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Record W2008325237 · doi:10.5650/jos.ess13105

Stability of Soybean Oil Degumming Using Immobilized Phospholipase A2

2013· article· en· W2008325237 on OpenAlexaff
Dianyu Yu, Xiaoxing Ma, Lianzhou Jiang, Walid Elfalleh, Shenghua He, Yanming He, Jianing Zhang, Lizhi Hu

Bibliographic record

VenueJournal of Oleo Science · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEnzyme Catalysis and Immobilization
Canadian institutionsScience North
FundersNational Natural Science Foundation of China
KeywordsPhospholipase A2ChemistryThermal stabilitySoybean oilChromatographyImmobilized enzymePhospholipase AEnzymeBiochemistryOrganic chemistry

Abstract

fetched live from OpenAlex

The aim of this study was evaluation of stability of immobilized phospholipase A2 (PLA2) for soybean oil degumming. Also, the effect of reaction time on residual phosphorus levels was investigated according to the optimum pH and temperature. The free PLA2 and three immobilized PLA2 demonstrated significant differences in optimum operation conditions. pH, temperature and reaction time increased upon immobilization for three different immobilized PLA2 (PLA2-CA, PLA2-CAC and PLA2-CAG). Immobilized PLA2 showed enhanced thermal stability and retained more than 74% of relative activity after 1 h of incubation at 60°C, while the free PLA2 retained only 33%. The three immobilized PLA2 retained 30% to 60% of initial activities after 7 recycles. In particular, PLA2-CAC has more significant profiles in pH, temperature, reaction time and showed the highest remaining activity, thermal stability, reusability. Therefore, PLA2-CAC is a suitable immobilized enzyme for soybean oil degumming process.

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)0.001
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 score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
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 head0.019
GPT teacher head0.272
Teacher spread0.253 · 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

Citations13
Published2013
Admission routes1
Has abstractyes

Explore more

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