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Record W2115100665 · doi:10.1021/ma061700c

A Quantitative <sup>1</sup>H NMR Method for the Determination of Alkoxyamine Dissociation Rate Constants in Stable Free Radical Polymerization. Application to Styrene Dimer Alkoxyamines

2006· article· en· W2115100665 on OpenAlexaff
Lichun Li, Gordon K. Hamer, Michael K. Georges

Bibliographic record

VenueMacromolecules · 2006
Typearticle
Languageen
FieldChemistry
TopicAdvanced Polymer Synthesis and Characterization
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsChemistryDimerRadical polymerizationStyreneReaction rate constantPolymerizationDissociation (chemistry)AlkylBulk polymerizationProton NMRKineticsPolymer chemistryPhysical chemistryOrganic chemistryPolymerCopolymer

Abstract

fetched live from OpenAlex

A high-resolution 1 H NMR method was developed and applied to the determination of the dissociation rate constants ( k d values) of seven stable free radical polymerization (SFRP) model compounds, including three pairs of styrene dimer alkoxyamines, using oxygen as the alkyl radical scavenger. The efficiency and completeness of oxygen irreversible trapping were tested by taking advantage of the diastereoisomerism of the dimer alkoxyamines. The effects of alkoxyamine stereochemistry on the C−ON bond dissociation kinetics were also demonstrated. The 1 H NMR method was validated by comparing k d values obtained by this method with ESR and HPLC results previously reported for 2,2,6,6-tetramethyl-1-(1-phenylethoxy)piperidine, a commonly studied alkoxyamine. In contrast to ESR methods, the 1 H NMR procedure allows for the simultaneous determination of multiple k d values in a single experiment.

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 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: none
Teacher disagreement score0.787
Threshold uncertainty score0.757

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.009
GPT teacher head0.273
Teacher spread0.264 · 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

Citations24
Published2006
Admission routes1
Has abstractyes

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