Nutritional Analysis of Fish (<i>Sarotherodon galilaeus</i>) Snack with and without the Fortification of Plant (<i>Ocimum gratissimum, Vernonia amygdalina</i> and <i>Ocimum gratissimum</i> plus <i>Vernonia amygdalina</i>) Extracts
Bibliographic record
Abstract
The study of the proximate and elemental composition of fish snack made from Sarotherodon galilaeus , with and without fortification of plant crude extracts Ocimum gratissimum (OGE), Vernonia amygdalina (VAE), and Ocimum gratissimum plus Vernonia amygdalina (OVE) was carried out to determine the effect of plant extracts on the nutritive qualities of the fish snacks. Twelve fish samples grouped into three class sizes (A, B, C), were used. They were washed, weighed, gutted, filleted, cut into pieces, staked on palm frond sticks and fortified with extracts, spiced and dried with a smoldering fire. Snack were analyzed for proximate and nutrients composition using standard methods. Data collected were subjected to ANOVA using SAS ® 2008 version 9.1. Protein contents ranged from 48.35±0.13% (VAE) to 60.87±0.01% (unfortified), the highest lipid content 13.15±0.05% was recorded in the unfortified snacks and the lowest 12.85±0.23% for (OVE), carbohydrate 23.70±0.04% was higher (P>0.05) IN (VAE). Concentrations of Na (702.2±0.004 mg), and Se (2.44±0.072 µg) were higher (p>0.05) in (VAE). Energy value ranged from 403.57 kcal/100 g (VAE) to 416 kcal/100 g (OGE). Addition of plants extract and composite spice to the fish fillet had effect on the nutritional qualities of the product. The production of the snack would enhance fish utilization, food and employment security, as well as promote healthy snacking among the populace.
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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 | 0.000 | 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) | 0.001 | 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".