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Record W1671012367 · doi:10.5539/ijc.v7n1p133

Self-assembly of Palm Kernel Oil Wax Esters in Aqueous Media: A Molecular Dynamics Study

2015· article· en· W1671012367 on OpenAlexvenueno aff
Roghayeh Abedi Karjiban, Qiu-Yi Huan, Mohd Basyaruddin Abdul Rahman, Mahiran Basri, Bimo Ario Tejo

Bibliographic record

VenueInternational Journal of Chemistry · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood Chemistry and Fat Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsChemistryMolecular dynamicsWaxPulmonary surfactantEmulsionRadius of gyrationAqueous solutionMicelleChemical engineeringPolymer chemistryOrganic chemistryComputational chemistry

Abstract

fetched live from OpenAlex

<p>Experimentally determined phase diagram of palm kernel oil-based wax esters (PKOEs) nano-emulsion was selected to explore an atomic insight into the self-assembly of PKOEs nano-emulsion using molecular dynamics (MD) simulation technique. A model system including PKOEs molecules and nonionic Tween80 surfactant in aqueous solution was prepared. We used MD to explore a detail atomic insight into the self-assembly process of and the shape of the micelle formed. MD simulation was performed for 20 ns. MD results involving the radius of gyration, the solvent accessible surface areas, the number of clusters formed, and the moment of inertia analysis revealed that the model prepared showed a stable prolate ellipsoid shape. <strong> </strong></p><p> </p>

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 score0.046
Threshold uncertainty score0.211

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 science0.0010.000
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 head0.010
GPT teacher head0.230
Teacher spread0.220 · 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

Citations6
Published2015
Admission routes1
Has abstractyes

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