A Single Electrode Organic Neuromorphic Device for Dopamine Sensing in Vivo
Authors:
- Federico RondelliFRFederico Rondelli
- Michele Di LauroMLMichele Di Lauro
- Gioacchino Calandra SebastianellaGSGioacchino Calandra Sebastianella
- Anna De SalvoASAnna De Salvo
- Matteo GenitoniMGMatteo Genitoni
- Mauro MurgiaMMMauro Murgia
- Pierpaolo GrecoPGPierpaolo Greco
- Carolina Giulia FerroniCFCarolina Giulia Ferroni
- Riccardo ViaroRVRiccardo Viaro
- Luciano FadigaLFLuciano Fadiga
- Fabio BiscariniFBFabio Biscarini
Open Access
- 25 November 2024
- journal article
- research article
- Published by Wiley in Advanced Electronic Materials
- Vol. 10 (12)
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.Keywords
Funding Information
- Università Degli Studi di Modena e Reggio Emilia (Far 2018 E‐MAP)
- Istituto Italiano di Tecnologia
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