Green Chemical Treatment of Natural Wood Material for Decay Resistance by 3-iodo-2-propynyl butyl carbamate (IPBC) with Supercritical CO<sub>2</sub> as a Carrier Solvent
Bibliographic record
Abstract
In order to improve the decay resistance of wood as the renewable natural material of biological origin, an organic preservative, 3-iodo-2-propynyl butyl carbamate (IPBC), was penetrated into wood matrix by supercritical CO2 as a carrier solvent. And the effectiveness of penetrating IPBC into wood matrix through SC-CO2 was also examined in terms of preservative distribution, leachability resistance of preservative as well as decay resistance of wood. The results indicate that the optimum penetration craft under the adopted conditions was pressure: 19MPa, temperature: 35°C, pressure time: 2.5h and time for releasing pressure: 20min. And under the optimum condition, the mechanical properties of SC-CO2 treated wood were not significantly affected. SEM-EDX analysis indicate that IPBC mainly distributed in wood matrix due to the higher penetration of supercritical CO2 as a carrier solvent, and its leachability was remarkably reduced after such penetration. The decay resistance of SC-CO2 treated wood against fungi attack was improved 90.96% over untreated wood, indicating effective decay resistance of wood after preservative penetration with SC-CO2.
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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 | 0.000 | 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".