Opto-electrical gradient wetting for reliable and reconfigurable transport of droplets on crystal silicon

Droplet directional transportation plays a crucial role in many fields such as microfluidics, device thermal management, and water harvesting. Gradient wetting is an important approach to drive droplets by establishing a patterned surface energy distribution. However, existing chemical or physical gradient methods suffer from limitations such as contamination, irreversibility, and insufficient reconfigurability, making it difficult to achieve stable and dynamic manipulation. In this work, we propose an opto-electrical gradient wetting system on a crystal silicon (OE-GWOS) device for programmable droplet manipulation. By applying patterns with a grayscale gradient, the resistivity of crystal silicon is spatially and continuously modulated, inducing continuous variation in voltage distribution across the dielectric layer, thereby constructing a reconfigurable wetting gradient on the surface for stable and continuous droplet driving. Moreover, the gradient can be dynamically reconstructed along arbitrary directions and at arbitrary locations on the chip, enabling flexible and programmable droplet operations. Compared to discrete light spot driving, this strategy significantly improves motion continuity and stability, reduces system control complexity, and supports complex manipulations, including multidirectional motion and path planning with no need for real-time addressing. It provides a new route toward highly reliable, reconfigurable, and programmable digital microfluidics with potential for integration with microelectronics.

Authors

Institutions

Publication Details

Journal
Sensors and Actuators B Chemical
Published
2026-09-11
DOI
https://doi.org/10.1016/j.snb.2026.140871
Primary Topic
Electrowetting and Microfluidic Technologies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Opto-electrical gradient wetting for reliable and reconfigurable transport of droplets on crystal silicon

Jia Zhou, Enqing Liu, Gaifang Chen, Shang Gao et al.
Sensors and Actuators B Chemical
Electrowetting and Microfluidic Technologies
article

Opto-electrical gradient wetting for reliable and reconfigurable transport of droplets on crystal silicon

Jia Zhou, Enqing Liu, Gaifang Chen, Shang Gao, Junyan Tian
article en

Abstract

Droplet directional transportation plays a crucial role in many fields such as microfluidics, device thermal management, and water harvesting. Gradient wetting is an important approach to drive droplets by establishing a patterned surface energy distribution. However, existing chemical or physical gradient methods suffer from limitations such as contamination, irreversibility, and insufficient reconfigurability, making it difficult to achieve stable and dynamic manipulation. In this work, we propose an opto-electrical gradient wetting system on a crystal silicon (OE-GWOS) device for programmable droplet manipulation. By applying patterns with a grayscale gradient, the resistivity of crystal silicon is spatially and continuously modulated, inducing continuous variation in voltage distribution across the dielectric layer, thereby constructing a reconfigurable wetting gradient on the surface for stable and continuous droplet driving. Moreover, the gradient can be dynamically reconstructed along arbitrary directions and at arbitrary locations on the chip, enabling flexible and programmable droplet operations. Compared to discrete light spot driving, this strategy significantly improves motion continuity and stability, reduces system control complexity, and supports complex manipulations, including multidirectional motion and path planning with no need for real-time addressing. It provides a new route toward highly reliable, reconfigurable, and programmable digital microfluidics with potential for integration with microelectronics.

Sensors and Actuators B ChemicalVol. 469
Fudan University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 20%
Electrowetting and Microfluidic Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Opto-electrical gradient wetting for reliable and reconfigurable transport of droplets on crystal silicon — Jia Zhou, Enqing Liu, et al. · Sensors and Actuators B Chemical (2026) | TGRS Research Map | TGRS