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Record W4407719734 · doi:10.1002/cjce.25648

Application of immobilized <scp> <i>Burkholderia cepacia</i> </scp> lipase on clay in the production of ethyl esters

2025· article· en· W4407719734 on OpenAlexvenueno aff
Deise Molinari, Edson Antônio da Silva, Ana Caroline Raimundini Aranha, Sirlei Marques Paschoal, Emerson Barrios Mogollón, Lucas Silva Figueiredo, Pedro Augusto Arroyo, Gisella Maria Zanin

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEnzyme Catalysis and Immobilization
Canadian institutionsnot available
Fundersnot available
KeywordsLipaseBurkholderiaChemistryYield (engineering)Molar ratioEthanolNuclear chemistryBiocatalysisChromatographyOrganic chemistryEnzymeCatalysisBacteriaReaction mechanismMaterials science

Abstract

fetched live from OpenAlex

Abstract The present work aimed to use commercial Spectrogel clay (type C) as a support for immobilizing Burkholderia cepacia lipase to produce ethyl esters. The highest yield in ethyl ester production was obtained under the following conditions: 1% water (kg kg −1 oil), oil‐to‐ethanol molar ratio of 1:3, and 15% immobilized biocatalyst (kg kg −1 oil). A kinetic assay was conducted under the optimal conditions obtained to validate the experiment, which already showed a high yield within 6 h (78.82 ± 2.28% for LBC‐ADS and 89.42 ± 2.65% for LBC‐CB) and reaction equilibrium in 18 h (84.76 ± 0.36% for LBC‐ADS and 98.05 ± 1.24% for LBC‐CB). Heterogeneity tests were conducted at 1 and 12 h of reaction to analyze the interaction between the support and the enzyme, showing that after the removal of the biocatalysts after 1 h of reaction, there was no significant release of enzymes into the reaction medium.

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)0.001
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 score0.009
Threshold uncertainty score0.207

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.005
GPT teacher head0.208
Teacher spread0.203 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

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