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Record W3187634136

Prediction of Interfacial Tension of Fish Oil Silver Nitrate Binary System by Spinning Drop Tensiometry

2018· article· en· W3187634136 on OpenAlexaff
Kirubanandan Shanmugam

Bibliographic record

VenueSSRN Electronic Journal · 2018
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Thin Films
Canadian institutionsDalhousie University
Fundersnot available
KeywordsSurface tensionSilver nitrateSpinningDrop (telecommunication)Pressure dropMaterials scienceChemistryExtraction (chemistry)Chemical engineeringChromatographyThermodynamicsComposite materialMechanical engineeringOrganic chemistryEngineering
DOInot available

Abstract

fetched live from OpenAlex

The Interfacial Tension (IFT) of an immiscible binary system is the most important property in the process design of Liquid-Liquid Extraction (LLE) and also in numerous mass transfer operations. Recently, the extraction of omega 3 Poly Unsaturated Fatty Acids (PUFA) from fish oil with silver nitrate solution is a novel extraction process, and in this case of process design, there is a lack of details about physical properties of fish oil silver nitrate system. Fish oil Ethyl Ester (EE)-AgNO3 is a rare binary system which lacks information about IFT system details. This work thus explored the interfacial surface force variations with practical fish oil/solvent/silver nitrate mixtures using spinning drop tensiometer to explore the observed variation in the flow pattern. The IFT data is used to design the flow dynamics of the extraction process design at mini/micro scale flow reactors.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.933
Threshold uncertainty score0.554

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.006
GPT teacher head0.187
Teacher spread0.181 · 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
Published2018
Admission routes1
Has abstractyes

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