@article{4583409596bc437bbf8885ae431ac6ea,
title = "Hetero-Integration of Silicon Nanomembranes with 2D Materials for Bioresorbable, Wireless Neurochemical System",
abstract = "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.",
author = "Yang, {Seung Min} and Shim, {Jae Hyung} and Cho, {Hyun U.} and Jang, {Tae Min} and Ko, {Gwan Jin} and Jeongeun Shim and Kim, {Tae Hee} and Jia Zhu and Sangun Park and Kim, {Yoon Seok} and Joung, {Su Yeon} and Choe, {Jong Chan} and Shin, {Jeong Woong} and Lee, {Joong Hoon} and Kang, {Yu Min} and Huanyu Cheng and Youngmee Jung and Lee, {Chul Ho} and Jang, {Dong Pyo} and Hwang, {Suk Won}",
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: {\textcopyright} 2022 Wiley-VCH GmbH.",
year = "2022",
month = apr,
day = "7",
doi = "10.1002/adma.202108203",
language = "English (US)",
volume = "34",
journal = "Advanced Materials",
issn = "0935-9648",
publisher = "Wiley-VCH Verlag",
number = "14",
}