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CogniFiber:利用生物相容性和可生物降解的 1D 胶原纳米纤维实现可持续的非易失性存储和突触学习应用。

CogniFiber: Harnessing Biocompatible and Biodegradable 1D Collagen Nanofibers for Sustainable Nonvolatile Memory and Synaptic Learning Applications.

机构信息

Computational Electronics and Nanoscience Research Laboratory, School of Nanoscience and Biotechnology, Shivaji University, Kolhapur, 416004, India.

Yashwantrao Chavan School of Rural Development, Shivaji University, Kolhapur, 416004, India.

出版信息

Adv Mater. 2024 Jun;36(24):e2312484. doi: 10.1002/adma.202312484. Epub 2024 Mar 26.

Abstract

Here, resistive switching (RS) devices are fabricated using naturally abundant, nontoxic, biocompatible, and biodegradable biomaterials. For this purpose, 1D chitosan nanofibers (NFs), collagen NFs, and chitosan-collagen NFs are synthesized by using an electrospinning technique. Among different NFs, the collagen-NFs-based device shows promising RS characteristics. In particular, the optimized Ag/collagen NFs/fluorine-doped tin oxide RS device shows a voltage-tunable analog memory behavior and good nonvolatile memory properties. Moreover, it can also mimic various biological synaptic learning properties and can be used for pattern classification applications with the help of the spiking neural network. The time series analysis technique is employed to model and predict the switching variations of the RS device. Moreover, the collagen NFs have shown good cytotoxicity and anticancer properties, suggesting excellent biocompatibility as a switching layer. The biocompatibility of collagen NFs is explored with the help of NRK-52E (Normal Rat Kidney cell line) and MCF-7 (Michigan Cancer Foundation-7 cancer cell line). Additionally, the biodegradability of the device is evaluated through a physical transient test. This work provides a vital step toward developing a biocompatible and biodegradable switching material for sustainable nonvolatile memory and neuromorphic computing applications.

摘要

在这里,使用天然丰富、无毒、生物相容和可生物降解的生物材料来制造电阻式开关(RS)器件。为此,通过电纺技术合成了 1D 壳聚糖纳米纤维(NFs)、胶原蛋白 NFs 和壳聚糖-胶原蛋白 NFs。在不同的 NFs 中,基于胶原蛋白-NFs 的器件表现出有前途的 RS 特性。特别是,优化后的 Ag/胶原蛋白 NFs/掺氟氧化锡 RS 器件具有可电压调节的模拟记忆行为和良好的非易失性记忆特性。此外,它还可以模仿各种生物突触学习特性,并借助尖峰神经网络用于模式分类应用。采用时间序列分析技术对 RS 器件的开关变化进行建模和预测。此外,胶原蛋白 NFs 表现出良好的细胞毒性和抗癌特性,表明其作为开关层具有优异的生物相容性。借助 NRK-52E(正常大鼠肾细胞系)和 MCF-7(密歇根癌症基金会-7 癌细胞系)探索了胶原蛋白 NFs 的生物相容性。此外,通过物理瞬态测试评估了器件的可生物降解性。这项工作朝着开发用于可持续非易失性存储器和神经形态计算应用的生物相容和可生物降解的开关材料迈出了重要的一步。

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