Evidence map›Paper›PMID 42489142›Full record

ReviewAdvanced materials (Deerfield Beach, Fla.)2026

Tailoring Superwettability Through Bioinspired Reentrant Microstructures.

Yuning Zhou, Wenwan Shi, Xiaolu Sun, Ming Gao, Xiaoxiang Gao, Jing Sun, Zhongze Gu, Xiaojiang Liu

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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Yuning ZhouState Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, China.ORCID https://orcid.org/0009-0006-4358-778X
Wenwan ShiState Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, China.ORCID https://orcid.org/0000-0003-3793-7086
Xiaolu SunState Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, China.
Ming GaoSingapore Centre for 3D Printing, School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, Singapore.ORCID https://orcid.org/0000-0001-8638-3791
Xiaoxiang GaoState Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, China.ORCID https://orcid.org/0009-0000-0590-2140
Jing SunDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Zhongze GuState Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, China.ORCID https://orcid.org/0000-0001-8926-7710
Xiaojiang LiuState Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, China.ORCID https://orcid.org/0009-0000-2014-7016

Funding

Fundamental Research Funds for the Central Universities 2242025F10003Jiangsu Province Youth Science and Technology Talent Support Project JSTJ-2024-096National Natural Science Foundation of China 5253000319National Natural Science Foundation of China 82227808Natural Science Foundation of Jiangsu Province BK20241263Natural Science Foundation of Jiangsu Province BK20241268Open Research Fund of Southeast University and Jiangsu Province Hospital 2024-M02Southeast University Interdisciplinary Research Program for Young Scholars 2024FGC1003Start-up Research Fund of Southeast University RF028623292
6 · The paper itself

Abstract

Superwettability describes an extreme wetting regime in which a solid surface exhibits exceptional affinity for or strong repellency against fluids, including superhydro/superoleo/superaero-phobicity, superhydro/superoleo/superaero-philicity, and directional liquid transport. Recent advances in biomimetics and theoretical modeling reveal that precise and intelligent wettability regulation is governed not only by surface chemistry but, more fundamentally, by microstructural geometry. Over the past two decades, bioinspired reentrant microstructures have exhibited exceptional capability in enhancing liquid repellency and enabling high-performance directional transport through modulation of interfacial wetting physics. In this review, we provide a comprehensive summary on structure-driven superwettability, focusing on symmetric and asymmetric reentrant microstructures. We first elucidate the fundamental physical mechanisms underlying wettability regulation, followed by a critical assessment of state-of-the-art fabrication strategies, including silicon micromachining, replica molding, and advanced 3D printing. We then highlight representative applications in microreactions, oil-water separation, liquid harvesting, evaporation and desalination, and fluidic-electronic systems, and discuss emerging strategies for smart liquid manipulation enabled by stimuli-responsive reentrant microstructures. Finally, we outline key challenges and forward-looking perspectives, emphasizing artificial intelligence-assisted design, novel functional materials, scalable manufacturing, and next-generation applications of superwettable surfaces.

Indexed as

directional transportmicrofluidicsreentrant microstructuressuperrepellencysuperwettability

Identifiers

PMID42489142
PMCPMC13532501

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.