Aqueous Dispersions of Esterified Lignin Particles for Hydrophobic Coatings
Bibliographic record
Abstract
An aqueous biopolymer dispersion for a coating material was synthesized utilizing softwood kraft lignin and a natural organic acid. The chemical treatment of lignin was a two-step process, which consisted of hydroxyethylation of the phenolics utilizing ethylene carbonate and alkaline catalyst, creating uniform aliphatic hydroxyl functionality. This procedure was followed by direct esterification of the hydroxyls with oleic acid. 13C NMR analysis of the lignin indicated 88-89% substitution of the lignin hydroxyl groups forming an ethyl oleate lignin derivative. Solutions of lignin derivatives were slowly precipitated through dialysis resulting in the modified lignin forming a stable dispersion of microparticles in distilled water. Dynamic light scattering revealed the wax-like particles had a 1-2 m average diameter. Lignin-based particles were sprayed onto a variety of surfaces to measure the ability to change the surface wettability. The lignin-based particles enhanced the hydrophobicity of all the substrates tested, increasing the contact angle for pulp sheets and solid wood. Because of the benign reagents involved in the coating synthesis, the avoidance of volatile organic solvents in the application, this process provided a low environmental solution for synthesis of hydrophobic coatings utilizing natural compounds that are known to repel water in nature.
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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".