Chemical constituents and functional properties of maize ogi fortified with Amaranthus viridis
Bibliographic record
Abstract
This study investigated the effects of the inclusion of varied amounts of Amaranthus viridis leaf extracts into maize ogi. Proximate and mineral composition, as well as the functional and sensory properties, were evaluated using standard methods. The optimal conditions for the extraction of polyphenol-rich liquid from A. viridis leaves were 1:2 w/v leaf to water ratio at 50°C for a blending time of 10 min. The respective protein and ash contents of the resultant samples improved by 6.01-30.55% and 17.34-82.08% while the carbohydrate and fat contents were reduced. Magnesium (97.90-143.43 mg/100 g), calcium (12.39-58.85 mg/100 g), iron (29.37-70.65 mg/100 g), potassium (59.33-108.42 mg/100 g), and zinc (0.71-1.76 mg/100 g) increased with the increase in fortification levels of the maize ogi. The swelling, amylose, paste clarity, pasting viscosity, and organoleptic qualities (taste, color, flavor, mouthfeel, appearance, and acceptance) of the fortified products decreased with an increase in inclusion levels. The study concluded that the inclusion of the A. viridis leaf extracts into maize ogi could help in boosting nutrients of the products with no major impact on the organoleptic properties of the samples.
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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".