A Superfast Sorbent Based on Textile-Grade Poly(acrylonitrile) Fiber/Fabric. Rapid Removal of Uranium from Mildly Acidic Aqueous Solutions of Low Concentration
Bibliographic record
Abstract
Poly(ethyleneimine) cross-linked with glutaraldehyde has been coated on partially hydrolyzed poly(acrylonitrile) (textile grade), used in fiber as well as fabric form, by a copper-mediated gel-coating process. For uranium sorption from aqueous solutions at low substrate concentrations (≤1 mmol/L), the gel-coated fiber or fabric, containing 15% resin (w/w on a dry basis), exhibits an order of magnitude higher sorption capacity and 2 orders of magnitude higher initial rate of sorption, as compared to conventional bead-form anionic resin Dowex 21K. For example, in a 1 mM solution of UO 2 SO 4 at pH 4.0, the sorption capacities of the gel-coated fiber and Dowex 21K resin beads are respectively 106 and 12 mg of U/g of dry sorbent, while the initial rates of sorption are 3.5 and 0.02 mg of U/(g of dry sorbent)(s), respectively. With the sorption on the gel-coated fiber being by both ion exchange and chelation, it shows a significantly greater salt (NaCl) tolerance than Dowex 21K on which the sorption takes place only by ion exchange. Following fast stripping with dilute mineral acid, the gel-coated fiber is regenerated by a simple wash with dilute alkali to its original capacity. The sorption rate data on the fiber, in the initial stage, fit to a shell−core model equation derived for a cylindrical-shaped sorbent of a very large length/diameter ratio.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 teacher head, 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".