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Record W2323878865 · doi:10.1021/om4011406

A Dual-Emissive Phosphine–Borane Lewis Pair with a U-Shaped Linker: Impact of Methylation and Complexation on Fluoride Binding Affinity

2014· article· en· W2323878865 on OpenAlexafffund
Yufei Li, Youngjin Kang, Jiasheng Lu, Ian Wyman, Soo‐Byung Ko, Suning Wang

Bibliographic record

VenueOrganometallics · 2014
Typearticle
Languageen
FieldChemistry
TopicOrganoboron and organosilicon chemistry
Canadian institutionsQueen's University
FundersKillam Trusts
KeywordsChemistryBoraneFluoridePhosphinePhosphoniumLinkerPhotochemistryFrustrated Lewis pairFluorescenceSolventPhosphonium saltBinding constantLewis acids and basesIonSalt (chemistry)Inorganic chemistryPolymer chemistryMedicinal chemistryOrganic chemistryBinding siteCatalysis

Abstract

fetched live from OpenAlex

To investigate phosphine to borane through-space charge transfer and its utility in anion sensing and the formation of metal complexes, a phosphine–borane Lewis pair ( 1 ) connected by a U-shaped linker has been synthesized. 1 could be readily converted to a phosphonium salt ( 2 ) and two 2:1 complexes with Au(I) ( 1-Au ) and Pt(II) ( 1-Pt ). The photophysical properties of the new compounds were examined and compared. Compound 1 displayed an intense P → B CT transition and a bright solvent-dependent dual emission that is switchable by fluoride ions. 2 and 1-Pt showed a turn-off and a turn-on fluorescent response, respectively, toward fluoride ions. The binding constant of 2 with F – was found to be 2 orders of magnitude greater than that of 1 . The mechanism that is responsible for the distinct fluorescence response of 1, 2, and 1-Pt toward fluoride ions is proposed.

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 head0.014
GPT teacher head0.248
Teacher spread0.234 · 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

Citations23
Published2014
Admission routes2
Has abstractyes

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