Trace Minerals, Physicochemical and Phytochemical Composition of Locally Prepared Beverages (Kunu and Sobo) Commonly Consumed by Tertiary Institution Students in Ekiti State, Nigeria
Bibliographic record
Abstract
Trace minerals, physicochemical and phytochemical composition were determined in locally prepared kunu and sobo commonly consumed by students of tertiary institutions in Ekiti State. Determination of pH and total solid was achieved by official method prescribed by Association of Analytical Chemists (AOAC). Trace minerals were determined by flame atomic absorption spectrometry (FAAS) while determination of vitamin C was achieved by oxidation-reduction methods using standard 2,6- Dichloro indo phenol (DCP). Result revealed that pH of the samples ranged from 5.26 in sobo to 6.02 in kunu with an average value of 5.64. Total solid ranged from 0.62% in sobo to 7.25% in kunu. Toxic minerals concentrations of Ni, Pb and Cd with values 0.14, 0.19 and 0.05 respectively were observed in sobo while 0.13, 0.01 and 0.04 were observed in kunu, all in parts per million respectively. All the values were within the permissible limits as set by FAO/WHO guidelines for food standard. Co and Cr were not detected in them. Vitamin C contents for sobo and kunu are 5.26 and 6.02 all in mg 100g respectively. The result when compared with the USDA (SR21) database shows that the two samples studied provided less adequate vitamin C content than their natural counterpart, but could serve as anticarcinogenic and antimuitagenic agents for human due to the presence of phytochemicals like phenolics, tannin and flavonoids in them.
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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 | 0.001 |
| Science and technology studies | 0.001 | 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".