Freestanding rGO electrodes with tunable porous structures for improved neural recording
Dong, M.; Yang, J.; Zhen, F.; Du, Y.; Ding, S.; Yu, A.; Zou, R.; Qiu, L.; Guo, Z.; Coleman, H. A.; Parkington, H. C.; Fallon, J. B.; Forsythe, J. S.; Liu, M.
Show abstract
Invasive neural electrodes prepared from materials with miniaturized geometrical size could improve the longevity of implants by reducing the chronic inflammatory response. Graphene-based microfibers with tunable porous structures have a large electrochemical surface area (ESA)/geometrical surface area (GSA) ratio that has been reported to possess low impedance and high charge injection capacity (CIC), yet the control of the porous structure remains to be fully investigated. In this study, we introduce wet-spun graphene-based electrodes with pores tuned by sucrose concentrations in the coagulation bath. The electrochemical properties of thermally reduced rGO were optimized by adjusting the ratio of rGO to sucrose, resulting in significantly lower impedance, higher CIC, and higher charge storage capacity (CSC) than platinum microwires. Tensile and insertion tests confirmed that optimized electrodes had sufficient strength to ensure a 100% insertion success rate with low angle shift, thus allowing precise implantation without the need for additional mechanical enhancement. Acute in-vivo recordings from the auditory cortex found low impedance benefits from the recorded amplitude of spikes, leading to an increase in the signal-to-noise ratio (SNR). Ex-vivo recordings from hippocampal brain slices demonstrate that it is possible to record and/or stimulate with graphene-based electrodes with good fidelity compared with conventional electrodes.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Rapid antifouling nanocomposite coating enables highly sensitive multiplexed electrochemical detection of myocardial infarction and concussion markers 95%
- High-Resolution Additive Manufacturing of a Biodegradable Elastomer with a Low-Cost LCD 3D Printer 94%
- A Truly Injectable Neural Stimulation Electrode Made from an In-Body Curing Polymer/Metal Composite 94%
Similar papers in this journal
Similar papers in this journal
- A biodegradable and restorative peripheral neural interface for the interrogation of neuropathic injuries 95%
- Electrocatalytic on-site oxygenation for transplanted cell-based-therapies 95%
- Micrometer-thick, porous, nanocomposite coating for electrochemical sensors with exceptional antifouling and electroconducting properties 95%
Similar papers in this journal
- Bioactive Hydrogel Microcapsules for Guiding Stem Cell Fate Decisions by Release and Reloading of Growth Factors 92%
- The Diameter Factor of Aligned Electrospinning Membranes Facilitates Cutaneous Wound Healing by Promoting Epithelialization 92%
- Stem cell-laden hydrogel bioink for generation of high resolution and fidelity engineered tissues with complex geometries 92%
Similar papers in this journal
- Wound state monitoring by multiplexed, electrochemical, real-time, localized, inflammation-tracking nitric oxide sensor (MERLIN) 96%
- Label-Free, Real-Time Monitoring of Cytochrome C Responses to Drugs in Microdissected Tumor Biopsies with a Multi-Well Aptasensor Platform 94%
- In situ measurement of intracellular thermal conductivity using heater-thermometer hybrid diamond nanosensor 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.