MRS Meetings and Events

 

SB06.15.04 2022 MRS Spring Meeting

Neurites Whispering at Adaptive Sensors—High Spike-Signal-to-Noise Ratio Recorded with Electropolymerized Microelectrode Arrays

When and Where

May 24, 2022
8:30am - 8:45am

SB06-Virtual

Presenter

Co-Author(s)

Mahdi Ghazal1,Corentin Scholaert1,Michel Daher Mansour1,Sebastien Janel2,Nicolas Barois2,Sophie Halliez3,Thomas Dargent1,Yannick Coffinier1,Sebastien Pecqueur1,Fabien Alibart1,4

Institut d'Electronique de Microélectronique et de Nanotechnologie1,Institut Pasteur Lille, U1019 - UMR 9017 - CIIL - Center for Infection and Immunity of Lille2,Inserm Laboratoire UMR-S11723,Laboratoire Nanotechnologies & Nanosystèmes (LN2)4

Abstract

Mahdi Ghazal1,Corentin Scholaert1,Michel Daher Mansour1,Sebastien Janel2,Nicolas Barois2,Sophie Halliez3,Thomas Dargent1,Yannick Coffinier1,Sebastien Pecqueur1,Fabien Alibart1,4

Institut d'Electronique de Microélectronique et de Nanotechnologie1,Institut Pasteur Lille, U1019 - UMR 9017 - CIIL - Center for Infection and Immunity of Lille2,Inserm Laboratoire UMR-S11723,Laboratoire Nanotechnologies & Nanosystèmes (LN2)4
The development of electronic devices for neurosensing is leading to fundamental discoveries in communication setups for interfacing and computing the brain's electrical activity that is still a demanding task in the 21<sup>st</sup> century. One of the greatest challenges for efficient neurosensing is to ensure that detection/transduction between biochemically rich systems and tools is fully mastered to reliably gather relevant information. In extracellular devices such as microelectrode arrays (MEAs), the discordance lies at the interface between ions and the electrodes. Engineering chemically/morphologically the electrode’s materials by decreasing its impedance, improving its affinity with neurons, and boosting its biocompatibility ensures better cell/electrode interface conditions to find the right materials that detect ionic signals from neurons and transduce them into electronic signals with the lowest information loss. Hence, the use of conducting polymers (PEDOT) has emerged for optimizing the performance of microelectrodes in neurosensing due to its mixed ionic electronic conduction, biocompatibility and low impedance. In parallel to the development of passive microelectrode, organic electrochemical transistors (OECTs) have received lots of attention in the biosensing field since they exhibit high coupling with cells and signal amplification. Notably, the transconductance represents an important parameter that depends on geometrical and material parameters that rules largely OECTs performances in biosensing.<br/><br/>In this direction, we explore the use of EDOT electropolymerization to tune post-fabrication material and geometrical parameters of passive microelectrodes for optimizing the cell/electrode interface by decreasing its impedance and improving its affinity with neurons (increasing the resistance “Rseal” that represents the cell/electrode cleft). For electropolymerized PEDOT MEAs, we demonstrate long term and stable extracellular recording of primary cortical neurons with a record signal-to-noise ratio (SNR) up to 37 dB (with ultra-low noise down to 2.1 μV RMS). Secondly, for active sensing with OECTs, this strategy exploits the concept of adaptive sensing where both transconductance and impedance are tuned simultaneously or independently. This approach shows an improvement of OECTs transconductance by 150%, volumetric capacitance by 300%, and a reduction in array’s variability by 60% in comparison with standard spin-coated OECTs.<br/>The cytotoxicity of the electropolymerized EDOT was assessed for primary neural cells culture and no detrimental effect of electropolymerized EDOT on cell viability was observed. To extract the impedance and transconductance values for both MEAs and OECTs, we combine DC electrical measurements with electrochemical impedance spectroscopy (EIS). To show the cell/electrode morphology and neurite outgrowth to electropolymerized microelectrodes, Scanning Electron Microscopy (SEM) was performed. To correlate the morphological changes of the material with the enhancement of its electrical and electrochemical performances, Atomic Force Microscopy (AFM) in liquid and Raman Spectroscopy were achieved. Finally, <i>in-vitro</i> extracellular recorded signals from entorhinal cortex cultured slices and primary cortical neurons using both MEAs and OECTs are presented.<br/>The key novelty of this technique is to propose a post-fabrication material engineering technique that can be used to optimize both passive (MEAs) and active (OECTs) devices for extracellular recording and promote new exploratory sensing strategies to ensure high quality neurosensing alternatives.

Keywords

polymerization

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