Nutrient, amino acids, phytochemical and antioxidant activities of common Nigeria indigenous soups
Bibliographic record
Abstract
Indigenous vegetables have gained attention due to their dietary fibre, mineral, amino acids, phytochemicals, and antioxidant activities. Bitter leaf (BL); Efinrin leaf (EF); Koro owu or cotton seed leaf (KO); Marugbo leaf (MA); Ewedu leaf (EW) and Ira leaf (IR) are common Nigeria indigenous vegetables. These vegetables were processed into soup and analysed for proximate, mineral, amino acids, phytochemicals, and antioxidant activities. The crude fibre content of the vegetable ranged from 2.70 g/100 g in BL to 8.63 g/100 g in MA. It was observed that MA soup had the highest calcium content (42.89 mg/100 g) while the phytochemicals (mg/g) - tannin, phytate, oxalate, total phenol and total flavonoids values ranged as follows: 0.80–7.30; 2.00–32.76; 0.63–5.77; 1.06–9.12 and 0.61–19.50 respectively. The branch chain amino acid content ranged from 10.75 in MA to 14.67 in BL, total non-essential amino acids (35.32 in BL – 57.97 g/100 g in KO) and total essential amino acid (25.70 in MA – 32.34 g/100 g in KO) respectively. The DPPH ranged between 32.32 and 97.24%. Hence, consumption of these processed Nigerian indigenous vegetables soups may be beneficial in prevention and treatment of diet related diseases.
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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".