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Updated: Jul 17, 2026

Aqueous Droplets Used as Enzymatic Microreactors and Their Electromagnetic Actuation

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Published on: August 28, 2017

Magnetically Induced Ferrofluid Droplet Manipulation on Slippery Surfaces.

Yehao Qin¹, Zeeshan Anjum¹, Qingwen Dai¹

¹College of Mechanical & Electrical Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China.

Langmuir : the ACS Journal of Surfaces and Colloids

|July 15, 2026

Summary

Magnetic fields deform ferrofluid (FF) droplets on slippery liquid-infused porous surfaces (SLIPS). Particle concentration strongly influences deformation, enabling predictable control and presplitting for FF manipulation.

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Area of Science:

Fluid dynamics
Materials science
Magnetohydrodynamics

Background:

Ferrofluid (FF) droplet manipulation is hindered by contact-line pinning and contamination on conventional surfaces.
Slippery liquid-infused porous surfaces (SLIPS) offer a promising alternative for droplet manipulation.
Understanding magnetic-field-induced deformation is crucial for advanced FF applications.

Purpose of the Study:

To investigate magnetic-field-induced deformation and presplitting of FF droplets on SLIPS.
To analyze the influence of magnet geometry, droplet volume, particle mass fraction, and droplet-magnet distance.
To develop predictive models for FF droplet behavior on SLIPS.

Main Methods:

Utilized side-view imaging and image-based profile analysis.
Systematically varied FF droplet parameters (volume, particle mass fraction) and magnetic field parameters (magnet geometry, distance).
Employed symbolic regression to derive empirical correlations for droplet deformation.

Main Results:

Observed decreased apparent contact angle and base width, with increased droplet height as magnet approached.
Demonstrated that FF particle mass fraction had the strongest influence on deformation mode.
Developed predictive models with R² values of 0.94 (height) and 0.89 (width) for droplet deformation.

Conclusions:

FF droplets can be controllably deformed and presplit on SLIPS using magnetic fields.
The study provides empirical correlations for predicting FF droplet morphology on SLIPS.
This research advances non-contact manipulation techniques for ferrofluids.