Proximate Composition and Profiles of Amino Acids and Fatty Acids in the Muscle of Adult Males and Females of Commercially Viable Prawn Species Macrobrachium rosenbergii Collected from Natural Culture Environments
Bibliographic record
Abstract
The proximate composition of biochemical constituents was analyzed in the muscle of adult male and femaleprawns of Macrobrachium rosenbergii collected from two different natural culture sites. This was in the order ofmoisture > protein > amino acids > carbohydrate > nucleic acids (RNA > DNA) > lipid > fatty acids > ash. Theprawns collected from both natural culture sites showed reasonably good proximate composition. This indicatesthat the wild has provided adequate food source to the prawns. The proportion of total protein, amino acids, lipid,fatty acids, carbohydrate and RNA were found to be higher in female prawns than in the males. In contrast, theproportions of moisture and ash contents were higher in male prawns when compared with females. The level ofDNA was found to be unchanged in both male and female prawns. HPTLC analysis of amino acids revealedhigher levels of essential amino acids, such as phenylalanine, leucine, tyrosine, isoleucine, tryptophan,methionine, valine, threonine, arginine, histidine, lysine in female prawns when compared to the male prawns.Similarly, GC analysis of fatty acids showed both polyunsaturated and saturated fatty acids levels were found tobe higher in female prawns when compared to the males. The variation in muscle constituents between male andfemale prawn reflects the differences in sex development and their energy requirements for body maintenanceduring the adult stage. In the present study, nutrition wise, the adult female prawn was as good or better compared to the adult male prawn. Since M. rosenbergii are a good source of protein, essential amino acids andpolyunsaturated fatty acids, and very low in fat, it can be used as a healthy choice of food for humanconsumption.
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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 | 0.000 |
| 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".