Determination of Nutritional and Antioxidant Properties of Dialium guineense Willd Seeds
Bibliographic record
Abstract
Dialium guineense is a fruit species whose pulp is very appreciated by the Ivorian population. Seed of the fruit is almost unitized. Hence the objective of this study was to evaluate the nutritional and antioxidant properties of Dialium guineense seeds with a view to their valorization in the food and dietetic field. Seeds were soaked in water then dried at 60 °C for 24 hours. They were split into two batches, one batch was roasted at 150°C for 15 min then crushed. Flours obtained were used to determine the nutritional and antioxidant properties. Results of the nutritional properties showed that the contents of the dried and roasted grains were: proteins (21.37±0.55 and 18.37±0.17%), ash (5.40±0.14 and 5.65±0.04%), fibers (9.08±0.09 and 11.27±0.15%), Ca (836.25±0.15%), 5.17 and 874.33±8.09 mg/100 g), Mg (685.22±6.27 and 701.55±9.54 mg/100 g) and Fe (15.33±1.02 and 18.27±1.35 mg/100 g). Results of the nutritional properties, seeds of Dialium guineense contain significant contents of polyphenols (535.20 and 202.69 mg/100 g), tannins (202.69 and 161.64 mg/100 g) and flavonoids (12.36 and 8.27 mg/100 g) with DPPH radical inhibition percentages of 55.36 and 42.65% respectively for dried and roasted beans. This study allows us to say that Dialium guineense seeds could be used in the food and dietetic fields.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".