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Record W2321145881 · doi:10.1021/ef201047z

Adsorption of Athabasca Vacuum Residues and Their Visbroken Products over Macroporous Solids: Influence of Their Molecular Characteristics

2011· article· en· W2321145881 on OpenAlexaff
Francisco López-Linares, Lante Carbognani, Azfar Hassan, Pedro Pereira‐Almao, Estrella Rogel, César Ovalles, Ajit Pradhan, John S. Zintsmaster

Bibliographic record

VenueEnergy & Fuels · 2011
Typearticle
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsAdsorptionAromaticityChemistryHeteroatomSolubilityNitrogenElemental analysisTolueneSulfurOxygenAnalytical Chemistry (journal)Inorganic chemistryOrganic chemistryMolecule

Abstract

fetched live from OpenAlex

An adsorption study of Athabasca vacuum residue (VR) and its visbroken (VB) products over in-house made macroporous Ca–kaolin and Ca–Ba–kaolin adsorbents was carried out at ambient temperatures. Adsorption experiments were performed for 120 min in toluene solution of the adsorbates, monitored via ultraviolet–visible (UV–vis) spectrophotometry to determine the corresponding uptake. The extent of the uptake was correlated with molecular parameters obtained from 1 H and 13 C nuclear magnetic resonance (NMR) spectroscopy, elemental analysis, and solubility profiles to determine which properties may enhance the adsorption. It was found that the severity of thermal cracking induced noticeable changes in solubility profiles, aromaticity ( f a ), total naphthenic carbon (TNC), and secondary methylene groups on the corresponding products. Furthermore, heteroatom content also changed with 545 °C+ conversions, leading to products with decreased sulfur contents and enhanced in nitrogen and oxygen as the severity increases. Higher uptakes were observed in adsorbates with more aromaticity, higher solubility profile, and higher nitrogen and oxygen contents. Trends between these molecular properties with uptakes allowed for the prediction of the potential adsorption capacity of the thermal-cracked products over this type of adsorbent.

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 score0.005
Threshold uncertainty score0.665

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 head0.009
GPT teacher head0.206
Teacher spread0.197 · 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

Citations26
Published2011
Admission routes1
Has abstractyes

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