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Record W2981675369 · doi:10.1021/acs.iecr.9b03791

Synergic Effect of GaO <sup>+</sup> /Brønsted Acid in Hierarchical Ga/Al-ZSM-5 Bifunctional Catalysts for 1-Hexene Aromatization

2019· article· en· W2981675369 on OpenAlexaff
Xiaofang Su, Yujun Fang, Xuefeng Bai, Wei Wu

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2019
Typearticle
Languageen
FieldChemistry
TopicZeolite Catalysis and Synthesis
Canadian institutionsPetro-Canada
FundersNational Natural Science Foundation of China
KeywordsAromatizationDehydrogenationCatalysisBifunctionalBrønsted–Lowry acid–base theorySelectivityMesoporous materialChemistryZSM-5ZeoliteInorganic chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Nano-Ga/Al-ZSM-5 zeolites are synthesized by the in situ isomorphous substitution method (I-series) and a secondary synthesis method in a Ga(NO3)3/NH4F solution (S-series). The effects of the Ga incorporation approach on the texture, acidity, and catalytic behavior of 1-hexene aromatization are studied in this work. The reaction stability of the Ga/Al-ZSM-5 catalysts is notably enhanced compared with that of the pristine ZSM-5; this difference is mainly due to the improved mesoporosity and weakened Brønsted acidity. Moreover, the uniform intracrystalline mesopores generated in the secondary synthesized samples effectively promote active GaO+ species in closer proximity to the acidic protons, thus leading to stronger Lewis acid sites (LAS). Therefore, the S-2 sample prepared by secondary synthesis in a high concentration of Ga(NO3)3/NH4F solution exhibited higher BTX selectivity because of the greater synergic effect and higher dehydrogenation activity of the GaO+/Brønsted acid coordination centers in 1-hexene aromatization.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.029
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.031
GPT teacher head0.291
Teacher spread0.259 · 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

Citations52
Published2019
Admission routes1
Has abstractyes

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