The fate of phosphorus in the bleaching of spruce TMP with the new bleaching agent – THPS
Bibliographic record
Abstract
Abstract Tetrakis(hydroxymethyl)phosphonium sulfate (THPS) is a newly discovered, phosphorus-based bleaching agent that has been successfully tested in a pulp mill trial. The fate of phosphorus (P) and the chemistry in the course of THPS bleaching of a spruce TMP have been studied. The amount of P introduced into the THPS-bleached pulp depends on THPS dose and the bleaching conditions and it correlates well with the brightness gain. The P introduced into THPS-bleached pulp is covalently bonded to the pulp. The THPS-bleached and tetraethylphosphonium chloride-treated pulps have been additionally treated with calcium chloride before P analysis, and the results of these experiments support the covalent bonding hypothesis. Bleaching with 0.1 and 3.0% THPS (% based on oven-dried pulp) at 60 and 110°C leads to pulps with 0.13 and 2.17 mg P g-1 pulp, respectively, which corresponds to 0.08 and 1.4% THPS. More precisely, P is covalently bonded to lignin chromophores, such as lignin coniferaldehydes. This was found by P-content analysis, UV-visible spectroscopy, and 31P{1H} NMR studies of a crude milled wood lignin (crude MWL) and a partially purified MWL isolated from a THPS-bleached pulp.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".