MétaCan
Menu
Back to cohort
Record W2330909441 · doi:10.1021/ie101134k

Kinetics of Esterification of Phenylacetic Acid with <i>p</i>-Cresol over H-β Zeolite Catalyst under Microwave Irradiation

2011· article· en· W2330909441 on OpenAlex

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 · 2011
Typearticle
Languageen
FieldChemistry
TopicMicrowave-Assisted Synthesis and Applications
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsYield (engineering)CatalysisPhenylacetic acidZeoliteChemistryCresolMicrowave irradiationSolventReaction rateKineticsChemical kineticsIrradiationMicrowaveAnalytical Chemistry (journal)ThermodynamicsMaterials scienceOrganic chemistryPhenolComposite material

Abstract

fetched live from OpenAlex

Heterogeneous esterification of phenylacetic acid with p -cresol over H-β zeolite was studied without using any solvent. Experiments were designed, conducted, and analyzed to study the effect of two different types of heating on the reaction yield. Primarily, the comparison was made between using the microwave irradiation and conventional heating. Microwave irradiation was found to be superior to conventional heating in terms of yields of ester for short reaction periods. The effects of reaction parameters such as catalyst amount, mole ratio of reactants, reaction time, reaction temperature, and water removal were investigated under microwave heating to optimize ester yield. Conversion of phenylacetic acid was studied at different temperatures, and the kinetics of the reaction was modeled using the Langmuir-Hinshelwood-Hougen-Watson (LHHW) model. The corresponding model parameters were estimated by using nonlinear least-squares method. The reaction parameters thus obtained were used to evolve simulated values of conversion. Experimental values were found to be in very good agreement with the simulated values as evident from regression coefficient value of 0.987.

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)0.000
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 score0.850

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 integrity0.0000.001
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 head0.106
GPT teacher head0.285
Teacher spread0.179 · 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