Glassy Carbon Microelectrode Arrays Enable Voltage-Peak Separated Simultaneous Detection of Dopamine and Serotonin Using Fast Scan Cyclic Voltammetry
Elisa Castagnola, Sanitta Thongpang, Mieko Hirabayashi, Giorgio Nava,, Surabhi Nimbalkar, Tri Nguyen, Sandra Lara, Alexis Oyawale, James Bunnell,, Chet Moritz, Sam Kassegne

TL;DR
This study introduces glassy carbon microelectrode arrays combined with fast scan cyclic voltammetry for stable, high-resolution, simultaneous detection of dopamine and serotonin in vivo, advancing neurochemical monitoring capabilities.
Contribution
The paper presents a novel fabrication of glassy carbon microelectrode arrays on flexible substrates and demonstrates their effective use with FSCV for simultaneous neurotransmitter detection.
Findings
Able to discriminate dopamine and serotonin peaks using optimized FSCV parameters.
Achieved detection of neurotransmitters at concentrations as low as 10 nM.
Demonstrated stable, repeatable detection in vitro and in vivo.
Abstract
Progress in real-time, simultaneous in vivo detection of multiple neurotransmitters will help accelerate advances in neuroscience research. The need for development of probes capable of stable electrochemical detection of rapid neurotransmitter fluctuations with high sensitivity and selectivity and sub-second temporal resolution has, therefore, become compelling. Additionally, a higher spatial resolution multi-channel capability is required to capture the complex neurotransmission dynamics across different brain regions. These research needs have inspired the introduction of glassy carbon (GC) microelectrode arrays on flexible polymer substrates through carbon MEMS (C-MEMS) microfabrication process followed by a novel pattern transfer technique. These implantable GC microelectrodes offer unique advantages in electrochemical detection of electroactive neurotransmitters through the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
