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Record W4414821763 · doi:10.1021/acsami.5c14866

Characterization of the Surface Layer of Micelles: Advanced Investigation by Salt Incorporation

2025· article· en· W4414821763 on OpenAlexaff
Anna Laguta, Vladimir Farafonov

Bibliographic record

VenueACS Applied Materials & Interfaces · 2025
Typearticle
Languageen
FieldChemistry
TopicSurfactants and Colloidal Systems
Canadian institutionsToronto Metropolitan University
FundersMinistry of Education and Science of Ukraine
KeywordsMicelleSurface chargeZeta potentialBilayerPulmonary surfactantDouble layer (biology)NanoreactorSubstrate (aquarium)Layer by layerMyristic acid

Abstract

fetched live from OpenAlex

, sodium salicylate, and potassium benzoate. Nitrophenol violet and myristic acid were used as probes. Molecular dynamics simulation, laser Doppler electrophoresis, UV-vis spectroscopy, acid-base equilibrium approach, and chemical kinetic method were applied to investigate probe localization, zeta potential, solvatochromism, surface potential, and ion-exchange, respectively. Experimental findings include deceleration of nucleophilic addition, complete deactivation of the kinetic micellar effect, substrate desolubilization upon salt addition, micelle overcharging, deviation from the lyotropic series, and nonindifferent ions affecting cationic and zwitterionic micelles. These results are crucial when charge interactions determine the dynamics of binding, desorption, and fusion. The CTAB-based nanospecies with surface potentials close to zero are of particular interest because of their unique behavior, which resembles that of so-called "living" polymers. Desolubilization of the sample in a salt solution may be relevant when it is necessary to release the substrate from the nanocarrier into the target cells. The charge inversion in medical electrophoresis (purification techniques, crossing membrane barriers) is crucial as initially positively charged particles start migrating toward the anode instead of their natural direction. Moreover, the results offer valuable insights into designing surfactant-functionalized surfaces, including nanotubes enveloped in surfactant bilayers and related nanostructures.

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 score0.001
Threshold uncertainty score0.468

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 science0.0000.000
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 head0.007
GPT teacher head0.212
Teacher spread0.204 · 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
Published2025
Admission routes1
Has abstractyes

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