The effects of increasing swelling and anionic charges on the enzymatic hydrolysis of organosolv‐pretreated softwoods at low enzyme loadings
Bibliographic record
Abstract
Organosolv-pretreated Lodgepole pine substrates were physically and chemically treated to increase their hydrophilicity and swelling as these are two substrate attributes which have been shown to improve cellulolytic hydrolysis. Surprisingly, mechanical treatment of the organosolv-treated substrates by PFI-mill refining did not significantly increase hydrolysis yields despite decreases in particle size and crystallinity and increases in swelling. However, sulfonation of the substrate did, significantly, increase enzymatic hydrolysis at loadings of both 5 and 2.5 FPU g(-1) cellulose (from 80% to 95% and from 35% to 80%, respectively). In addition, sulfonation resulted in an increase in the amount of free enzymes detected during the course of hydrolysis to a maximum of 80% after 72 h. This suggested that the beneficial effects of sulfonation were primarily due to a decrease in the non-specific binding of the cellulases to the 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 | 0.001 |
| 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".