Diving beetle-like miniaturized plungers with reversible, rapid biofluid capturing for machine learning-based care of skin disease.

Journal: Science advances
PMID:

Abstract

Recent advances in bioinspired nano/microstructures have received attention as promising approaches with which to implement smart skin-interfacial devices for personalized health care. In situ skin diagnosis requires adaptable skin adherence and rapid capture of clinical biofluids. Here, we report a simple, all-in-one device consisting of microplungers and hydrogels that can rapidly capture biofluids and conformally attach to skin for stable, real-time monitoring of health. Inspired by the male diving beetle, the microplungers achieve repeatable, enhanced, and multidirectional adhesion to human skin in dry/wet environments, revealing the role of the cavities in these architectures. The hydrogels within the microplungers instantaneously absorb liquids from the epidermis for enhanced adhesiveness and reversibly change color for visual indication of skin pH levels. To realize advanced biomedical technologies for the diagnosis and treatment of skin, our suction-mediated device is integrated with a machine learning framework for accurate and automated colorimetric analysis of pH levels.

Authors

  • Sangyul Baik
    School of Chemical Engineering, Sungkyunkwan University (SKKU), 2066 Seobu-ro, Jangan-gu, Suwon 16419, Republic of Korea.
  • Jihyun Lee
    SCH Media Labs, Soonchunhyang University, Asan, Chungnam, South Korea.
  • Eun Je Jeon
    Department of Biotechnology, Yonsei University, 50 Yonsei-ro, Seoul 03722, Republic of Korea.
  • Bo-Yong Park
    Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, South Korea; Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon 16419, South Korea.
  • Da Wan Kim
    School of Chemical Engineering, Sungkyunkwan University (SKKU), 2066 Seobu-ro, Jangan-gu, Suwon 16419, Republic of Korea.
  • Jin Ho Song
    School of Chemical Engineering, Sungkyunkwan University (SKKU), 2066 Seobu-ro, Jangan-gu, Suwon 16419, Republic of Korea.
  • Heon Joon Lee
  • Seung Yeop Han
    Department of Biotechnology, Yonsei University, 50 Yonsei-ro, Seoul 03722, Republic of Korea.
  • Seung-Woo Cho
    Department of Biotechnology, Yonsei University, 50 Yonsei-ro, Seoul 03722, Republic of Korea. seungwoocho@yonsei.ac.kr chpang@skku.edu.
  • Changhyun Pang