Antioxidant Properties of Experimental Wholegrain Pastas Made With Different Cereals
Bibliographic record
Abstract
<p>Pasta represents an identifying ingredient of traditional healthy dishes, in particular in Mediterranean areas. Traditional pasta is made with durum wheat semolina only. However, pasta manufactured with different cereals has become available on the market and its consumption is rapidly increasing.</p> <p>Five experimental dry pastas, manufactured with the same process by adding 60% wholegrain flours of different cereals (wheat, oat, rye, barley and rice) to the same durum wheat semolina, were supplied by Pavan s.p.a. (Galliera Veneta, PD, Italy).</p> <p>For each product, aqueous-organic extracts and their residues were studied. Their antioxidant properties were evaluated by FRAP (Ferric Reducing Antioxidant Power) assay and Total Polyphenols Content (TPC) was determined by the Folin Ciocalteau method.</p> <p>For cooked experimental wholegrain pastas made with different cereals, FRAP values ranged from 3.26 ± 0.08 µmol/g d.w. to 19.52 ± 1.28 µmol/g d.w. in aqueous-organic extracts and from 17.91 ± 2.83 µmol/g d.w. to 87.83 ± 5.06 µmol/g d.w. in residues. In both raw and cooked products the lowest FRAP values were found for semolina/60% whole rice pasta.</p> <p>The barley pasta has interesting antioxidant properties and this result was matched by the TPC one.</p> <p><strong>Practical Application</strong><strong></strong></p> <p>The interest in more nutritious and potentially functional foods has prompted the cereal industry towards new formulations of wholegrain products. The functional properties of minor cereals have been poorly investigated. Our results show that wholegrain pastas made with different cereals are rich in antioxidants, in particular whole barley based pasta, providing a scientific basis for the development of grain<span style="text-decoration: line-through;">s</span> based functional foods.</p> <p>Then the study of free and bond bioactive compounds could be crucial to describe the potential of grains, with the aim of better understanding potential health benefits of wholegrain based food consumption.</p>
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.
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 | 0.001 | 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".