Hetero-Integration of Silicon Nanomembranes with 2D Materials for Bioresorbable, Wireless Neurochemical System

Seung Min Yang, Jae Hyung Shim, Hyun U. Cho, Tae Min Jang, Gwan Jin Ko, Jeongeun Shim, Tae Hee Kim, Jia Zhu, Sangun Park, Yoon Seok Kim, Su Yeon Joung, Jong Chan Choe, Jeong Woong Shin, Joong Hoon Lee, Yu Min Kang, Huanyu Cheng, Youngmee Jung, Chul Ho Lee, Dong Pyo Jang, Suk Won Hwang

Research output: Contribution to journalArticlepeer-review

24 Citations (Scopus)


Although neurotransmitters are key substances closely related to evaluating degenerative brain diseases as well as regulating essential functions in the body, many research efforts have not been focused on direct observation of such biochemical messengers, rather on monitoring relatively associated physical, mechanical, and electrophysiological parameters. Here, a bioresorbable silicon-based neurochemical analyzer incorporated with 2D transition metal dichalcogenides is introduced as a completely implantable brain-integrated system that can wirelessly monitor time-dynamic behaviors of dopamine and relevant parameters in a simultaneous mode. An extensive range of examinations of molybdenum/tungsten disulfide (MoS2/WS2) nanosheets and catalytic iron nanoparticles (Fe NPs) highlights the underlying mechanisms of strong chemical and target-specific responses to the neurotransmitters, along with theoretical modeling tools. Systematic characterizations demonstrate reversible, stable, and long-term operational performances of the degradable bioelectronics with excellent sensitivity and selectivity over those of non-dissolvable counterparts. A complete set of in vivo experiments with comparative analysis using carbon-fiber electrodes illustrates the capability for potential use as a clinically accessible tool to associated neurodegenerative diseases.

Original languageEnglish
Article number2108203
JournalAdvanced Materials
Issue number14
Publication statusPublished - 2022 Apr 7

Bibliographical note

Funding Information:
S.M.Y., J.H.S., and H.-U.C. contributed equally to this work. This work supported by a Korea University grant, KU-KIST Graduate School of Converging Science and Technology Program, National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (grant NRF-2017R1E1A1A01075027, NRF-2021R1A2B5B02002437, NRF-2020R1A2C2009389, and NRF-2020M3D1A1110548), Korea Medical Device Development Fund Grant funded by the Korea Government (the Ministry of Science and ICT, the Ministry of Trade, Industry & Energy, the Ministry of Health & Welfare, and the Ministry of Food and Drug Safety) (1711138262, KMDF_PR_20200901_0138-02), and the Ministry of the Science and ICT(MSIT), under the ICT Creative Consilience program (IITP-2022-2020-0-01819) supervised by the IITP (Institute for Information & communications Technology Planning & Evaluation). Computations for this research were performed on the Pennsylvania State University's Institute for Computational and Data Sciences Advanced CyberInfrastructure (ICDS-ACI). H.C. also acknowledges the support from the Doctoral New Investigator grant from the American Chemical Society Petroleum Research Fund (59021-DNI7) and National Science Foundation (ECCS-1933072).

Publisher Copyright:
© 2022 Wiley-VCH GmbH.


  • 2D materials
  • bioresorbable materials
  • neurochemical systems
  • silicon nanomembranes

ASJC Scopus subject areas

  • Materials Science(all)
  • Mechanics of Materials
  • Mechanical Engineering


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