Spontaneous droplet transport on shape-evolving microfiber rails

Directional droplet motion on solid surfaces, governed by Gibbs' theory of minimizing surface free energy, traditionally relies on static surface gradients. However, such approaches face intrinsic constraints, including fixed transport directions and interdependence between transport distance and speed. Here, we introduce shape-evolving microfiber rails (SEMRs) that enable spontaneous droplet transport on initially non-gradient surfaces. Inspired by a domino-like mechanism, the SEMRs dynamically generate cascading gradients through shape deformations in response to droplet-surface interactions, diverging from conventional static-gradient designs. This adaptive strategy allows for steerable droplet motion, independent control over transport distance and velocity, and design flexibility for on-demand performance optimization. The SEMR's versatility heralds advanced applications across analytical chemistry, cargo transport, electronics, and diagnostics, paving the way for advanced intelligent fluidic systems.

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Publication Details

Journal
Nature Communications
Published
2025-12-04
DOI
https://doi.org/10.1038/s41467-025-65884-9
Primary Topic
Surface Modification and Superhydrophobicity
Type
article
Field-Weighted Citation Impact
0.00

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article

Spontaneous droplet transport on shape-evolving microfiber rails

Shuxian Tang, Ting Si, Ying Zhou, Pingan Zhu et al.
Nature Communications
Surface Modification and Superhydrophobicity
article

Spontaneous droplet transport on shape-evolving microfiber rails

Shuxian Tang, Ting Si, Ying Zhou, Pingan Zhu, Yanhong Li, Wenchang Zhao, Shiyu Wang
article en

Abstract

Directional droplet motion on solid surfaces, governed by Gibbs' theory of minimizing surface free energy, traditionally relies on static surface gradients. However, such approaches face intrinsic constraints, including fixed transport directions and interdependence between transport distance and speed. Here, we introduce shape-evolving microfiber rails (SEMRs) that enable spontaneous droplet transport on initially non-gradient surfaces. Inspired by a domino-like mechanism, the SEMRs dynamically generate cascading gradients through shape deformations in response to droplet-surface interactions, diverging from conventional static-gradient designs. This adaptive strategy allows for steerable droplet motion, independent control over transport distance and velocity, and design flexibility for on-demand performance optimization. The SEMR's versatility heralds advanced applications across analytical chemistry, cargo transport, electronics, and diagnostics, paving the way for advanced intelligent fluidic systems.

Nature CommunicationsVol. 16(1)
University of Science and Technology of China (CN), City University of Hong Kong (HK), City University of Hong Kong, Shenzhen Research Institute (CN)
City University of Hong Kong, National Natural Science Foundation of China
Openalex Percentile: Top 64%
Surface Modification and Superhydrophobicity
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