Advances in Protein-Based Resistive Switching Memory: Fundamentals, Challenges, and Applications

The advancement of protein-based resistive switching (RS) memory devices represents a promising leap in memory technology for sustainable and biocompatible electronic applications. Conventional memory devices, relying heavily on semiconductor materials, face challenges such as high-power consumption, scalability limits, and environmental impact. Protein-based RS devices offer an alternative by the exploitation of the inherent properties of proteins, such as structural diversity, biocompatibility, and biodegradability, making them viable for eco-friendly as well as suitable for flexible electronics. This review delves into the fundamentals of protein-based RS devices, detailing the switching mechanisms and classifications. It explores an in-depth account of protein-based RS devices with the diverse protein candidates including albumin, azurin, silk fibroin, ferritin, gelatin, keratin, lysozyme, protamine sulfate, soya protein, etc. to date. It also highlights each protein’s unique properties and performance metrics. The review also addresses the primary conduction mechanisms in protein-based RS devices, which are critical to understand switching behaviors and device stability. A comprehensive discussion about the challenges faced by the scientific community in order to incorporate proteins into RS-based memory devices along with strategies for improving performance, such as reducing switching voltage, enhancing retention, and enabling multilevel resistive states, is included. Finally, the review identifies key future directions for protein-based RS memory devices, focusing on scalability, performance optimization, and potential applications in neuromorphic computing, bioelectronics, and implantable devices. This comprehensive review aims to guide future research in developing protein-based RS technologies as an environmentally sustainable and high-performing solution for next-generation memory devices.

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Publication Details

Journal
ACS Applied Electronic Materials
Published
2025-03-11
DOI
https://doi.org/10.1021/acsaelm.4c02008
Citations
6
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
4.38

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article

Advances in Protein-Based Resistive Switching Memory: Fundamentals, Challenges, and Applications

Syed Arshad Hussain, Hritinava Banik, Rahul Deb, Debajyoti Bhattacharjee et al.
6 citations
ACS Applied Electronic Materials
Advanced Memory and Neural Computing
4.38
article

Advances in Protein-Based Resistive Switching Memory: Fundamentals, Challenges, and Applications

Syed Arshad Hussain, Hritinava Banik, Rahul Deb, Debajyoti Bhattacharjee, Surajit Sarkar
article en
6 citations

Abstract

The advancement of protein-based resistive switching (RS) memory devices represents a promising leap in memory technology for sustainable and biocompatible electronic applications. Conventional memory devices, relying heavily on semiconductor materials, face challenges such as high-power consumption, scalability limits, and environmental impact. Protein-based RS devices offer an alternative by the exploitation of the inherent properties of proteins, such as structural diversity, biocompatibility, and biodegradability, making them viable for eco-friendly as well as suitable for flexible electronics. This review delves into the fundamentals of protein-based RS devices, detailing the switching mechanisms and classifications. It explores an in-depth account of protein-based RS devices with the diverse protein candidates including albumin, azurin, silk fibroin, ferritin, gelatin, keratin, lysozyme, protamine sulfate, soya protein, etc. to date. It also highlights each protein’s unique properties and performance metrics. The review also addresses the primary conduction mechanisms in protein-based RS devices, which are critical to understand switching behaviors and device stability. A comprehensive discussion about the challenges faced by the scientific community in order to incorporate proteins into RS-based memory devices along with strategies for improving performance, such as reducing switching voltage, enhancing retention, and enabling multilevel resistive states, is included. Finally, the review identifies key future directions for protein-based RS memory devices, focusing on scalability, performance optimization, and potential applications in neuromorphic computing, bioelectronics, and implantable devices. This comprehensive review aims to guide future research in developing protein-based RS technologies as an environmentally sustainable and high-performing solution for next-generation memory devices.

ACS Applied Electronic MaterialsVol. 7(6)
Shitennoji University (JP), Tripura University (IN)
Department of Science and Technology, Ministry of Science and Technology, India, Council of Scientific and Industrial Research, India
Openalex Percentile: Top 6%
Advanced Memory and Neural Computing
4.38
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