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Self-Diffusion of methyl oleate in mesoporous materials with SBA-16 structure

2011· article· en· W2196974222 on OpenAlexfundno aff
Senming Wang, Rohit Kanungo, Bendaoud Nohair, Sergey Vasenkov, Serge Kaliaguine

Bibliographic record

VenueDiffusion fundamentals. · 2011
Typearticle
Languageen
FieldMaterials Science
TopicMesoporous Materials and Catalysis
Canadian institutionsnot available
FundersMinistère du Développement Économique, de l’Innovation et de l’ExportationFudan UniversityMcKnight Foundation
KeywordsMesoporous materialDiffusionMaterials scienceChemical engineeringChemistryOrganic chemistryPhysicsEngineeringThermodynamicsCatalysis

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0190.000

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.

Opus teacher head0.012
GPT teacher head0.213
Teacher spread0.201 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2011
Admission routes1
Has abstractyes

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