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Record W2292367959

The Development of Catalysts for the Monoarylation of Ammonia and Related Challenging Cross-Coupling Reactions

2013· article· en· W2292367959 on OpenAlexvenueno aff
Pamela G. Alsabeh

Bibliographic record

VenueLibrary and Archives Canada (Government of Canada) · 2013
Typearticle
Languageen
FieldEngineering
TopicIndustrial Technology and Control Systems
Canadian institutionsnot available
Fundersnot available
KeywordsCatalysisAmmonia productionAmmoniaCoupling reactionCoupling (piping)ChemistryMaterials scienceMetallurgyOrganic chemistry
DOInot available

Abstract

fetched live from OpenAlex

The use of homogeneous organometallic catalysis for otherwise challenging chemical transformations is a concept that has gained significant interest in recent decades, providing access to a variety of useful chemical products. The catalytic reactivity of transition metals and non-reactive ancillary ligands that bind to the metal center has played an important role in such methods, with notable breakthroughs being Nobel Prize-winning reactions (palladium-catalyzed C-C cross-coupling, 2010). The research compiled in the thesis further develops the themes of ligand design and catalytic applications currently studied in the Stradiotto group. Key ideas throughout the thesis are to establish an understanding of the palladium/Mor-DalPhos catalyst system in ammonia arylation with respect to mechanism and substrate scope, and to expand the reactivity profile of the DalPhos ligand set to more challenging C-N and related cross-coupling processes. The first section describes an examination of the [Pd(cinnamyl)Cl] dimer/Mor-DalPhos catalyst system in C-N cross-coupling employing ammonia to better understand the catalyst formation process and to provide a guide for the development of precatalysts for otherwise challenging room-temperature ammonia monoarylations. Oxidative addition complex [(Mor-DalPhos)Pd(Ph)Cl] proved to be the optimal catalyst for arylation of ammonia at room temperature using aryl halides and tosylates. In the second section, ammonia cross-coupling was extended by applying it in the construction of indole frameworks, for the first time, which gave access to NH-indoles directly from ortho-alkynylbromoarenes. The Pd/JosiPhos was the superior catalyst system in comparison to Pd/Mor-DalPhos for this reaction and further stoichiometric studies revealed the reasons for this may be that the bulky arylalkyne ligand induces loss of ammonia from (Mor-DalPhos)Pd catalytic intermediates, and that catalyst inhibition by the alkyne substrate through irreversible metal binding is also a possible factor prior to the oxidative addition step. The reactivity profile of the DalPhos ligand set was successfully expanded in the third section of the thesis to palladium-catalyzed aminocarbonylation of aryl bromides using a pyridine-derived DalPhos variant (Pyr-DalPhos). Several different aryl and some heteroaryl bromides were accommodated in the coupling reaction with ammonia and carbon monoxide as reagents, providing aryl amide products in synthetically useful yields. The methodology described in the final thesis section demonstrated the use of Mor-DalPhos and [Pd(cinnamyl)Cl] dimer mixtures for gaining access to the first examples of ketone alpha-arylation employing aryl methanesulfonates (mesylates) and expanding the scope of amination reactions involving these non-halide aryl electrophiles to primary alkyl amines for the first time. These transformations featured acetone and methylamine as coupling partners, both of which can be difficult substrates to monoarylate but were found to be coupled with ease in this chemistry.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.146
Teacher spread0.142 · 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 source (direct Gemma or distilled Codex), 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
Published2013
Admission routes1
Has abstractyes

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