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Record W2937279328 · doi:10.1021/acssuschemeng.9b00576

Amine-Functionalized Mesoporous Silica as a Support for on-Demand Release of Copper in the A<sup>3</sup>-Coupling Reaction: Ultralow Concentration Catalysis and Confinement Effect

2019· article· en· W2937279328 on OpenAlex
Júlio C. S. Terra, Audrey Moores, Flávia C.C. Moura

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueACS Sustainable Chemistry & Engineering · 2019
Typearticle
Languageen
FieldChemistry
TopicCatalytic Cross-Coupling Reactions
Canadian institutionsMcGill UniversityCentre in Green Chemistry and Catalysis
FundersFonds de recherche du Québec – Nature et technologiesCanada Foundation for InnovationNatural Sciences and Engineering Research Council of CanadaCanada Research ChairsMcGill University
KeywordsCatalysisMesoporous materialMesoporous silicaCopperCoupling reactionAmine gas treatingChemistryCovalent bondMCM-41Heterogeneous catalysisChemical engineeringCatalyst supportMetalSynergistic catalysisYield (engineering)Inorganic chemistryMaterials scienceOrganic chemistryMetallurgy

Abstract

fetched live from OpenAlex

The study of catalysts activity at ultralow concentration is of prime importance for the development of more sustainable catalytic processes. In this work, we designed a mesoporous MCM-41 silica with covalent functionalization with amine groups at different levels of coverage. This material was used as a support to immobilize small quantities of Cu(I) species to be used as a catalyst in the A3-coupling reaction. The support design allowed controlled release of the catalytically active species as well as its scavenging after reaction. This system achieved excellent catalytic performance, leading to 95% yield of the desired propargylamine within 2 h of reaction at 100 °C under microwave conditions, using only 0.02 mol % of catalyst, the lowest catalyst amount ever reported for this reaction and high TON (4750) and TOF (2375 h–1). An interesting effect was noticed, where the catalyst on the support yielded improved reaction rates as compared to unsupported catalysts in solution under the same concentration conditions. We discuss the possibility of a confinement of metal species inside the mesoporous structure of the support, which made the immobilized system more effective than its homogeneous counterpart. The present study pushes the limits of A3-coupling reaction conditions and the potential of supported metal catalysis.

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.

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 categoriesMeta-epidemiology (narrow)
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 score0.063
Threshold uncertainty score1.000

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 head0.004
GPT teacher head0.221
Teacher spread0.217 · 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