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Record W3183603182 · doi:10.1149/ma2021-01461869mtgabs

Electrocatalytic Formation of C-C Bonds in Phenolic Compounds

2021· article· en· W3183603182 on OpenAlexaff
Sanela Martić

Bibliographic record

VenueECS Meeting Abstracts · 2021
Typearticle
Languageen
FieldChemistry
TopicRadical Photochemical Reactions
Canadian institutionsTrent University
Fundersnot available
KeywordsElectrochemistryButylated hydroxytolueneElectrochromismChemistryPhenolsRadicalElectrocatalystCyclic voltammetryOrganic chemistryMedicinal chemistryPhotochemistryElectrodeAntioxidantPhysical chemistry

Abstract

fetched live from OpenAlex

Electrocatalytic transformations giving rise to new C-C bond formation and new products is of value. We have recently discovered that phenolic compounds undergo selective electrochemical oxidation giving rise to reactive phenoxyl radicals which combine to produce a product with new C-C bond formed [1]. Five phenolic compounds including butylated hydroxytoluene (BHT), 4- tert -butylphenol (4TBP), 2- tert -butylphenol (2TBP), 2,4,6-tri- tert -butylphenol (TTBP), and 2,6,-di- tert -butylphenol (DTBP) were systematically evaluated by electrochemical methods to determine their oxidation/reduction potentials as a function of concentration. At identical experimental conditions, only DTBP exhibited electrochromic behavior which was dependent on concentration and electrochemical cycling. The electrocatalytic oxidation of DTBP resulted in a formation of a new compounds due to C-C coupling. The reaction was monitored by electrochemical methods, UV-vis spectroscopy and final product characterized by X-ray diffraction. Recently, we expanded the electrocatalysis to include diverse phenolics such as dihydroxybiphenol (DHBP) which also formed a yellow-coloured solution, indicating a product formation. The electrochemical and spectroscopic characterization of DHBP reaction will be described. References Zabik, N., Virca, C. N., McCormick, T., Martic-Milne, S. (2016). Selective electrochemical versus chemical oxidation of bulky phenols. J. Phys. Chem. B. 120: 8914-8924.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.354
Threshold uncertainty score0.493

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0000.000

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 head0.014
GPT teacher head0.252
Teacher spread0.237 · 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.

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
Published2021
Admission routes1
Has abstractyes

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