Preparation and characterization of lignin grafted acrylic acid-acrylamide superabsorbent resin
Bibliographic record
Abstract
Lignin grafted acrylic acid-acrylamide superabsorbent resin LS-g-P(AA-co-AM) was prepared by solution polymerization with temperature step-increasing mode.FTIR,SEM and TGA were employed to characterize the superabsorbent resin.Water absorbency and physiological saline absorbency of the resin were measured.LS-g-P(AA-co-AM) shows high water absorbency(1 156 g/g) and high physiological saline absorbency(122 g/g).FTIR analysis confirmed the graft copolymerization of lignosulfonate with acrylic acid and acrylamide.SEM photograph show the lignin-based superabsorbent resin had formed porous sponge structure,and thermogravimetric analysis indicat the superabsorbent resin had good thermal stability.Introduction of lignosulfonate to the superabsorbent resin has improved the resin's salt resistance,and the development of this kind of lignin-based superabsorbent resin provides a new approach for the utilization of lignin.
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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) | 0.002 | 0.001 |
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".