ReviewExploration (Beijing, China)2024
Durable superhydrophobic surface in wearable sensors: From nature to application.
Review in Exploration (Beijing, China), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 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
24 citing papers in PubMed.
- Metal-center electron affinity modulates multicolor electrochromism in 2D conjugated metal-organic frameworks.Nature communications · 2026Article
- Cellulose-enabled Hydrovoltaic Energy Generation: from Molecular and Materials Design to Device Integration.Nano-micro letters · 2026Review
- Superhydrophobic Wearable Strain Sensors: From Strategic Design to Robustness Paradigm.Nano-micro letters · 2026Review
- 3D-Printed Architected Anisotropic Channels for Ultrafast Solar-Driven Interfacial Evaporation via Localized Thermal Management and Water Layer Structuring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Robots in mine search and rescue operations: a review of platforms and design requirements.Frontiers in robotics and AI · 2026Review
- Saturation and texture geometry effects on plastron longevity on superhydrophobic surfaces.Scientific reports · 2025Article
- Nature-Inspired Innovation in Electrical Engineering Technologies and Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- An Anisotropic and Stable-Conductance Patch for Mechanical-Electrical Coupling With Infarcted Myocardium.Exploration (Beijing, China) · 2025Article
- Robust, Scalable, and Triboelectric-Responsive Superhydrophobic Coating for Versatile Smart City Applications.Small science · 2025Article
- Sustained and Enhanced Nucleate Boiling Using Hierarchical Architectures at Large Superheats.Exploration (Beijing, China) · 2025Article
- A bioinspired microfluidic wearable sensor for multiday sweat sampling, transport, and metabolic analysis.Science advances · 2025Article
- Mechanical Compatibility in Stitch Configuration and Sensor Adhesion for High-Fidelity Pulse Wave Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Electrical Characterization of Cost-Effective Screen-Printed Sensors Based on Thermoplastic Polyurethane, Polyimide, and Polyethylene Terephthalate.Micromachines · 2025Article
- Wearable and Flexible Sensor Devices: Recent Advances in Designs, Fabrication Methods, and Applications.Sensors (Basel, Switzerland) · 2025Review
- Oxide semiconductor based deep-subthreshold operated read-out electronics for all-printed smart sensor patches.Exploration (Beijing, China) · 2025Article
- Key Fundamentals and Examples of Sensors for Human Health: Wearable, Non-Continuous, and Non-Contact Monitoring Devices.Sensors (Basel, Switzerland) · 2025Article
- Wearable Biodevices Based on Two-Dimensional Materials: From Flexible Sensors to Smart Integrated Systems.Nano-micro letters · 2025Review
- A wear-resistant coating with combined mechanical and antifouling properties for potential underwater cleaning applications.Frontiers in chemistry · 2025Article
- Neural interfaces: Bridging the brain to the world beyond healthcare.Exploration (Beijing, China) · 2024Article
- Triboelectric nanogenerators for self-powered neurostimulation.Nano research · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The current generation of wearable sensors often experiences signal interference and external corrosion, leading to device degradation and failure. To address these challenges, the biomimetic superhydrophobic approach has been developed, which offers self-cleaning, low adhesion, corrosion resistance, anti-interference, and other properties. Such surfaces possess hierarchical nanostructures and low surface energy, resulting in a smaller contact area with the skin or external environment. Liquid droplets can even become suspended outside the flexible electronics, reducing the risk of pollution and signal interference, which contributes to the long-term stability of the device in complex environments. Additionally, the coupling of superhydrophobic surfaces and flexible electronics can potentially enhance the device performance due to their large specific surface area and low surface energy. However, the fragility of layered textures in various scenarios and the lack of standardized evaluation and testing methods limit the industrial production of superhydrophobic wearable sensors. This review provides an overview of recent research on superhydrophobic flexible wearable sensors, including the fabrication methodology, evaluation, and specific application targets. The processing, performance, and characteristics of superhydrophobic surfaces are discussed, as well as the working mechanisms and potential challenges of superhydrophobic flexible electronics. Moreover, evaluation strategies for application-oriented superhydrophobic surfaces are presented.
Indexed as
Identifiers
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.