ReviewAdvanced materials (Deerfield Beach, Fla.)2025
Emerging Trends in Bioinspired Superhydrophobic and Superoleophobic Sustainable Surfaces.
Review in Advanced materials (Deerfield Beach, Fla.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed.
- Loach-inspired V-microgrooves coupled with microbubbles for stable gas film and enhanced underwater drag reduction.RSC advances · 2026Article
- Beyond Contact Angle: Reframing the Evaluation of Super-Liquid-Repellent Materials for Real Food Environments.Nanomaterials (Basel, Switzerland) · 2026Review
- Keratinous Human Hair as a Precursor for Functionalized Carbon: Influence of Pyrolysis Temperature on Structure and Biomedical Performance.ACS omega · 2026Review
- Liquid Metal Biomimicry: Bridging Fluidity and Biological Adaptability.Biomimetics (Basel, Switzerland) · 2026Review
- Smart Hydrophobic Surfaces: Nature-Inspired Designs for Sustainable Nanostructure Technologies.Nanomaterials (Basel, Switzerland) · 2026Review
- Atomic-scale reconstruction of sapphire induced by selective tribochemical removal of surface atoms.Nature communications · 2026Article
- Emerging Trends in Bioinspired Superhydrophobic and Superoleophobic Sustainable Surfaces.Advanced materials (Deerfield Beach, Fla.) · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Inspired by nature's ability to master materials for performance and sustainability, biomimicry has enabled the creation of bioinspired materials for structural color, superadhesion, hydrophobicity and hydrophilicity, among many others. This review summarizes the emerging trends in novel sustainable fluorocarbon-free bioinspired designs for creating superhydrophobic and superoleophobic surfaces. It discusses methods, challenges, and future directions, alongside the impact of computational modeling and artificial intelligence in accelerating the experimental development of more sustainable surface materials. While significant progress is made in superhydrophobic materials, sustainable superoleophobic surfaces remain a challenge. However, bioinspiration and experimental techniques supported by computational platforms are paving the way to new renewable and biodegradable repellent surfaces that meet environmental standards without sacrificing performance. Nevertheless, despite environmental concerns, and policies, several bioinspired designs still continue to apply fluorination and other environmentally harmful techniques to achieve the required standard of repellency. As discussed in this critical review, a new paradigm that integrates advanced materials characterization, nanotechnology, additive manufacturing, computational modeling, and artificial intelligence is coming, to generate bioinspired materials with tailored superhydrophobicity and superoleophobicity while adhering to environmental standards.
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What OpenQuestion holds
Registered trials
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.