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Record W2318174119 · doi:10.1021/cs5005823

Metal-Free Photocatalytic Radical Trifluoromethylation Utilizing Methylene Blue and Visible Light Irradiation

2014· article· en· W2318174119 on OpenAlexafffund
Spencer P. Pitre, Christopher D. McTiernan, Hossein Ismaili, J. C. Scaiano

Bibliographic record

VenueACS Catalysis · 2014
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicFluorine in Organic Chemistry
Canadian institutionsUniversity of Ottawa
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research ChairsCanada Foundation for Innovation
KeywordsTrifluoromethylationChemistryPhotocatalysisPhotochemistryPhotoredox catalysisMethylene blueCatalysisPhotosensitizerMoietyFlash photolysisTrifluoromethylMethyleneTransition metalCombinatorial chemistryOrganic chemistryKineticsReaction rate constant

Abstract

fetched live from OpenAlex

The use of organofluorine compounds, especially those with an incorporated trifluoromethyl moiety, has increased dramatically in both the pharmaceutical and agrochemical industry. It has therefore become imperative to develop a mild and efficient synthetic technique for the inclusion of trifluoromethyl groups. Herein, we report the first use of methylene blue as a photosensitizer for the catalytic radical trifluoro- and hydrotrifluoromethylation of electron-rich heterocycles as well as terminal alkenes and alkynes under visible light irradiation. These reactions proceed with moderate to good yields at low catalyst concentrations; short irradiation times; and most importantly, without the need for potentially toxic transition-metal catalysts. In this work, considerable emphasis was also placed on understanding the kinetics of the mechanistically key steps through the use of laser flash photolysis techniques to more efficiently optimize the reaction conditions.

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 score0.003

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.045
GPT teacher head0.358
Teacher spread0.313 · 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

Citations240
Published2014
Admission routes2
Has abstractyes

Explore more

Same venueACS CatalysisSame topicFluorine in Organic ChemistryFrench-language works237,207