MétaCan
Menu
Back to cohort
Record W4328105405 · doi:10.1016/j.cattod.2023.114127

Sulfosuccinic acid-based metal-center catalysts for the synthesis of HMF from carbohydrates

2023· article· en· W4328105405 on OpenAlex
Guillermo Portillo‐Perez, Surabhi Pandey, Marie‐Josée Dumont

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCatalysis Today · 2023
Typearticle
Languageen
FieldEngineering
TopicCatalysis for Biomass Conversion
Canadian institutionsUniversité LavalMcGill University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCatalysisChemistryBifunctionalYield (engineering)FructoseIsomerizationSucroseLigand (biochemistry)Organic chemistrySubstrate (aquarium)Bifunctional catalyst5-hydroxymethylfurfuralCombinatorial chemistryBiochemistryMaterials science

Abstract

fetched live from OpenAlex

5-Hydroxymethylfurfural (HMF) has been highlighted as a promising platform chemical and a keystone for the implementation of carbohydrate-based biorefineries . However, substrate cost remains a hurdle for the industrialization of HMF. Using Cr, Zr, and Ti precursors, three novel bifunctional catalysts with sulfosuccinic acid as ligand were developed, and their catalytic properties tested on the synthesis of HMF. Cr-SSA was the most effective in producing HMF, reaching 60% yield after 3 h. Similar results were obtained from sucrose, reaching 60% molar yield. Kinetic models were developed to provide a better understanding of the reactions’ pathway, suggesting that glucose-to-fructose isomerization was the preferred pathway for HMF formation when using Cr-SSA.

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.

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: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.985

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.012
GPT teacher head0.216
Teacher spread0.204 · 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