Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Superspreading driven by Marangoni flow.

Alex D Nikolov1, Darsh T Wasa, Anoop Chengara

  • 1Chemical Engineering Department, Illinois Institute of Technology, Chicago 60616, USA.

Advances in Colloid and Interface Science
|March 23, 2002
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Reinforced molecular dynamics: Physics-infused generative machine learning model simulates protein motion.

PNAS nexus·2026
Same author

A Fresh Look at the Normal Mode Analysis of Proteins: Introducing Allosteric Co-Vibrational Modes.

JACS Au·2024
Same author

Comprehensive Approach to Simulating Large Scale Conformational Changes in Biological Systems Utilizing a Path Collective Variable and New Barrier Restraint.

The journal of physical chemistry. B·2023
Same author

Predicting the structural basis of targeted protein degradation by integrating molecular dynamics simulations with structural mass spectrometry.

Nature communications·2022
Same author

The foam film's stepwise thinning phenomenon and role of oscillatory forces.

Advances in colloid and interface science·2022
Same author

Structure-Based Analysis of Cryptic-Site Opening.

Structure (London, England : 1993)·2019
Same journal

Hydrogen-bonded organic frameworks: Toward adaptive porous materials for energy, environment, and smart devices.

Advances in colloid and interface science·2026
Same journal

Nanogenerator-driven self-powered electrochromic systems: Performance enhancement, interfacial-structural integration, and multifunctional design.

Advances in colloid and interface science·2026
Same journal

Zooming into the polarity of deep eutectic solvents.

Advances in colloid and interface science·2026
Same journal

Colloids in lubrication: Development of amphiphiles from molecular structure to tribological performance.

Advances in colloid and interface science·2026
Same journal

Engineering interfacial and network Structures in high internal phase Pickering emulsions: Mechanisms, encapsulation and release of bioactive compounds, and 3D/4D food printing applications.

Advances in colloid and interface science·2026
Same journal

Quantum dot-FRET viral biosensors: Materials, surface chemistry, and recognition architectures.

Advances in colloid and interface science·2026
See all related articles

Trisiloxane ethoxylate surfactants exhibit superspreading on hydrophobic surfaces due to a dynamic surface tension gradient driven by the Marangoni effect. Molecular configuration, not aggregates, drives this phenomenon.

Area of Science:

  • Colloid and Surface Science
  • Materials Science
  • Chemical Engineering

Background:

  • Superspreading of trisiloxane ethoxylate surfactant solutions on hydrophobic surfaces is a known phenomenon with practical applications.
  • The underlying mechanism of silicone surfactant superspreading remains poorly understood.
  • These surfactants act as effective wetting agents, enhancing herbicide application efficacy on waxy plant leaves.

Purpose of the Study:

  • To elucidate the mechanism controlling the superspreading of trisiloxane ethoxylates.
  • To propose a model explaining the role of surface tension gradients in superspreading.
  • To investigate the influence of molecular configuration and aggregate formation on the spreading behavior.

Main Methods:

  • Experimental investigation of droplet spreading dynamics on hydrophobic surfaces.

Related Experiment Videos

  • Development of a model based on surface tension gradients and the Marangoni effect.
  • Molecular dynamics simulations to analyze molecular configuration at the air/water interface.
  • Main Results:

    • Superspreading is driven by a dynamic surface tension gradient, increasing at the spreading front as the droplet stretches.
    • The Marangoni effect, fueled by this gradient, is the primary driving force for spreading; higher gradients lead to faster spreading.
    • Molecular dynamics simulations indicate that the small, compact hydrophobic part of trisiloxane ethoxylates facilitates superspreading.
    • Pre-formed aggregates and vesicles in surfactant solutions were found not to initiate the superspreading process.

    Conclusions:

    • The superspreading of trisiloxane ethoxylates is governed by a dynamic surface tension gradient and the Marangoni effect.
    • The molecular structure of the surfactant, specifically its hydrophobic portion, is crucial for enabling superspreading.
    • Aggregate and vesicle formation are not prerequisites for the observed superspreading phenomenon.