Modeling the Neuron-Carbon Nanotube-ISFET Junction to Investigate the Electrophysiological Neuronal Activity
Abstract
Carbon nanotubes arranged in vertical alignment and normal direction to the gate insulator of an ion-sensitive field-effect transistor are proposed as electrical interfaces to neurons, and a model of such a system is developed to simulate and analyze the electrical interactions and the induced extracellular neuronal electrical activity. The results pointed out nanotubes act on the amplitude and the shape of the recorded signals and promote an increase in the efficacy of neuronal signal transmission.
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The adoption of TCAD tools reduces technology development time and cost while providing insight into advanced physical phenomena, improving device design, yield, and reliability.
“The adoption of TCAD tools reduces technology development time and cost at the same time providing insight into advanced physical phenomena through self-consistent multidimensional modelling capabilities, improving device design, yield, and reliability.”
From Numerical simulation of ISFET structures for biosensing devices with TCAD tools (2015) · cites this paper as [7]
Cites
Development of an Ion-Sensitive Solid-State Device for Neurophysiological Measurements
Bergveld, P. (1970) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.1970.4502688 · Cited by 2,134 · see citing works
Transistor records of excitable neurons from rat brain
Vassanelli, S., & Fromherz, P. (1998) · Applied Physics A: Materials Science & Processing · doi:10.1007/s003390050695 · Cited by 74 · see citing works
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Nanotechnological strategies for engineering complex tissues
Dvir, T., Timko, B. P., Kohane, D. S., & Langer, R. (2011) · Nature Nanotechnology · doi:10.1038/nnano.2010.246 · Cited by 1,367 · see citing works
Numerical simulation of ISFET structures for biosensing devices with TCAD tools
Passeri, D., Morozzi, A., Kanxheri, K., & Scorzoni, A. (2015) · BioMedical Engineering OnLine · doi:10.1186/1475-925x-14-s2-s3 · Cited by 53 · see citing works
- Authors
- Massobrio, G., Massobrio, P., & Martinoia, S.
- Affiliations
- Italian Institute of Technology (IT)
- Neuroengineering and Bio-nanoTechnology Laboratory, Department of Biophysical and Electronic Engineering (DIBE), University of Genova, Via Opera Pia 11a, 16145 Genova, Italy, and Neuroscience and Brain Technology Department, Italian Institute of Technology, Via Morego 30, 16163 Genova, Italy
- ORCID
- Massobrio, Paolo
- Venue
- Nano Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2008-10-29
- Volume
- 8
- Issue
- 12
- Pages
- 4433-4440
- ISSN
- 1530-6984 (ISSN-L)
- 1530-6992
- OpenAlex
- W1979953522
- Cited by
- 32
- References
- 2
- Citations by year
- 2021: 2 · 2019: 1 · 2017: 2 · 2016: 4 · 2015: 4 · 2014: 1 · 2013: 2 · 2012: 4
- FWCI
- 1.73
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Nano Letters (publishedVersion)
- PubMed (publishedVersion)
- CINECA IRIS Institutial Research Information System (University of Genoa) (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electrochemical sensors and biosensors
- Physical Sciences › Engineering › Biomedical Engineering › Analog and Mixed-Signal Circuit Design
- Keywords
- carbon nanotubes, ion-sensitive field-effect transistor, electrophysiological recording
- MeSH terms
- Models, Theoretical, Neurons, Nanotubes, Carbon
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