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Record W3199890306 · doi:10.1021/acscatal.1c03252

Solar-Driven Glucose Isomerization into Fructose via Transient Lewis Acid–Base Active Sites

2021· article· en· W3199890306 on OpenAlexafffund
Jiu Wang, Heng Zhao, Bicheng Zhu, Steve Larter, Shaowen Cao, Jiaguo Yu, Md Golam Kibria, Jinguang Hu

Bibliographic record

VenueACS Catalysis · 2021
Typearticle
Languageen
FieldEnergy
TopicAdvanced Photocatalysis Techniques
Canadian institutionsUniversity of Calgary
FundersCanada First Research Excellence Fund
KeywordsChemistryIsomerizationLewis acids and basesPhotochemistryPhotocatalysisFructoseDeprotonationCatalysisSelectivityOrganic chemistry

Abstract

fetched live from OpenAlex

The selective glucose isomerization to fructose is an essential step for various industrial biofuels and biochemicals production. However, current biological and acid–base catalysis processes still suffer from poor glucose conversion and low fructose selectivity. Here, we demonstrate an effective strategy for fast sunlight-driven glucose isomerization with over 60% fructose selectivity. This process is realized by a rationally designed crystalline carbon nitride (CN) prepared via the combination of supramolecular preorganization and the molten-salt method. The high in-plane crystallinity and extended π-conjugation significantly enhance visible-light absorption and charge separation. We show that the surface nitrogen vacancies and cyano groups induce rearrangement of the electron cloud under light irradiation and introduce the transient Lewis acid–base active sites, which result in the activation of the oxygen atoms (O1 and O2) of glucose and the deprotonation of O2–H to selectively produce fructose. This work provides a protocol for biofuels/chemicals production via a photocatalysis process.

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)
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 score0.094
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
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.010
GPT teacher head0.252
Teacher spread0.242 · 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

Citations71
Published2021
Admission routes2
Has abstractyes

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