Fermentation of Corn Starch Powder for the Production of “Ogi”
Bibliographic record
Abstract
Ogi was produced by fermenting corn starch powder for 24h and 48h using a seed culture (omidium) as a starter culture. Physicochemical properties such as pH, titratable acidity, viscosity, swelling power solubility, and proximate composition were determined. The sensory properties of the ogi produced was also determined and compared with ogi produced from the traditional method. The results of the proximate analysis showed that the carbohydrate content of sample B(fermented corn starch for 24h) is 78.47% and sample C(fermented corn starch for 48h) is 77.43% were significantly higher (p<0.05) when compared to the traditional method-sample A(73.43%).Protein content (10.63%) and fat content (5.10%) of sample A were significantly higher (p£0.05) than sample B (9.5%) (1.0%) and sample C (9.86%) (1.70%) respectively. The pH of ogi decreased from 5.18 at the beginning of the fermentation to 3.60 at the end of 48h. Whereas the titratable acidity increased from 0.27% to 0.63% after 48h of fermentation. The viscosity of the ogi in the gelatinized state increased as the fermentation period increased from 24h to 48h. There was ignificant (p³0.05) difference in color, flavor, aroma, taste, sourness, mouth feel and overall acceptability between sample A, C and B. The pH, titratable acidity, textural and sensory properties of ogi produced from corn starch powder that was fermented for 48h were more acceptable than ogi produced through the traditional method and from corn starch powder that was fermented for 24h.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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".