High-Performance Multiscale LNPs from Black Liquor as Repulpable Paper Coatings with Enhanced Water, Oil, and Vapor Resistance
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Technical lignin in alkaline pulping black liquor is usually combusted for energy in a soda recovery unit. To improve resource utilization, multiscale lignin nanoparticles (LNPs) were acid precipitated from black liquor and combined with gelatinized starch (SS) to produce a series of uniformly mixed surface coating agents to enhance the barrier properties of paper materials including water, oil, and water vapor resistance. The coating with 20%SS and 50%LNPs (based on oven-dried SS) with a diameter of 276 nm could significantly improve the barrier properties of the coated paper. Cobb 60 decreased by 79.6% from 67.98 to 13.86 g/m 2, Kit rating improved from 0 to 10, and water vapor transmission reduced from ≥3000 to 441.69 g/m 2 ·day. The coated paper presented superior mechanical properties, thermal stability, repulpability, and biodegradability. This work provides an effective strategy for the high-value application of pulping black liquor and holds promise for paper-based packaging.
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.
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) | 0.001 | 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 it