Evidence map›Paper›PMID 42559757›Full record

ReviewAdvanced materials (Deerfield Beach, Fla.)2026

Bioinspired Adaptive Surfaces for Intelligent Liquid Manipulation: Progressing From Passive and Active to Hybrid Strategies.

Jiaqi Miao, Yiyuan Zhang, Liqiu Wang, Alan C H Tsang

Abstract readReview
In one paragraph

Review in Advanced materials (Deerfield Beach, Fla.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jiaqi MiaoDepartment of Mechanical Engineering, The University of Hong Kong, Hong Kong, China.
Yiyuan ZhangDepartment of Mechanical Engineering, The Hong Kong Polytechnic University, Hong Kong, China.ORCID https://orcid.org/0000-0003-1968-3836
Liqiu WangDepartment of Mechanical Engineering, The Hong Kong Polytechnic University, Hong Kong, China.ORCID https://orcid.org/0000-0002-6514-4211
Alan C H TsangDepartment of Mechanical Engineering, The University of Hong Kong, Hong Kong, China.

Funding

Croucher FoundationHong Kong Polytechnic University P0058250National Natural Science Foundation of China T24B2020Research Grants Council of Hong Kong GRF15309825,GRF17213823
6 · The paper itself

Abstract

Natural surfaces demonstrate sophisticated liquid manipulation through passive interfacial energy landscapes, whereas active systems rely on external stimuli for dynamic control. Bringing these strategies offers a promising route to balance energy efficiency with adaptive control. This review first outlines the principles of passive strategies and externally actuated active methods, and then critically assesses emerging hybrid approaches. Hybrid strategies utilize external energy to program the interfacial properties of passive surfaces, after which liquid motion proceeds without continuous energy input, driven by the stored interfacial energy of reconstructed surfaces. This approach, combining passive energy efficiency with active flexibility, could address the trade-off between low energy consumption and adaptable liquid manipulation. Emerging applications are further discussed across sustainable energy, environmental science, thermal management, smart manufacturing, and healthcare engineering, with guidance on selecting appropriate liquid manipulation strategies for different application scenarios. Finally, perspectives are provided on energy acquisition, material innovation, design methodologies, and system integration, envisioning a technological framework in which passive, active, and hybrid strategies advance in parallel as complementary pillars to accelerate the translation of liquid manipulation surfaces from laboratory discoveries to real-world applications.

Indexed as

bioinspired surfacesexternal fieldshybrid systemsinterfacial materialsliquid manipulationwettability

Identifiers

PMID42559757
PMCPMC13648909

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.