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Record W2088995587 · doi:10.1080/01932690600662695

Mixed Micellization of Ionic and Nonionic Surfactants in Aqueous Solution

2006· article· en· W2088995587 on OpenAlex
Sujan Chatterjee, Pratik Sen, Kaushik Das, Subhash C. Bhattacharya, R. Palepu

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Dispersion Science and Technology · 2006
Typearticle
Languageen
FieldChemistry
TopicSurfactants and Colloidal Systems
Canadian institutionsSt. Francis Xavier University
Fundersnot available
KeywordsMicellePulmonary surfactantAqueous solutionChemistryCationic polymerizationAdsorptionNonionic surfactantIonic bondingCritical micelle concentrationChemical engineeringThermodynamics of micellizationMoietyAlkylOrganic chemistryPolymer chemistryThermodynamicsIon

Abstract

fetched live from OpenAlex

Mixed micelles of binary surfactant mixtures consisting of nonionic/nonionic and cationic/nonionic surfactants have been prepared in different compositions of the components in aqueous solution in order to study their stability and ideality. Interfacial adsorption, minimum area per surfactant molecule at the interface, thermodynamics of micellization, and stability of mixed micelles have been investigated. The surfactant‐surfactant interaction in the mixed micelle has been determined employing regular solution theory to interpret the experimental findings. Effect of chain length of hydrophobic and hydrophilic moiety on the stability of mixed micelles has been included in the present study.

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.

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 score0.035
Threshold uncertainty score0.201

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.008
GPT teacher head0.217
Teacher spread0.209 · 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