The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Comprehensive study of noise processes in electrode electrolyte interfaces
Abstract
A general circuit model is derived for the electrical noise of electrode–electrolyte systems, with emphasis on its implications for electrochemical sensors. The noise power spectral densities associated with all noise sources introduced in the model are also analytically calculated. Current and voltage fluctuations in typical electrode–electrolyte systems are demonstrated to originate from either thermal equilibrium noise created by conductors, or nonequilibrium excess noise caused by charge transfer processes produced by electrochemical interactions. The power spectral density of the thermal equilibrium noise is predicted using the fluctuation-dissipation theorem of thermodynamics, while the excess noise is assessed in view of charge transfer kinetics, along with mass transfer processes in the electrode proximity. The presented noise model not only explains previously reported noise spectral densities such as thermal noise in sensing electrodes, shot noise in electrochemical batteries, and 1/f noise in corrosive interfaces, it also provides design-oriented insight into the fabrication of low-noise micro- and nanoelectrochemical sensors.
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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
Thermal Agitation of Electricity in Conductors
Johnson, J. B. (1928) · Physical Review · doi:10.1103/physrev.32.97 · Cited by 1,811
Currents to Conductors Induced by a Moving Point Charge
Shockley, W. (1938) · Journal of Applied Physics · doi:10.1063/1.1710367 · Cited by 1,300
Cited by
Size dependence of nanostructures: Impact of bond order deficiency
Sun, C. Q. (2007) · Progress in Solid State Chemistry · doi:10.1016/j.progsolidstchem.2006.03.001 · Cited by 873
Revealing neuronal function through microelectrode array recordings
Obien, M. E. J., Deligkaris, K., Bullmann, T., Bakkum, D. J., & Frey, U. (2015) · Frontiers in Neuroscience · doi:10.3389/fnins.2014.00423 · Cited by 705
Ludwig, K. A., Langhals, N. B., Joseph, M. D., Richardson-Burns, S. M., Hendricks, J. L., & Kipke, D. R. (2011) · Journal of Neural Engineering · doi:10.1088/1741-2560/8/1/014001 · Cited by 283
Waleed Shinwari, M., Jamal Deen, M., & Landheer, D. (2007) · Microelectronics Reliability · doi:10.1016/j.microrel.2006.10.003 · Cited by 268
Metadata
- Authors
- Hassibi, A., Navid, R., Dutton, R. W., & Lee, T. H.
- Venue
- Journal of Applied Physics
- Publisher
- AIP Publishing
- Published
- 2004-07-15
- Volume
- 96
- Issue
- 2
- Pages
- 1074-1082
- ISSN
- 0021-8979 (ISSN-L)
- 1089-7550
- OpenAlex
- W2093262630
- Cited by
- 199
- References
- 3
- FWCI
- 2.93
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.