New Biorefinery Strategy for High Purity Lignin Production
Bibliographic record
Abstract
Abstract Due to their aromatic nature, lignins are of particular interest for chemical conversions of lignocellulosic resources. Organosolv pulping processes generally provide higher purity lignins, with lower sugar and ash contents than is the case with conventional pulping technologies (kraft, sulfite or soda). The strategy for new organosolv biorefinery presented here was to sequentially remove the extractives before pulping. The products obtained from organosolv pulping of aspen wood with a Lewis acid catalyst were compared to those from processes performed with the same wood and solvent system, but without or with mineral acid as catalyst. The new strategy with Lewis acid catalyst developed in this study proved to allow more efficient recovery of high purity lignin, which was determined to have a high Klason, low sugars, volatiles and ash contents, while preserving a good portion of β‐O‐4 moieties ( 31 P and HSQC NMR), typical for native lignin. The thermal properties of this lignin were determined to be favorable to its transformation by electrospinning. It was successfully spun without need for any additives or modifications before electrospinning experiments.
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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) | 0.001 | 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".