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Record W4385789612 · doi:10.1021/acscatal.3c02708

Conversion of Isosorbide Diacetate to 1,6-Diacetoxyhexane by a Combined Hetero-/Homogeneous Tandem Catalyst System

2023· article· en· W4385789612 on OpenAlexafffund
Gabriel Hart Slater-Eddy, Aidan E. England, Diana Q. Lima, Igor T. Cunha, Maryanne K. Stones, Laura Earnden, Juan Sebastian Montoya Pareja, Kareem Skinner, D.V. Soldatov, Joshua van der Zalm, Marcel Schlaf

Bibliographic record

VenueACS Catalysis · 2023
Typearticle
Languageen
FieldEngineering
TopicCatalysis for Biomass Conversion
Canadian institutionsUniversity of Guelph
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCatalysisChemistryIsosorbideYield (engineering)SelectivitySubstrate (aquarium)Organic chemistryNuclear chemistryMaterials science

Abstract

fetched live from OpenAlex

The combination of Ru/C with La(OTf) 3 as the activating Lewis acid and dimethylsulfone (DMS) as a modifier in HOAc solvent enables the conversion of the glucose derivative isosorbide diacetate (2,5-di- O -acetyl-1,4:3,6-dianhydro- d -glucitol) to 1,6-diacetoxyhexane (hexane-1,6-diyl diacetate) in up to 22% yield with a blend of alkanes as side-products resulting from total hydrodeoxygenation (HDO) of the substrate. Serendipitously, the use of DMS added as an internal standard and initially assumed to be inert led to the modification of the catalyst, effecting attenuated catalyst system activity and thus higher selectivity. This allows for the persistence of the partially deoxygenated desired acetylated α,ω-diol product in the reaction mixture. SEM-EDS and XPS analyses of the recovered catalyst showed that the modification consists of a concomitant deposition of La 3+ and sulfur on the catalyst surface.

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 score0.048
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
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.002

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 head0.006
GPT teacher head0.188
Teacher spread0.183 · 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

Citations4
Published2023
Admission routes2
Has abstractyes

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