The Influence of Cold Caustic Extraction on the Purity, Accessibility and Reactivity of Dissolving‐Grade Pulp
Bibliographic record
Abstract
Abstract Prehydrolysis and cold caustic extraction (CCE) are two effective approaches to convert the traditional Kraft pulp to a dissolving‐grade pulp. Compared to prehydrolysis, CCE has several positive attributes but reduces final pulp reactivity. To gain insight into the factors that influence the reactivity of CCE treated cellulose, we compared the surface morphology, supramolecular properties and fibre properties of commercial dissolving pulp from prehydrolysis to dissolving grade cellulose upgraded using CCE. CCE treatment promoted the fibril aggregation and modified the initial cellulose I on Kraft pulps to cellulose II, thus decreasing final pulp reactivity. Various “post‐treatments” such as mechanical refining, steam explosion, induction of fibre kink and curl, sulfuric acid hydrolysis and endoglucanase hydrolysis effectively recover the reactivity lost during the production of dissolving pulp cellulose using a CCE step. Mechanical refining combined with endoglucanase treatment had the greatest effect increasing the reactivity from 32% to 75%.
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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 | 0.001 |
| 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".