Adsorption of Modified Starches on Pulp Fibers
Bibliographic record
Abstract
The adsorption of amylose and amylopectin, the two components of starch, on pulp fibers was investigated. It was found that there is a preferential adsorption of amylose on fibers. Both cationic starch and hydroxyethyl ether starch show low-affinity Langmuir-type isotherms, but the adsorption capacity of hydroxyethyl ether starch on fibers as well as its affinity to fibers is much less than that of cationic starch. However, before reaching steady state, the cationic starch adsorption goes through a maximum, ascribed to a competition between adsorption and desorption of starch clusters and individual starch molecules. The steady-state cationic starch adsorption follows the expected trend when the electrolyte concentration is changed; that is, the adsorption first increases with the salt concentration and subsequently decreases. Adsorption of hydroxyethyl ether starch does not depend on electrolyte concentration, except for a small decrease at high ionic strength, ascribed to the shrinking of pores in the fiber wall.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".