Eco‐Friendly Synthesis of Hydrogels from Starch, Citric Acid, and Itaconic Acid: Swelling Capacity and Metal Chelation Properties
Bibliographic record
Abstract
Abstract In this study, eco‐friendly superabsorbent hydrogels are prepared by the grafting and crosslinking reactions of itaconic acid and citric acid with starch, using potassium persulfate as the free radical initiator. The structure and morphology of the hydrogels are studied using Fourier transform infrared spectroscopy, scanning electron microscopy, and thermogravimetric analysis. The effect of the citric acid to starch ratio on the swelling properties is evaluated, and it is found that equal parts of citric acid and starch produced the highest swelling ratio of 188 g distilled water per g hydrogel. The hydrogels also exhibit pH‐dependent behavior, such that the maximum swelling ratio of 232 g/g is obtained at pH 8. Finally, the metal chelation properties of the hydrogel are tested in solutions of copper, nickel, and zinc, and the adsorption capacity followed the trend Cu > Ni > Zn based on the Freundlich parameter KF.
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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) | 0.000 | 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 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".