Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/109353
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Title: Programmable droplet manipulation enabled by charged-surface pattern reconfiguration
Authors: Fang, D
Zhou, W
Jin, Y
Liu, X
Zeng, Y
Wang, Z 
Zheng, H
Issue Date: Jul-2023
Source: Droplet, July 2023, v. 2, no. 3, e74
Abstract: Programmable droplet manipulation based on external stimulation is in high demand in various modern technologies. Despite notable progress, current manipulation strategies still suffer from a common drawback such as single control means of modulating the external stimulation input, which leads to huge challenges in sophisticated and large scale-up droplet handling. Herein, a unique pattern-reconfiguration-driven droplet manipulation method is developed on conductive/nonconductive pattern surfaces under charge deposition. Contactless charge deposition induces the “edge barrier” phenomenon at the boundaries of conductive/nonconductive patterns, analogous to an invisible and tunable wall guiding droplet behaviors. The edge barrier effect can be flexibly tuned by the nonconductive surface pattern. Thus, with charge deposition, surfaces are endowed with protean control functionality. The design of conductive/nonconductive patterns can effectively enable multifunction droplet manipulations, including track-guided sliding, sorting, merging, and mixing. Moreover, dynamical pattern reconfiguration drives programmable fluidics with sophisticated and large scale-up droplet handling capabilities in a low-cost and simple approach.
Publisher: John Wiley & Sons Ltd.
Journal: Droplet 
ISSN: 2769-2159
EISSN: 2731-4375
DOI: 10.1002/dro2.74
Rights: © 2023 The Authors. Droplet published by Jilin University and John Wiley & Sons Australia, Ltd.
This is an open access article under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
The following publication Fang D, Zhou W, Jin Y, et al. Programmable droplet manipulation enabled by charged-surface pattern reconfiguration. Droplet. 2023; 2:e74 is available at https://doi.org/10.1002/dro2.74.
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