In-situ polymerization of lignocelluloses of autohydrolysis process with acrylamide
Bibliographic record
Abstract
In the present study, the hydrolysates generated via autohydrolysis of spruce wood chips were directly used as feedstock for producing coagulants. The in-situ polymerization of acrylamide (AM) and lignocellulose (LC) of hydrolysates was successfully conducted. The reaction was optimized to generate lignocellulose-acrylamide (LC-AM) with the highest molecular weight (41,060 g/mol) and charge density (–0.25 meq/g) under the optimum conditions, which were 3 h, 60 ℃, 4% (w) initiator based on the dried mass of hydrolysate, and an AM/LC molar ratio of 5.63. A nuclear magnetic resonance (NMR) spectroscopy confirmed the grafting of acrylamide on LC. Other properties of LC-AM were characterized by the elemental analyzer, zeta potential analyzer, gel permeation chromatography (GPC), and particle charge detector (PCD). The LC-AM was applied as a coagulant for removing ethyl violet dye from a simulated dye solution. The results indicated that 47.2% dye was removed from the solution at a low dosage of 0.2 g/g. The dual flocculation of LC-AM with other polymers for dye removal is suggested to further improve its effectiveness.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 | 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 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".