Nutrient and heavy metals composition of dried fish varieties from Bangladesh
Bibliographic record
Abstract
This work determined the nutritional value of some dried fishes that are commonly consumed in Bangladesh. Protein content was significantly (p < 0.05) higher in the white sardine (72.5 g/100 g) and Ganges River sprat (74.2 g/100 g) with essential amino acids score of 137.7% and 136.3%, respectively. The fermented anchovies had significantly (p < 0.05) higher free amino acids content (4.4 g/100 g) when compared to the other dried fishes with 0.7–2.5 g/100 g values. However, the ribbon fish had significantly (p < 0.05) higher protein digestibility of 84.0% when compared to <80% for the other fishes. Significantly (p < 0.05) lower sodium but higher potassium contents were found in white sardine and Ganges River sprat. White sardine also had the highest contents of eicosapentaenoic acid (6.5 g/100 g of oil), docosahexaenoic acid (19.5 g/100 g of oil), and total n-3 fatty acids (27.6 g/100 g of oil). The freshwater barb (fermented or unfermented) contained the highest contents of monounsaturated fatty acids and lowest levels of saturated fatty acids (p < 0.05). The heavy metals contents in white sardine were less than the maximum permitted levels. However, Ganges River sprat had significantly higher cholesterol content (12.5 mg/g), which may limit its nutritional value. • Dried fish made from the Puntius spp had the highest fat content. • Ganges River sprat dried fish had the lowest sodium/potassium ratio. • Arsenic content in the ribbon dried fish exceeded the maximum permitted level. • Fermented anchovies dried fish had the highest content of total free amino acids. • White sardine dried fish had the highest level of n-3/n-6 ratio.
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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 | 0.000 | 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) | 0.002 | 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".