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Record W2781311218 · doi:10.1021/acssuschemeng.7b02992

Light-Induced Sonogashira C–C Coupling under Mild Conditions Using Supported Palladium Nanoparticles

2017· article· en· W2781311218 on OpenAlex
Ayda Elhage, Anabel E. Lanterna, J. C. Scaiano

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 · 2017
Typearticle
Languageen
FieldChemistry
TopicCatalytic Cross-Coupling Reactions
Canadian institutionsUniversity of Ottawa
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research ChairsCanada Foundation for Innovation
KeywordsSonogashira couplingPalladiumCatalysisArylPhotochemistryChemistryIrradiationAbsorption (acoustics)ExcitationCombinatorial chemistryMaterials scienceOrganic chemistry

Abstract

fetched live from OpenAlex

The Sonogashira reaction can easily be photocatalyzed by supported palladium nanoparticles. Herein, we demonstrate that the direct excitation of PdNPs can catalyze the C–C coupling between different aryl iodides and acetylenes under very mild conditions in short reaction times. The catalyst is air- and moisture-tolerant and can be supported on a wide range of materials, including inert ones such as nanodiamonds. Study of the action spectrum demonstrates that direct excitation of the PdNPs is required, and in the case of Pd@TiO 2, for example, visible excitation works well whereas UVA (368 nm) irradiation is ineffective because of TiO 2 shielding the Pd absorption. The catalyst can be reused a couple of times, but when it loses activity, it can be readily reactivated by a simple reductive photochemical strategy.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
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 score0.012
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.021
GPT teacher head0.274
Teacher spread0.253 · 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