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Oxidative Dehydrogenation of <i>n</i>-Butane to C4 Olefins Using Lattice Oxygen of VO<i><sub>x</sub></i>/Ce-meso-Al<sub>2</sub>O<sub>3</sub> under Gas-Phase Oxygen-Free Conditions

2020· article· en· W3021197921 on OpenAlexaff
Muhammad Y. Khan, Sagir Adamu, Rahima A. Lucky, Shaikh Abdur Razzak, Mohammad M. Hossain

Bibliographic record

VenueEnergy & Fuels · 2020
Typearticle
Languageen
FieldMaterials Science
TopicCatalytic Processes in Materials Science
Canadian institutionsWestern University
FundersKing Fahd University of Petroleum and Minerals
KeywordsCatalysisDehydrogenationChemistryMesoporous materialButaneInorganic chemistryCeriumDesorptionOxygenAdsorptionPhysical chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

High-performance, fluidizable VOx/Ce-meso-Al2O3 catalysts were prepared by an excessive solvent approach. The prepared catalysts were characterized using various physicochemical techniques in order to secure desired properties. XRD, Raman, and FTIR analyses indicated the presence of amorphous VOx phases on Ce-meso-Al2O3. Nitrogen adsorption isotherm analysis confirmed a mesoporous framework with a high surface area of the catalysts. H2-TPR reduction showed an active and stable behavior of the catalysts in repeated reduction and oxidation cycles. The NH3-TPD and NH3 desorption kinetics analysis revealed that the synthesized catalysts have moderate acidities and low activation energies of NH3 desorption, suggesting weak metal–support interactions. The VOx/Ce-meso-Al2O3 catalysts were evaluated for n-butane oxidative dehydrogenation (BODH) using a fluidized CREC riser simulator under gas-phase oxygen-free conditions. The reaction time and reaction temperature were varied between 5 and 25 s and 450–575 °C, respectively. It was found that BODH with 0.2 wt % cerium-doped VOx/meso-Al2O3 catalysts gives the highest selectivity (62.3%) of C4 olefins with a conversion of 10.6% at 450 °C and 5 s. Furthermore, the fluidizable VOx/Ce-meso-Al2O3 catalyst showed a stable performance over repeated feed injections followed by catalyst regeneration cycles for BODH.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.024
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0020.001
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 head0.022
GPT teacher head0.269
Teacher spread0.247 · 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

Citations20
Published2020
Admission routes1
Has abstractyes

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