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Record W3171839747 · doi:10.1002/cjce.24201

Quinoline adsorption from organic phase on <scp>X</scp> ‐type zeolites: Experimental and <scp>DFT</scp> study

2021· article· en· W3171839747 on OpenAlexvenueno aff
Salman Ofoghi, Mansooreh Soleimani, Maryam Takht Ravanchi

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2021
Typearticle
Languageen
FieldEngineering
TopicCatalysis and Hydrodesulfurization Studies
Canadian institutionsnot available
Fundersnot available
KeywordsZeoliteAdsorptionQuinolineChemistryFourier transform infrared spectroscopyIon exchangeOctaneInorganic chemistryCrystallinitySodaliteIonPhysical chemistryOrganic chemistryChemical engineeringCatalysisCrystallography

Abstract

fetched live from OpenAlex

Abstract In this study, the adsorptive denitrogenation from organic phase over zeolite adsorbents was studied by batch adsorption experiments. An appropriate amount of quinoline as a nitrogen‐containing compound was dissolved in iso‐octane and utilized as feed. The physicochemical properties of the adsorbents were characterized by X‐ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), N 2 physical adsorption, and energy‐dispersive X‐ray spectroscopy (EDS). The NiX zeolites showed a higher ion‐exchange degree and lower crystallinity. The maximum adsorption capacity and kinetic constant of CrX zeolite as compared to NaX zeolite were improved by 10% and 70%, respectively. Based on the kinetic and thermodynamic studies, it was found that CrX zeolite is a very efficient adsorbent for the removal of quinoline from iso‐octane. Also, the underlying mechanism for quinoline adsorption on parent X and ion‐exchanged zeolite was investigated by the density functional theory (DFT) method. DFT results indicated that among all the cations in zeolites, Cr 3+ shows the strongest interaction with nitrogen in the quinoline molecule. The used parent NaX and ion‐exchanged zeolite can also be regenerated by ethanol elution and heating at 573 K, and 65% to 90% of the adsorption capacity of the zeolites was regenerated by these methods.

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 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 score0.007
Threshold uncertainty score0.747

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.012
GPT teacher head0.221
Teacher spread0.208 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations9
Published2021
Admission routes1
Has abstractyes

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