4.8 Article

Ultra-Adaptable and Wearable Photonic Skin Based on a Shape-Memory, Responsive Cellulose Derivative

Journal

ADVANCED FUNCTIONAL MATERIALS
Volume 29, Issue 34, Pages -

Publisher

WILEY-V C H VERLAG GMBH
DOI: 10.1002/adfm.201902720

Keywords

colorimetric sensor; dry adhesive; hydroxypropyl cellulose (HPC); photonic skin; skin patch

Funding

  1. Institute for Information & Communication Technology Planning & Evaluation (IITP), Republic of Korea [2018-0-00756-002, 2017-0-00910-003] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
  2. National Research Foundation of Korea [10Z20130012243, 22A20130000116] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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Photonic skins enable a direct and intuitive visualization of various physical and mechanical stimuli with eye-readable colorations by intimately laminating to target substrates. Their development is still at infancy compared to that of electronic skins. Here, an ultra-adaptable, large-area (10 x 10 cm(2)), multipixel (14 x 14) photonic skin based on a naturally abundant and sustainable biopolymer of a shape-memory, responsive multiphase cellulose derivative is presented. The wearable, multipixel photonic skin mainly consists of a photonic sensor made of mesophase cholesteric hydroxypropyl cellulose and an ultra-adaptable adhesive layer made of amorphous hydroxypropyl cellulose. It is demonstrated that with multilayered flexible architectures, the multiphase cellulose derivative-based integrated photonic skin can not only strongly couple to a wide range of biological and engineered surfaces, with a maximum of approximate to 180 times higher adhesion strengths compared to those of the polydimethylsiloxane adhesive, but also directly convert spatiotemporal stimuli into visible color alterations in the large-area, multipixel array. These colorations can be simply converted into 3D strain mapping data with digital camera imaging.

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