MétaCan
Menu
Back to cohort
Record W2078093296 · doi:10.1021/jp003131v

Coupled Diffusion of Mixed Ionic Micelles in Aqueous Sodium Dodecyl Sulfate + Sodium Octanoate Solutions

2001· article· en· W2078093296 on OpenAlexaff
Derek G. Leaist, Kimberley MacEwan

Bibliographic record

VenueThe Journal of Physical Chemistry B · 2001
Typearticle
Languageen
FieldChemistry
TopicSurfactants and Colloidal Systems
Canadian institutionsWestern University
Fundersnot available
KeywordsAqueous solutionMicelleCounterionPulmonary surfactantDiffusionSodium dodecyl sulfateChemistryIonic bondingSodiumIonTernary operationInorganic chemistryAnalytical Chemistry (journal)ThermodynamicsChromatographyPhysical chemistryOrganic chemistryPhysics

Abstract

fetched live from OpenAlex

Taylor dispersion and differential refractometry are used to measure ternary mutual diffusion coefficients for aqueous sodium dodecyl sulfate (NaDS) + sodium octanoate (NaOct) solutions at 25 different compositions at 25 °C. Diffusion of the mixed surfactants is strongly coupled. In particular, each mole of NaOct co-transports up to 2.5 mol of NaDS. The results are interpreted by using Nagarajan's molecular thermodynamic model of mixed surfactant solutions to estimate average surfactant aggregation numbers for the mixed micelles. In addition, Nernst−Planck equations are used to relate the measured fluxes of the total NaDS and total NaOct components to the fluxes of free DS - and Oct - surfactant ions, free Na + counterions, and micelles of local-average composition. The analysis shows that the large coupled flows of NaDS driven by NaOct gradients are caused by the migration of charged NaDS-rich micelles in the electric field generated by the diffusion free Na + and Oct - ions.

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)0.001
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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.013
GPT teacher head0.228
Teacher spread0.215 · 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

Citations23
Published2001
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of Physical Chemistry BSame topicSurfactants and Colloidal SystemsFrench-language works237,207