Bellamya Bengalensis (Edible Gastropod) Powder: Analysis Of Amino Acid And Fatty Acid Composition
Bibliographic record
Abstract
Bellamya bengalensis, a widely consumed freshwater snail in Asia and Africa, is known for its nutritional and medicinal properties. This study aimed to analyze the amino acid and fatty acid profiles of Bellamya bengalensis powder to elucidate its potential health benefits and nutritional contribution. The sample was collected, processed, and analyzed using high-performance liquid chromatography (HPLC) for amino acid composition and gas chromatography-mass spectrometry (GC-MS) for fatty acid content. The results revealed high concentrations of essential amino acids, including lysine (6.2 g/100g), leucine (7.5 g/100g), and valine (5.8 g/100g), as well as non-essential amino acids, such as glutamic acid (10.3 g/100g) and aspartic acid (8.9 g/100g). The presence of these amino acids highlights the sample's potential to support muscle health, protein synthesis, cognitive function, and immune health. The fatty acid profile showed a balanced composition of saturated fatty acids (SFA), monounsaturated fatty acids (MUFA), and polyunsaturated fatty acids (PUFA), with notable levels of stearic acid (18.5%), palmitic acid (22.3%), oleic acid (21.1%), linoleic acid (10.2%), and alpha-linolenic acid (5.8%). The high percentage of oleic acid, a key component of the Mediterranean diet, suggests potential benefits for heart health. The findings demonstrate that Bellamya bengalensis powder is a comprehensive source of essential nutrients and can contribute to a balanced diet when consumed in moderation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| 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) | 0.000 | 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 teacher head, 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".