Organic Electronic platforms for biosensing are being demonstrated at a fast pace, especially in healthcare applications where the use of organic (semi-)conductive materials leads to devices that efficiently interface living matter. Nevertheless, interesting properties of organic (semi-)conductors are usually neglected in the development of (bio-)sensors. Among these, the non-linear response when operated under dynamic biasing conditions (i.e., with pulsed driving voltages), thus mimicking synaptic plasticity phenomena, offers promising and largely unexplored possibilities for bio-sensing. The artificial synaptic response's figures of merit reflect the composition of the surrounding environment and, ultimately, the ion concentration and dynamics at the organic (semi-)conductor/electrolyte interface. Therefore, new sensing strategies that rely on the effect of target analytes on the short-term plasticity response of Organic Neuromorphic Devices are being demonstrated. This work presents the development of a label-free Single Electrode Neuromorphic Device (SEND) specifically designed for in vivo real-time mapping of dopamine concentration. The device response is investigated as a function of the driving frequency, resulting in the determination of the optimal operational configuration for minimally invasive neuromorphic devices. It exhibits stable multi-parametric response in complex fluids, in brain's mechanical models and in vivo, enabling monitoring of local variations of dopamine concentration in the rat brain.

A Single Electrode Organic Neuromorphic Device for Dopamine Sensing in Vivo / Rondelli, F.; Di Lauro, M.; Calandra Sebastianaella, G.; De Salvo, A.; Genitoni, M.; Murgia, M.; Greco, P.; Ferroni, C. G.; Viaro, R.; Fadiga, L.; Biscarini, F.. - In: ADVANCED ELECTRONIC MATERIALS. - ISSN 2199-160X. - 10:12(2024), pp. 2400467-2400467. [10.1002/aelm.202400467]

A Single Electrode Organic Neuromorphic Device for Dopamine Sensing in Vivo

Biscarini F.
Supervision
2024

Abstract

Organic Electronic platforms for biosensing are being demonstrated at a fast pace, especially in healthcare applications where the use of organic (semi-)conductive materials leads to devices that efficiently interface living matter. Nevertheless, interesting properties of organic (semi-)conductors are usually neglected in the development of (bio-)sensors. Among these, the non-linear response when operated under dynamic biasing conditions (i.e., with pulsed driving voltages), thus mimicking synaptic plasticity phenomena, offers promising and largely unexplored possibilities for bio-sensing. The artificial synaptic response's figures of merit reflect the composition of the surrounding environment and, ultimately, the ion concentration and dynamics at the organic (semi-)conductor/electrolyte interface. Therefore, new sensing strategies that rely on the effect of target analytes on the short-term plasticity response of Organic Neuromorphic Devices are being demonstrated. This work presents the development of a label-free Single Electrode Neuromorphic Device (SEND) specifically designed for in vivo real-time mapping of dopamine concentration. The device response is investigated as a function of the driving frequency, resulting in the determination of the optimal operational configuration for minimally invasive neuromorphic devices. It exhibits stable multi-parametric response in complex fluids, in brain's mechanical models and in vivo, enabling monitoring of local variations of dopamine concentration in the rat brain.
2024
10
12
2400467
2400467
A Single Electrode Organic Neuromorphic Device for Dopamine Sensing in Vivo / Rondelli, F.; Di Lauro, M.; Calandra Sebastianaella, G.; De Salvo, A.; Genitoni, M.; Murgia, M.; Greco, P.; Ferroni, C. G.; Viaro, R.; Fadiga, L.; Biscarini, F.. - In: ADVANCED ELECTRONIC MATERIALS. - ISSN 2199-160X. - 10:12(2024), pp. 2400467-2400467. [10.1002/aelm.202400467]
Rondelli, F.; Di Lauro, M.; Calandra Sebastianaella, G.; De Salvo, A.; Genitoni, M.; Murgia, M.; Greco, P.; Ferroni, C. G.; Viaro, R.; Fadiga, L.; Bis...espandi
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1368109
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