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Record W2375809238

Sol-Gel Entrapped Cobalt Pyridine-Carboxylate and Its Catalytic Performance for Oxidative Carbonylation of Methanol

2002· article· en· W2375809238 on OpenAlexaff
Yaling Li

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldChemical Engineering
TopicCarbon dioxide utilization in catalysis
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsCatalysisCobaltChemistrySilica gelSol-gelMethanolPyridineInorganic chemistryCarbonylationHeterogeneous catalysisCarboxylateNuclear chemistryMaterials scienceCarbon monoxideOrganic chemistry
DOInot available

Abstract

fetched live from OpenAlex

The sol-gel method has advantages over the immobilization procedures employed in the preparation of heterogeneous catalysts. The physical entrapment of homogeneous transition-metal catalysts into silica sol-gel matrices is a simple procedure which makes it possible to convert a variety of soluble metal compounds into recyclable leach-proof catalysts that are more stable than their homogeneous analogues. In this paper, the sol-gel entrapment of cobalt pyridine-carboxylate Co(pic) 2·4H 2O and synthesis of dimethyl carbonate by oxidative carbonylation of methanol were systematically investigated in order to reveal the relation between the preparative conditions and the physico-chemical and catalytic properties of the xerogels. Co(pic) 2·4H 2O was physically entrapped in SiO 2 sol-gel matrices under mild conditions by the sol-gel method using tetraethoxysilane (TEOS) as the precursor. The xerogels were obtained by conventional drying at 80 ℃ for 12 h and then washed with boiling water. The content of cobalt in water was measured by atom absorption spectroscopy and a corporation degree of cobalt in a sol-gel matrix was found to be 2.8% (Co/Si molar ratio).FT-IR and TG-DTA characterization results showed that Co(pic) 2·4H 2O was entrapped in the three-dimensional network of silica and the decomposition temperature of the xerogel is increased by 15 ℃. N 2 adsorption measurement confirmed that the xerogels have high surface areas of 320 to 458 m 2/g. The gelation time was observed to extend with increasing water/TEOS molar ratio (R) or decreasing pH under acid conditions. The xerogel catalyst prepared at R=6 and pH=4 showed the highest activity for the oxidative carbonylation of methanol to dimethyl carbonate. The methanol conversion reached 5.73% after reaction for 3 h, while the conversion over the homogeneous catalyst Co(pic) 2·4H 2O was 6.53%. The xerogel catalyst could be used for 6 reaction cycles without any loss of activity. This suggested that the entrapment of homogeneous metal complex catalysts into sol-gel matrices is a promising procedure.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.527
Threshold uncertainty score0.774

Codex and Gemma teacher scores by category

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

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 head0.026
GPT teacher head0.237
Teacher spread0.211 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2002
Admission routes1
Has abstractyes

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