Phosphate Adsorption onto Chitosan-Based Hydrogel Microspheres
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
Phosphate discharges are closely linked to eutrophication, algal and cyanobacterial blooms in natural water bodies. Chitosan hydrogel microspheres (CHMs) were used as an adsorbent to remove phosphate (PO 4 3– ) from aqueous solution. The CHMs were prepared by a sequential methodology consisting of spraying and gelation processes. The physicochemical properties of the hydrogel microspheres were determined by size and zeta-potential analysis. Batch experiments, to investigate the kinetics of phosphate adsorption onto CHMs, show that equilibrum was reached within 30 minutes. The kinetic model was pseudo-second-order (R 2 > 0.999). The effect of varying operating conditions (initial anions concentration, adsorbent loading, pH and temperature) on the experiments were also studied. According to the Boyd model, the rate of adsorption is controlled by the diffusion in the boundary layer. The Langmuir, Freundlich and Dubinin–Radushkhevic (D–R) adsorption models were applied to describe the equilibrium isotherms, and the data correlated better with the Freundlich model (R 2 = 0.975). The mean free-energy values (obtained from the D–R model) indicate that the adsorption was physical in nature. The values of ΔG and ΔH demonstrated the spontaneous and exothermic nature of the reaction and the negative value of ΔS indicates a decrease in entropy.
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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 | 0.001 | 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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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