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Record W4285727150 · doi:10.1002/celc.202200605

Correlating Structures to Electrochemiluminescence Efficiencies of Silole Compounds in Coreactant Systems

2022· article· en· W4285727150 on OpenAlexafffund
Xiaoli Qin, Liuqing Yang, Xin Wang, Darshil Patel, Kenneth Chu, Lindsay Kelland, Jonathan R. Adsetts, Congyang Zhang, Mark S. Workentin, Brian L. Pagenkopf, Zhifeng Ding

Bibliographic record

VenueChemElectroChem · 2022
Typearticle
Languageen
FieldChemistry
TopicElectrochemical Analysis and Applications
Canadian institutionsWestern University
FundersChina Scholarship CouncilWestern UniversityNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of ChinaOntario Innovation Trust
KeywordsElectrochemiluminescenceThiopheneChemistryConjugated systemChromophorePhotochemistryCombinatorial chemistryPhysical chemistryOrganic chemistryElectrodePolymer

Abstract

fetched live from OpenAlex

Abstract To develop efficient electrochemiluminescence (ECL) of activated silole chromophores, the relative ECL efficiencies of eight thiophene‐containing compounds are firstly studied in a coreactant pathway. The experimental results show that the extended π‐conjugated systems and donor groups of the silole emitters affect both the radical stability and emission efficiencies. It is found that the 1,1‐di‐ tert ‐butyl‐2,5‐bis[(2,2′‐bithiophen)‐5‐yl]‐3,4‐diphenylsilole (2c) compound with benzoyl peroxide (BPO) as a coreactant exhibits the highest relative ECL efficiencies among the studied systems due to its structural properties. Moreover, the absolute ECL efficiency of the potential pulsing/ECL experiment in the coreactant pathway is 6‐fold larger than that in the potentiodynamic experiment due to the short time interval for the radical species to meet and react. This work provides a guidance for structural modification of silole compounds to tune ECL performance.

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 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 score0.005
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
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.008
GPT teacher head0.224
Teacher spread0.216 · 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 teacher head, not a consensus.

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

Citations10
Published2022
Admission routes2
Has abstractyes

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