonstrate that certain wholegrain wheat varieties would be excellent sources of bioactive components.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 it