Bio‐Inspired Interlocking Micro‐Patterning for Tunable, Switchable and Selective Adhesion in Wet and Dusty Environments

Achieving adhesion under unfavorable conditions, such as when van der Waals interaction is not available or in dust environments, is crucial in applications ranging from surgical sutures to wound-healing tapes, underwater adhesives, robotic grippers, and space grasping. Interestingly, plants, animals, and microorganisms living in such environmental conditions show surface morphological traits optimized to achieve mechanical interlocking. Thus, they achieve an effective work of adhesion thanks to the interplay of friction and interfacially-storable elastic energy, which otherwise typically suppress adhesion. In this work, the design and fabrication fundamentals for achieving tunable, switchable, and robust mechanical adhesion is provided under a general environmental condition, such as wet or dusty, bio-mimicking natural solutions. A theoretical framework for the design of mechanical adhesion, based on mean-field continuum contact mechanics, is suggested and validated experimentally. This study can pave the way for the development of new technologies to be employed in situations where conventional adhesives may be ineffective, such as for surfaces exposed to water, solvent vapors, lubricants, high temperatures, dusty environments, high vacuum, or aerospace applications, or processes where switching and selective adhesion is needed such as grasping and sorting applications in the semiconductor industry.

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Publication Details

Journal
Small
Published
2025-02-26
DOI
https://doi.org/10.1002/smll.202410527
Citations
6
Primary Topic
Adhesion, Friction, and Surface Interactions
Type
article
Field-Weighted Citation Impact
5.18
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article

Bio‐Inspired Interlocking Micro‐Patterning for Tunable, Switchable and Selective Adhesion in Wet and Dusty Environments

Massimo De Vittorio, Marco Bruno, Michele Scaraggi, Stanislav N. Gorb et al.
6 citations
Small
Adhesion, Friction, and Surface Interactions
5.18
article

Bio‐Inspired Interlocking Micro‐Patterning for Tunable, Switchable and Selective Adhesion in Wet and Dusty Environments

Massimo De Vittorio, Marco Bruno, Michele Scaraggi, Stanislav N. Gorb, Luigi Portaluri
article en
6 citations

Abstract

Achieving adhesion under unfavorable conditions, such as when van der Waals interaction is not available or in dust environments, is crucial in applications ranging from surgical sutures to wound-healing tapes, underwater adhesives, robotic grippers, and space grasping. Interestingly, plants, animals, and microorganisms living in such environmental conditions show surface morphological traits optimized to achieve mechanical interlocking. Thus, they achieve an effective work of adhesion thanks to the interplay of friction and interfacially-storable elastic energy, which otherwise typically suppress adhesion. In this work, the design and fabrication fundamentals for achieving tunable, switchable, and robust mechanical adhesion is provided under a general environmental condition, such as wet or dusty, bio-mimicking natural solutions. A theoretical framework for the design of mechanical adhesion, based on mean-field continuum contact mechanics, is suggested and validated experimentally. This study can pave the way for the development of new technologies to be employed in situations where conventional adhesives may be ineffective, such as for surfaces exposed to water, solvent vapors, lubricants, high temperatures, dusty environments, high vacuum, or aerospace applications, or processes where switching and selective adhesion is needed such as grasping and sorting applications in the semiconductor industry.

SmallVol. 21(24)
University of Salento (IT), Italian Institute of Technology (IT), Christian-Albrechts-Universität zu Kiel (DE), Innovation Engineering (Italy) (IT), Center for Biomolecular Nanotechnologies (IT)
Openalex Percentile: Top 5%
Adhesion, Friction, and Surface Interactions
5.18
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Bio‐Inspired Interlocking Micro‐Patterning for Tunable, Switchable and Selective Adhesion in Wet and Dusty Environments — Massimo De Vittorio, Marco Bruno, et al. · Small (2025) | TGRS Research Map | TGRS