Effect of Oxygen Delignification Operating Parameters on Downstream Enzymatic Hydrolysis of Softwood Substrates
Bibliographic record
Abstract
Enhanced oxygen delignification of softwood pulp samples (taken upstream and downstream of a commercial oxygen delignification unit) improved the initial rate of enzymatic saccharification and overall yield of monomeric sugars by 62-82% and 76-80%, respectively. Laboratory-scale experiments were used to examine the effect of a broad range of operating parameters (temperature, time, caustic concentration, and oxygen partial pressure) on the effectiveness of oxygen delignification. Using empirical models, kappa number (residual lignin content) was found to effectively predict final conversion to monomeric sugars. Application of oxygen delignification to sulfite mill knots resulted in smaller (20-25%) reduction in lignin content. However, using a combination of oxygen delignification and particle size reduction, up to 80% of the carbohydrate in the reject knots could be converted to fermentable sugars.
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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 | 0.000 | 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 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".