Boron nitride-mediated semiconductor nanonetwork for an ultralow-power fibrous synaptic transistor and C-reactive protein sensing

被引:13
作者
Li, Mufang [1 ]
Shu, Qing [1 ]
Qing, Xing [1 ]
Wu, Jianmei [1 ]
Xiao, Qing [1 ]
Jia, Kangyu [1 ]
Wang, Xungai [2 ]
Wang, Dong [1 ]
机构
[1] Wuhan Text Univ, Wuhan Text Univ, Key Lab Text Fiber & Prod, Minist Educ, Wuhan 430200, Peoples R China
[2] Hong Kong Polytech Univ, Sch Fash & Text, JC STEM Lab Sustainable Fibers & Text, Hong Kong, Peoples R China
基金
中国国家自然科学基金;
关键词
Boron nitride - Durability - Energy efficiency - Energy utilization - III-V semiconductors - Nanotechnology - Nitrides - Polypyrroles - Proteins - Transconductance - Transistors;
D O I
10.1039/d2tc05426d
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
A bioinspired organic electrochemical transistor (OECT) with synaptic and sensing functions has shown great potential in wearable neuromorphic electronics and brain-like sensory systems. Despite the extraordinary progress in simulating neuromorphic functions, it is still difficult to design a synaptic OECT with a bionic structure, long-term durability, low energy consumption and biomarker monitoring capability. Here, a fibrous OECT (FOECT) constructed from functional boron nitride (FBN)-mediated polypyrrole (PPy) neurofibers and an ion-gel dielectric is proposed for the first time. Benefiting from the porous and consecutive PPy nanonetwork, the synaptic FOECT shows a large on-off current ratio (1.46 x 10(4)) and high transconductance (24.6 mS). Key synaptic features, such as excitatory/inhibitory postsynaptic current (EPSC/IPSC), paired-pulse facilitation/depression (PPF/PPD), short-term plasticity (STP) and cyclic endurance (4000 cycles) were successfully emulated. A low power consumption of 0.85 pj per spike was attained due to the short energy dissipation pathway of the nanostructured PPy channel. In addition, a high surface area and big transconductance guaranteed the FOECT a linear detection region (coefficient R-2 = 0.966) towards 10 pg mL(-1)-0.2 mg mL(-1) of C-reactive protein (CRP) with good reproducibility. Hence, this work details a promising strategy for next-generation smart textiles with energy-efficient neuromorphic computing and high-performance synaptic devices.
引用
收藏
页码:5208 / 5216
页数:9
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