Self-Diffusion of methyl oleate in mesoporous materials with SBA-16 structure
Bibliographic record
Abstract
The existence of a 3-dimensional system of relatively large pores makes mesoporous silica of the SBA-16 type to be an attractive candidate as a catalyst support for catalytic production of biodiesel, viz.fatty acid methyl esters.Using these materials for the catalytic production of biodiesel from triglycerides, which can be extracted from marine algaes, shows potential for addressing increasing needs in fuels.Understanding transport properties of such relatively large sorbate molecules in the pore system of SBA-16 is of high importance for catalysis in this type of materials.Here we report the synthesis of the BTEB (viz., 1,4-bis (trithoxysilyl)-benzene) SBA-16 material and the properties of methyl oleate self-diffusion in this material at room temperature.The diffusion studies were performed using pulsed field gradient (PFG) NMR at high magnetic field (17.6 T) and high magnetic field gradients (up to 30 T/m).Application of high field and high gradients allowed using natural abundance 13 C PFG NMR, in addition to a more traditional 1 H PFG NMR.PFG NMR measurements resulted in obtaining quantitative knowledge of methyl oleate self-diffusion inside BTEB SBA-16 particles.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.019 | 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".