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Record W4234847113 · doi:10.26434/chemrxiv.7364225

Selective Generation of Singlet Oxygen in Chloride Accelerated Copper Fenton Chemistry

2018· preprint· en· W4234847113 on OpenAlexaff
Andrew Carrier, Collins Nganou, David A. Oakley, Yongli Chen, Ken D. Oakes, Stephanie MacQuarrie, Xu Zhang

Bibliographic record

VenueChemRxiv · 2018
Typepreprint
Languageen
FieldMaterials Science
TopicPorphyrin and Phthalocyanine Chemistry
Canadian institutionsCape Breton University
Fundersnot available
KeywordsChemistrySinglet oxygenCatalysisReactivity (psychology)OxygenReactive oxygen speciesChlorideCopperRadicalHydroxyl radicalPhotochemistryMedicinal chemistryInorganic chemistryOrganic chemistryBiochemistry

Abstract

fetched live from OpenAlex

<p>Singlet oxygen (<sup>1</sup>O<sub>2</sub>), a widely used reactive oxygen species (ROS) in industry and biomedical applications, plays a fundamental role throughout nature. We report a novel method to generate <sup>1</sup>O<sub>2</sub>selectively and efficiently through copper-based Fenton chemistry under circumneutral conditions enhanced by chloride as co-catalyst, with reactivity completely different than that observed in classical iron-based Fenton chemistry. The mechanism of its formation was elucidated through the kinetic studies of orthogonally reactive reporter molecules, i.e., singlet oxygen sensor green, 4-hydroxy-2,2,6,6-tetramethylpiperidine, and phenol, and selective ROS quenchers. This method selectively generates <sup>1</sup>O<sub>2</sub><i>in situ</i>neither relying on photosensitization nor resulting in side reactions, and together with the mechanistic understanding of the Cu-Fenton reaction, not only opens new possibilities in many industries, such as organic synthesis and antimicrobial treatments, but also provides insight into Cu and H<sub>2</sub>O<sub>2</sub>containing chemical, environmental, and biological systems.</p>

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), Insufficient payload (model declined to judge)
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 score0.011
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
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 head0.057
GPT teacher head0.283
Teacher spread0.226 · 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

Citations3
Published2018
Admission routes1
Has abstractyes

Explore more

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