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Record W2612761695 · doi:10.1002/slct.201700251

Solvent‐Free Oxidative Synthesis of 2‐Substituted Benzimidazoles by Immobilized Cobalt Oxide Nanoparticles on Alumina/Silica Support

2017· article· en· W2612761695 on OpenAlexaff
Panyala Linga Reddy, R. Arundhathi, Mohit Tripathi, Prashant Chauhan, Ning Yan, Diwan S. Rawat

Bibliographic record

VenueChemistrySelect · 2017
Typearticle
Languageen
FieldChemistry
TopicChemical Synthesis and Reactions
Canadian institutionsUniversity of Toronto
FundersUniversity of Delhi
KeywordsCatalysisOxidizing agentCobaltReagentSolventCobalt oxideNanoparticleOxidative coupling of methaneBET theoryNuclear chemistryMaterials scienceSpecific surface areaChemistryChemical engineeringInorganic chemistryOrganic chemistryNanotechnology

Abstract

fetched live from OpenAlex

Abstract Highly active cobalt oxide nanoparticles supported on alumina/silica (Co 3 O 4 @Al 2 O 3 /SiO 2 ) were prepared by wet impregnation method and successfully employed for the solvent free (neat) oxidative coupling of benzyl alcohols/amines with o ‐phenylenediamines for the synthesis of 2‐substituted benzimidazoles. The catalyst prepared during this study was characterized by various techniques like XRD, XPS, HR‐TEM, SEM‐EDAX, BET surface area and ICP‐AES analysis. Porous alumina/silica (99:1) having high surface area served as a protective heterogeneous support on which the Co 3 O 4 nanoparticles (size 2–3.5 nm) acted as an active catalyst for air‐mediated oxidative coupling. The present methodology offers significant advantages for the preparation of bioactive benzimidazole scaffold and avoids the use of hazardous and toxic reagents/solvents, oxidizing agents and elevated reaction temperatures. Moreover, the catalyst can be recovered by centrifugation and its recyclability was demonstrated up to six successive runs without any appreciable loss in the catalytic activity

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.014
GPT teacher head0.253
Teacher spread0.239 · 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 source (direct Gemma or distilled Codex), 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

Citations24
Published2017
Admission routes1
Has abstractyes

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