title: Flexible Sensory Platform Based on Oxide-based Neuromorphic Transistors.
abstract: Inspired by the dendritic integration and spiking operation of a biological neuron, flexible oxide-based neuromorphic transistors with multiple input gates are fabricated on flexible plastic substrates for pH sensor applications. When such device is operated in a quasi-static dual-gate synergic sensing mode, it shows a high pH sensitivity of ~105 mV/pH. Our results also demonstrate that single-spike dynamic mode can remarkably improve pH sensitivity and reduce response/recover time and power consumption. Moreover, we find that an appropriate negative bias applied on the sensing gate electrode can further enhance the pH sensitivity and reduce the power consumption. Our flexible neuromorphic transistors provide a new-concept sensory platform for biochemical detection with high sensitivity, rapid response and ultralow power consumption.
authors.affiliation: School of Electronic Science &Engineering, Nanjing University, Nanjing 210093, People's Republic of China.|Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, People's Republic of China.
authors.forename: Ning
authors.initials: N
authors.lastname: Liu
authors.affiliation: Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, People's Republic of China.
authors.forename: Li Qiang
authors.initials: LQ
authors.lastname: Zhu
authors.affiliation: School of Electronic Science &Engineering, Nanjing University, Nanjing 210093, People's Republic of China.
authors.forename: Ping
authors.initials: P
authors.lastname: Feng
authors.affiliation: Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, People's Republic of China.
authors.forename: Chang Jin
authors.initials: CJ
authors.lastname: Wan
authors.affiliation: Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, People's Republic of China.
authors.forename: Yang Hui
authors.initials: YH
authors.lastname: Liu
authors.affiliation: School of Electronic Science &Engineering, Nanjing University, Nanjing 210093, People's Republic of China.
authors.forename: Yi
authors.initials: Y
authors.lastname: Shi
authors.affiliation: School of Electronic Science &Engineering, Nanjing University, Nanjing 210093, People's Republic of China.|Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, People's Republic of China.
authors.forename: Qing
authors.initials: Q
authors.lastname: Wan
mesh_terms: D000818:Animals; D015374:Biosensing Techniques / Q000295:instrumentation / Q000379:methods*; D003712:Dendrites / Q000502:physiology; D025802:Electric Capacitance; D004867:Equipment Design; D006801:Humans; D006863:Hydrogen-Ion Concentration; D007204:Indium / Q000737:chemistry; D009474:Neurons / Q000502:physiology; D009482:Neurophysiology / Q000295:instrumentation / Q000379:methods*; D010087:Oxides / Q000737:chemistry*; D015203:Reproducibility of Results; D012822:Silicon Dioxide / Q000737:chemistry; D013569:Synapses / Q000502:physiology; D014173:Transistors, Electronic; D015034:Zinc Oxide / Q000737:chemistry
chemical_list: D010087:Oxides; D007204:Indium; C047711:indium oxide; D012822:Silicon Dioxide; D015034:Zinc Oxide