MétaCan
Menu
Back to cohort
Record W2030189401 · doi:10.1007/s11746-012-2139-2

Lipase Immobilized Methacrylate Polymer Monolith Microreactor for Lipid Transformations and Online Analytics

2012· article· en· W2030189401 on OpenAlexafffund
Samuel M. Mugo, Karl Ayton

Bibliographic record

VenueJournal of the American Oil Chemists Society · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEnzyme Catalysis and Immobilization
Canadian institutionsMacEwan University
FundersMacEwan UniversityUniversity of Alberta
KeywordsMicroreactorMonolithLipaseChemistryGlycidyl methacrylateChromatographyImmobilized enzymeMethacrylateLauric acidPolymerChemical engineeringOrganic chemistryCatalysisPolymerizationEnzyme

Abstract

fetched live from OpenAlex

Abstract This communication entails development of a facile continuous flow lipase immobilized poly(glycidyl methacrylate‐ co ‐ethylene dimethacrylate (poly(GMA‐ co ‐EDMA)) monolith microreactor for application in lipid transformations. Candida antarctica lipase B was covalently immobilized on poly(GMA‐ co ‐EDMA) monolith prepared in a 700‐μm (internal diameter) silica capillary. The specific activity of the immobilized lipase was calculated to be 30 ± 0.03 U/mg, where U refers to μg p ‐nitrophenol generated/min from 3.5 mM p ‐nitrophenyl butyrate solution. The microreactor performance was further tested for synthesis of lauryl laurate via esterification. Conversions of up to 97 % were realized at a flow rate of 10 μL/min of a mixture of 0.1 M in both lauric acid and lauryl alcohol. These microreactors could be reused at least 15 times over a 1 month time period, stored at room temperature, with minimal to no reduction in the activity of the enzyme. We have also demonstrated microreactors to be useful for facile transesterification of castor oil triglycerides with online ESI–MS analytics key in lipidomics applications.

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 score0.023
Threshold uncertainty score0.352

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 head0.012
GPT teacher head0.270
Teacher spread0.259 · 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

Citations21
Published2012
Admission routes2
Has abstractyes

Explore more

Same venueJournal of the American Oil Chemists SocietySame topicEnzyme Catalysis and ImmobilizationFrench-language works237,207