Synthesis and Thermal Decomposition Behavior of Zircoaluminate Coupling Agents
Bibliographic record
Abstract
Zircoaluminate coupling agents can be used as surface modifiers or adhesion additives in many applications, such as plastics, rubbers, coatings, and pigments. In this paper, a range of zircoaluminates with different functional groups were synthesized, by using polyaluminum chloride (PAC), zirconium oxychloride, 1,2-propanediol, and others. The products were characterized by FTIR, MALDI-TOF MS (matrix-assisted laser desorption/ionization time-of-flight mass spectrometry), and TGA. FTIR spectra indicated that the multiple bands at 1636–1567 cm –1 are the characteristics of zircoaluminates. The number-average molecular weight and weight-average molecular weight of carboxyl functional zircoaluminate (sample ZA-C6) are 2125 and 2295 g/mol, respectively, as determined by MALDI-TOF MS. The molar ratio of reactants and selected organofunctional ligands can affect not only the properties but also the thermal stabilities of final products. TGA results showed that the decomposition of zircoaluminates includes four distinct stages and dodecyl functional zircoaluminate (sample ZA-F) has the highest decomposition temperature of 374 °C.
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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".