Bibliographic record
Abstract
With the increasing concerns about formaldehyde emissions from wood-based panels and the demands of the sustainable products, the potential of synthetic wood resins derived from biomass resources has sparked enormous interest. To date, extensive efforts have been devoted to investigating the mechanism, the properties, and the modification approach of the bio-adhesives. To overcome the limitations of pure bio-adhesives (low reactivity, low moisture resistance, and biodegradation), many approaches have been developed to partially replace the bio-polymer with synthetic thermosetting adhesives. In this project, a functional experimental grade binder, made from the reactive extrusion modification process of biopolymers with other reagents, is used as a co-binder in combination with polymeric methylene diphenyl diisocyanate (pMDI) resin, to study the resulting performance of the system for wood adhesive applications. \nTo evaluate the influence of the experimental grade biopolymer binder on the performance of the pMDI adhesive, a pMDI adhesive blended with water was first investigated. The effect of water content on emulsion morphology and viscosity was characterized. For bonded samples, formulations obtaining the highest bonding strength of the water/pMDI adhesives was determined by comparing the pull-off stress and the lap-shear stress. To further improve the bonding performance, the wood substrate was modified by the silane coupling agent, (3-aminopropyl) triethoxysilane (APTES). The penetration depth of pMDI in the different wood substrates (neat wood, 1wt% APTES-treated wood, 3wt% APTES-treated wood) was accurately determined. These studies indicate that both strong interactions between the adhesives and wood substrate, and a certain level of penetration of the adhesives, are required for the good bonding performance of the water/pMDI adhesives. \nThe biopolymer/pMDI adhesives were prepared and investigated based on the protocols from the industry partner Ecosynthetix. By comparing the biopolymer/pMDI adhesives with the water/pMDI adhesives, the effect of the biopolymer to the pMDI was determined. The biopolymer can work as a thickener, emulsifier of the system to reduce the dosage of pMDI. In terms of bonding performance, the bonding strength of the biopolymer/pMDI adhesive is comparable with the highest stress achieved by water/pMDI resin, indicating the experimental grade biopolymer can be applied as an effective wood adhesive binder to partially replace pMDI without reducing the overall bonding performance.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 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".