Equilibrium Studies of Methylene Blue Dye Sorption by Dried Water Hyacinth Shoot
Bibliographic record
Abstract
Water hyacinth (Eichhornia crassipies) has proved to be a menace in water bodies and studies are on, in the direction of solving this problem; one of which is to discover economic uses of water hyacinth. Adsorption of heavy metals and dyes from aqueous solutions by activated carbon derived from water hyacinth is one of such studies. In this study, dried and pulverized water hyacinth shoot was used for the sorption studies. This is in the bid of eliminating the rigours of producing activated carbon, thereby saving time and cost. The adsorption capacity of water hyacinth shoot for Methylene Blue dye was studied as a function of initial metal ion concentration in a batch system. Results showed that adsorption increased with methylene blue dye concentration. Seven adsorption isotherms, namely Langmuir, Freundlich, Temkin, Dubinin-Radushkevich, Florry-Huggins, Harkins-Jura and Henry’s isotherms were applied to the adsorption data. Isotherm parameters showed that all the isotherms correlated well with the adsorption data. The maximum adsorption capacity of Methylene Blue dye to the dried water hyacinth shoot was found to be 58.14mg/g. The use of dried water hyacinth shoot would appreciably save the time and cost for producing activated carbon but not without some compromise of efficiency.
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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 | 0.001 |
| 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".