Supplementation With Dietary Lacto-Sacc in Earthen Pond Water Reduced Nitrofuran Derivatives in Mud Crab (Scylla Olivacea)
Bibliographic record
Abstract
Antibiotics, particularly nitrofuran derivatives, in aquaculture have raised major health concerns because to their carcinogenic and mutagenic properties. This study looks at how lacto-sacc, a probiotic supplement, decreases nitrofuran derivative residues in mud crabs (Scylla olivacea). Gravid female mud crabs were divided into three groups: control (0% lacto-sacc), 1% lacto-sacc, and 1.5% lacto-sacc. They were housed in breeding boxes inside earthen mangrove broodstock cages designed to simulate natural settings. The crabs were fed lacto sacc supplemented diets for 84 days before being tested for nitrofuran metabolites (SEM, AHD, AMOZ, and AOZ) by liquid chromatography-tandem mass spectrometry. The results revealed that lacto Sacc-treated groups had considerably lower levels of nitrofuran metabolites than the control group. After 84 days, SEM levels in the 1.5% lacto-sacc group (T3) dropped to 0.49±0.03 ppm, AHD to 0.027±0.001 ppm, AMOZ to 0.008±0.012 ppm, and AOZ was absent. The study exhibited that lacto-sacc supplementation significantly reduced harmful nitrofuran compounds in mud crabs, promoting safer aquaculture operations.
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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".