Alternative initiatives for non‐wood chemical pulping and integration with the biorefinery concept: A review
Bibliographic record
Abstract
Abstract Conventional pulping processes, such as soda, soda‐Antraquinone (AQ), and kraft, are currently used for non‐wood pulping. The main challenges of non‐wood pulping in conventional pulping processes are (1) large amounts of silica cause silica‐related operational difficulties in the process; (2) large amounts of fines/parenchyma cells decrease the drainage; and (3) the bulky nature of raw materials increases the collection/transportation cost, hampering large‐scale commercial operations. Alternative pulping processes are therefore being developed. This paper reviews the current status of alternative non‐wood pulping processes and their integration with the biorefinery concept. Several promising methods have been investigated at the laboratory or pilot scale. Organic acid and potassium hydroxide pulping processes are attractive alternatives for non‐wood pulping. Dissolved lignin and hemicelluloses in spent liquor can lead to the production of valuable co‐products, fitting well with the integrated biorefinery concept. Non‐wood biomass can be important raw material for pulping in forest‐deficient countries. © 2020 Society of Chemical Industry and John Wiley & Sons, Ltd
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".