Intrinsic dissolution kinetics and topochemistry of xylan, mannan, and lignin during auto‐hydrolysis of red maple wood meal
Bibliographic record
Abstract
Abstract High temperature aqueous treatment of wood is the preferred technology for deconstructing lignocellulosics. Many studies have been carried out on the kinetics and mechanism of hot‐water extraction. However, most were performed in batch or integral plug flow reactors, which are not optimal for measuring intrinsic dissolution kinetics of the lignocellulosic components. Therefore, we used a continuous mixed batch reactor (or Berty reactor) to determine the intrinsic dissolution kinetics of xylan, mannan, and lignin from milled hardwood (Acer rubrum) at three different temperatures (150, 160, and 170 °C) and four constant pH values: 2, 3, 4, and 5. During the initial phase of autohydrolysis (carbohydrate‐free), lignin and (lignin‐free) xylan dissolve starting at a high rate and then a slowly decreasing rate, respectively. This is followed by the dissolution of xylan‐lignin complexes and finally cellulose xylan complexes when cellulose has been significantly hydrolysed. The kinetics and molecular weight distribution of the removed wood polymers are used to describe the topochemistry of autohydrolysis based on recent knowledge of the ultrastructure of hardwood fibres.
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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".