Shrimp shell waste – a sustainable green solution in industrial effluent treatment
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
ABSTRACT In this study, the capacity of wasted natural material Fenneropenaeus indicus (Shrimp) shell, as a coagulant, was appraised in the treatment of simulated paint factory effluent (SPFE) by colour and turbidity. The study was conducted by varying different operational parameters. The proposed case to treat a litre of SPFE was 400 mL of eluate made from 4% (wt/vol) of shrimp shell powder (SSP) and 3 N NaCl, at its own initial pH (8.4–8.6). The outcome was 93.67% (colour) and 81.77% (turbidity). The optimized conditions were applied on real paint factory effluent. The evaluated sludge volume (SV f ) and sludge volume index were boosted and the hindered settling velocity (V HS ) was in declined trend with the upgrade in initial concentration of effluents, in the settling studies. The final volume of sludge was ranged between 190 and 260 mL/L and its dry weight was between 32.7 and 38.1 g/L, respectively. The presence of chitosan, an active component, responsible for coagulation was confirmed by Fourier transform infrared spectroscopy. The results were contrasted with chemical coagulant chitosan and it confessed that, being a biodegradable and universally abundant, the SSP has a capacity to become a sustainable green alternate for chemical coagulants in the paint factory effluent treatment.
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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 | 0.000 | 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) | 0.000 | 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 it