journal article·2025Open access

Micro–nano scale motion control of light-driven morphing pillars for biointerfacing

Ziyu Gao, Valeria Criscuolo, Fabio Formiggini, Ilaria De Martino, Daniela Perna, Velia Siciliano, Francesca Santoro

Nanoscale· Volume 17· Issue 27

Abstract

Morphic biomaterials have been widely utilized as cell instructive platforms to regulate biological functions of cells and tissues. Here, light can be exploited to tune the mechanical response of these materials (e.g., azobenzene-based polymers) to reshape and induce dimensionality changes (e.g., from 2D to 3D geometries). In fact, 3D systems better replicate the cell-tissue environment and its continuous conformational changes. In this work, we present a 3D pillar-based platform capable of undergoing reshaping and dislocation. These properties can be precisely controlled at the micro-nano scale through characteristic light irradiation parameters such as intensity and exposure time. In this work, light-driven deformation resulting in elongation, polarization, and substructure generation (i.e., nanobump-like structures) was achieved using low-intensity (5%) light exposure. Furthermore, deformation in sliding and rotation was obtained with high laser intensity (20-100%, % of 10 mW input), based on which, a photo-induced deformation model was proposed for azobenzene-based polymers. Additionally, the biocompatibility of the azopolymer-based pillars was proven as well as their potential to locally reshape and induce real-time cell response.
Source: europepmc · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Advanced Materials and Mechanics · Micro and Nano Robotics · Liquid Crystal Research Advancements

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Center for Advanced Biomaterials for Healthcare, Istituto Italiano di Tecnologia, Naples, Italy

Institute of Biological Information Processing – Bioelectronics, IBI-3, Forschungszentrum Jülich, Jülich, Germany

Neuroelectronic Interfaces, Faculty of Electrical Engineering and Information Technology, RWTH Aachen, Aachen, Germany

Funding

H2020 European Research Council

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