Comparative Study on Nutrient Composition, Functional Property and Glycaemic Index of “Ogi” in Healthy Rats Prepared from Selected Cereal Grains
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Bibliographic record
Abstract
One of the most common traditional fermented food products consumed by all class of people in Southern part of Nigeria is Ogi. Ogi is a gurel made from different types of cereal ranging from maize, sorghum, millet among others. Hence, this study was aimed to evaluate nutrient, phytochemicals, functional properties, and glycemic index of Ogi produced from different grains. Grains such as yellow maize (YM), white maize (WM), popcorn maize (PC), red sorghum (RS), white sorghum (WS) and finger millet (FM) were processed into Ogi samples, packaged in airtight container prior to analysis and stored at –20 °C. Proximate results showed that Ogi sample produced from PC significantly contained the highest protein content followed by sample YM. Potassium was observed to be the most abundant mineral elements in Ogi (14.50–19.10 mg/100 g). The phytochemical composition (mg/g) of the experimental samples ranged from 0.34–1.62, 53.82–177.09, 0.00–0.10, 3.71–69.22 and 2.08–6.08 mg/g in oxalate, saponin, flavonoid, phytate and tannin, respectively. The glycemic index ranged 48.83% in YM to 50.71% in WS, while the glycemic load ranged 31.96% in YM to 37.82% in WS, respectively. The result revealed that Ogi samples, especially YM was high in calcium, Ca/P ratio, iron, zinc but low in phytate and tannin content. Sample YM also exhibit lower glycemic index, when compared with other Ogi samples. Hence, YM may be a better grain for the production of Ogi samples.
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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 | 0.001 |
| 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