Neurotrophic and Antioxidative Ionogel-Gated Synaptic Transistor for Biofunctional Neuromorphic Systems
Electrolyte-gated synaptic transistors (EGSTs) offer strong potential for bioimplantable neuromorphic devices due to the direct applicability of biocompatible electrolytes, but their device-level biocompatibility assessments and the use of therapeutically beneficial electrolytes remain largely unexplored. Herein, we introduce an EGST gated by a neuroactive-cytoprotective matrix (NCM) ionogel, a glutathione-functionalized gelatin hydrogel loaded with nerve growth factor (NGF), combined with an indium–gallium–zinc oxide semiconductor channel. Ellman’s assay confirms the abundant thiol groups indicative of antioxidative potential, while NGF-mediated cell proliferation reaches 2001.08% after 5 d, validating the neurotrophic functionality of the NCM ionogel. When integrated into an EGST configuration, the device reliably reproduces essential synaptic behaviors, including a paired-pulse facilitation index of 131.86% and stable retention of 32 conductance states over 2048 pulsing events. Artificial neural network simulations further achieve a recognition accuracy of 88.17% after 125 training epochs. Cytotoxicity testing demonstrates excellent device-level biocompatibility, with 126.44% relative cell viability after 3 days, establishing the NCM ionogel-gated EGST as a promising candidate for next-generation bioimplantable computing platforms.
Authors
- Byulhana Kim
- Seok Gyu Hong
- Young Bin Choy (ORCID: https://orcid.org/0000-0001-6300-9377)
- Beom Soo Kim (ORCID: https://orcid.org/0000-0002-7974-7865)
- Justin J. Chung (ORCID: https://orcid.org/0000-0001-8058-2255)
- Seyun Ahn
- Kunho Moon (ORCID: https://orcid.org/0009-0001-1106-3985)
- Ki Min Park
- Jong Bin An
- and
- Young Kim
Institutions
- Seoul National University (KR)
- Yonsei University (KR)
- New Generation University College (ET)
- Seoul National University Hospital (KR)
Publication Details
- Journal
- ACS Nano Medicine
- Published
- 2026-02-06
- DOI
- https://doi.org/10.1021/acsnanomed.5c00167
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00