Biocompatible Lactulose-Based Resistive Random Access Memory for Implantable Electronics

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<sup>3</sup>. In addition, a native MgO<sub><i>x</i></sub> 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 <i>in vitro</i> 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.

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Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2025-05-28
DOI
https://doi.org/10.1021/acsami.5c04446
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00

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article

Biocompatible Lactulose-Based Resistive Random Access Memory for Implantable Electronics

Hye Jin Son, Jong Bin An, Hyun Jae Kim, Byulhana Kim et al.
ACS Applied Materials & Interfaces
Advanced Memory and Neural Computing
article

Biocompatible Lactulose-Based Resistive Random Access Memory for Implantable Electronics

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

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<sup>3</sup>. In addition, a native MgO<sub><i>x</i></sub> 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 <i>in vitro</i> 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.

ACS Applied Materials & InterfacesVol. 17(23)
Seoul National University (KR), Yonsei University (KR), New Generation University College (ET), Seoul National University Hospital (KR), Massachusetts Institute of Technology (US)
National Research Foundation of Korea
Affordable and clean energy
Openalex Percentile: Top 90%
Advanced Memory and Neural Computing
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