MétaCan
Menu
Back to cohort
Record W2331175576 · doi:10.1021/ie400695m

Combined Effects of EDTA and Heteroatoms (Ti, Zr, and Al) on Catalytic Activity of SBA-15 Supported NiMo Catalyst for Hydrotreating of Heavy Gas Oil

2014· article· en· W2331175576 on OpenAlex
Sandeep Badoga, Ajay K. Dalai, John Adjaye, Yongfeng Hu

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2014
Typearticle
Languageen
FieldEngineering
TopicCatalysis and Hydrodesulfurization Studies
Canadian institutionsCanadian Light Source (Canada)Syncrude (Canada)University of Saskatchewan
Fundersnot available
KeywordsSulfidationHydrodesulfurizationCatalysisMolybdenumHydrodenitrogenationIncipient wetness impregnationHigh-resolution transmission electron microscopyChemisorptionXANESChemistryInorganic chemistryNuclear chemistrySelectivityMaterials scienceOrganic chemistryNanotechnology

Abstract

fetched live from OpenAlex

M-SBA-15 (M = Ti, Al, and Zr) materials with a Si/M ratio of 20 were synthesized using a direct synthesis method. M-SBA-15 supported NiMo hydrotreating catalysts with and without EDTA was prepared by an incipient wetness impregnation method. A EDTA/Ni molar ratio of 2 was used for catalysts with EDTA. The hydrotreating activities of these catalysts were measured using Athabasca bitumen derived heavy gas oil, and comparison was done with the performance of NiMo/SBA-15 and NiMo/γ-Al 2 O 3 catalysts. All catalysts were thoroughly characterized by BET, TPR, TPD, CO-chemisorption, XRD, XANES, HRTEM, ICP-MS, and 13 C NMR. Incorporation of Ti, Al, and Zr in SBA-15 framework results in an increase in the surface acidity and metal support interactions in otherwise neutral SBA-15 material. This increases the dispersion, and HDS, HDN and HDA activity of a NiMo/SBA-15 catalyst increases by 12%, 70%, and 22%, respectively, as in the case of a NiMo/Ti-SBA-15 (Cat-Ti) catalyst. EDTA addition helps in better redispersion of molybdenum during sulfidation/activation as indicated by HRTEM and CO chemisorption studies. A XANES Mo LIII-edge study for the oxide state of catalysts reveals that EDTA helps in the formation of a greater number of molybdenum in octahedral structures which are easily reducible during sulfidation as compared to molybdenum in tetrahedral structures. A power law based kinetic study indicates that addition of EDTA lowers the activation energy, which could be due to formation of a more favorable Type II NiMoS active site. The activity studies show that using EDTA increases the HDS, HDN, and HDA activity of a NiMo/M-SBA-15 catalyst by 18%, 36%, and 22%, respectively, as in the case of a NiMo/Ti-SBA-15/2EDTA (Cat-TiE) catalyst. Based on the results from different characterization techniques, the schematic is presented related to the effect of EDTA-Mo-support interactions on dispersion of active metals in catalysts. The results from characterization techniques are in parallel with catalytic activity which follows the order Cat-TiE > Cat-AlE > Cat-ZrE > Cat- Ti. However, the catalytic activity of Cat-TiE is almost comparable to that of a NiMo/γ-Al 2 O 3 catalyst and has the potential for superior hydrotreating catalyst.

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.

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 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 score0.026
Threshold uncertainty score0.867

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.031
GPT teacher head0.282
Teacher spread0.250 · 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