Bionic Structured Milli-fluidics: A Review
Mingzhu Xie1, Zicheng Qian1, Xiaolong Wang1
1School of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, P. R. China.
Chemical Reviews
|January 16, 2026
Summary
Bionic structured milli-fluidics leverages bioinspired designs and external stimuli for advanced droplet manipulation. This review explores passive and active strategies, discussing challenges and future directions in this interdisciplinary field.
Area of Science:
- Fluidics
- Biomimetics
- Microfluidics
Background:
- Milli-fluidics is an emerging interdisciplinary field with applications in biomedical detection, material synthesis, and water collection.
- Bioinspired structures from natural surfaces like Araucaria leaves and cactus are used for droplet manipulation.
- Wetting gradient surfaces and external stimuli (light, thermal, electric, magnetic, acoustic) enhance milli-fluidic performance.
Purpose of the Study:
- To comprehensively review passive methods (bioinspired structures) and active strategies (external fields) in bionic structured milli-fluidics.
- To discuss the relationships between Laplace pressure, wettability gradients, and milli-fluidics.
- To examine the advantages and disadvantages of various external stimuli and suggest future research directions.
Main Methods:
- Review of passive methods including bioinspired structures mimicking natural surfaces.
- Analysis of active strategies utilizing external stimuli like light, thermal, electric, magnetic, and acoustic fields.
- Discussion of the interplay between Laplace pressure, wettability gradients, and milli-fluidic phenomena.
Main Results:
- Bionic structures and external stimuli offer effective means for droplet manipulation and enhanced milli-fluidic performance.
- Understanding Laplace pressure and wettability gradients is crucial for optimizing milli-fluidic systems.
- Different external stimuli present unique advantages and disadvantages for practical applications.
Conclusions:
- Bionic structured milli-fluidics holds significant potential across diverse scientific and technological domains.
- Addressing current obstacles and exploring emerging trends will drive future advancements in the field.
- This review provides guidance for future research by highlighting key issues and future directions.


