journal article·2025-06-11

Biocompatible Lactulose-Based Resistive Random Access Memory for Implantable Electronics

Beom Soo Kim, Jong Bin An, Dong Hyun Choi, Byulhana Kim, Byung Ha Kang, Hyung Tae Kim, Moon Ho Lee, Hye Jin Son, Justin J. Chung, Hyun Jae Kim

ACS Applied Materials & Interfaces· Volume 17· Issue 23
Publisher page

Abstract

Bioimplantable memory devices for digital healthcare must satisfy various requirements, such as biocompatibility and biostability. In this study, a biocompatible and biostable resistive random-access memory (RRAM) based on lactulose was developed as a bioimplantable memory device. Lactulose is a nonabsorbable disaccharide that includes multiple hydroxyl groups (−OH). To improve the durability of the RRAM, lactulose, which is biocompatible and does not decompose easily in the human body, was selected as the switching-layer material. The fabricated lactulose-based RRAM demonstrated stable bipolar resistive switching characteristics with a switching window of approximately 10 3 . In addition, a native MgO x layer between the Mg top electrode and lactulose switching layer, which is attributed to bipolar resistive switching, was observed in the lactulose-based RRAM. Endurance and retention tests were conducted to confirm the stability of the device and its data storage properties. High uniformity and stability were also observed when the lactulose-based RRAM was built as a 6 × 6 crossbar array. Furthermore, an in vitro cell cytotoxicity test confirmed the feasibility for bioimplantable electronics of the fabricated lactulose-based RRAM, which shows a relative cell viability of 80.2% after 72 h of cell culture. Therefore, the lactulose-based RRAM can be used in bioimplantable electronics based on its bipolar resistive switching properties, stability, and data storage performance.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced Memory and Neural Computing · Neuroscience and Neural Engineering · Conducting polymers and applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea

Department of Transdisciplinary Medicine

Seoul National University Hospital

Interdisciplinary Program in Bioengineering, College of Engineering

Seoul National University

Department of Chemical Engineering

Massachusetts Institute of Technology

Department of Medicine

Seoul National University College of Medicine

Innovative Medical Technology Research Institute, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea

Funding

National Research Foundation of Korea

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