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Impedance Characterization and Modeling of Electrodes for Biomedical Applications
Abstract
A low electrode-electrolyte impedance interface is critical in the design of electrodes for biomedical applications. To design low-impedance interfaces a complete understanding of the physical processes contributing to the impedance is required. In this work a model describing these physical processes is validated and extended to quantify the effect of organic coatings and incubation time. Electrochemical impedance spectroscopy has been used to electrically characterize the interface for various electrode materials: platinum, platinum black, and titanium nitride; and varying electrode sizes: 1 cm2, and 900 microm2. An equivalent circuit model comprising an interface capacitance, shunted by a charge transfer resistance, in series with the solution resistance has been fitted to the experimental results. Theoretical equations have been used to calculate the interface capacitance impedance and the solution resistance, yielding results that correspond well with the fitted parameter values, thereby confirming the validity of the equations. The effect of incubation time, and two organic cell-adhesion promoting coatings, poly-L-lysine and laminin, on the interface impedance has been quantified using the model. This demonstrates the benefits of using this model in developing better understanding of the physical processes occurring at the interface in more complex, biomedically relevant situations.
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Cites
Atlas of Electrochemical Equilibria in Aqueous Solutions
Pourbaix, M. (1974) · doi:10.5006/37502 · Cited by 8,026
Impedance Spectroscopy: Theory, Experiment, and Applications
(2005) · Wiley eBooks · doi:10.1002/0471716243 · Cited by 5,322
Armstrong, R. D. (1988) · Electrochimica Acta · doi:10.1016/0013-4686(88)80076-8 · Cited by 1,945
Kinetics of rapid electrode reactions
Randles, J. E. B. (1947) · Discussions of the Faraday Society · doi:10.1039/df9470100011 · Cited by 1,884
Electrocatalysts for O2 reduction
Yeager, E. (1984) · Electrochimica Acta · doi:10.1016/0013-4686(84)85006-9 · Cited by 1,222
Wegener, J., Keese, C. R., & Giaever, I. (2000) · Experimental Cell Research · doi:10.1006/excr.2000.4919 · Cited by 769
Ueber das Verhalten sogenannter unpolarisirbarer Elektroden gegen Wechselstrom
Warburg, E. (1899) · Annalen der Physik · doi:10.1002/andp.18993030302 · Cited by 468
In vitro electrical properties for iridium oxide versus titanium nitride stimulating electrodes
Weiland, J. D., Anderson, D. J., & Humayun, M. S. (2002) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2002.805487 · Cited by 382
ELECTRODE POLARIZATION IMPEDANCE AND MEASUREMENTS IN BIOLOGICAL MATERIALS*
Schwan, H. P. (1968) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.1968.tb20349.x · Cited by 368
Mirsky, V. M., Riepl, M., & Wolfbeis, O. S. (1997) · Biosensors and Bioelectronics · doi:10.1016/s0956-5663(97)00053-5 · Cited by 289
Cited by
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
A transverse intrafascicular multichannel electrode (TIME) to interface with the peripheral nerve
Boretius, T., Badia, J., Pascual-Font, A., Schuettler, M., Navarro, X., Yoshida, K., & Stieglitz, T. (2010) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2010.05.010 · Cited by 468
A Materials Roadmap to Functional Neural Interface Design
Wellman, S. M., Eles, J. R., Ludwig, K. A., Seymour, J. P., Michelson, N. J., McFadden, W. E., Vazquez, A. L., & Kozai, T. D. Y. (2018) · Advanced Functional Materials · doi:10.1002/adfm.201701269 · Cited by 389
Ripples in the medial temporal lobe are relevant for human memory consolidation
Axmacher, N., Elger, C. E., & Fell, J. (2008) · Brain · doi:10.1093/brain/awn103 · Cited by 372
A Minimally Invasive 64-Channel Wireless μECoG Implant
Muller, R., Le, H.-P., Li, W., Ledochowitsch, P., Gambini, S., Bjorninen, T., Koralek, A., Carmena, J. M., Maharbiz, M. M., Alon, E., et al. (2015) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2014.2364824 · Cited by 372
Oxley, T. J., Opie, N. L., John, S. E., Rind, G. S., Ronayne, S. M., Wheeler, T. L., Judy, J. W., McDonald, A. J., Dornom, A., Lovell, T. J. H., et al. (2016) · Nature Biotechnology · doi:10.1038/nbt.3428 · Cited by 339
Muller, R., Gambini, S., & Rabaey, J. M. (2012) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2011.2163552 · Cited by 338
In Vitro and In Vivo Evaluation of PEDOT Microelectrodes for Neural Stimulation and Recording
Venkatraman, S., Hendricks, J., King, Z. A., Sereno, A. J., Richardson-Burns, S., Martin, D., & Carmena, J. M. (2011) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2011.2109399 · Cited by 319
Boehler, C., Carli, S., Fadiga, L., Stieglitz, T., & Asplund, M. (2020) · Nature Protocols · doi:10.1038/s41596-020-0389-2 · Cited by 308
CMOS nanoelectrode array for all-electrical intracellular electrophysiological imaging
Abbott, J., Ye, T., Qin, L., Jorgolli, M., Gertner, R. S., Ham, D., & Park, H. (2017) · Nature Nanotechnology · doi:10.1038/nnano.2017.3 · Cited by 266
Wearable silver nanowire dry electrodes for electrophysiological sensing
Myers, A. C., Huang, H., & Zhu, Y. (2015) · RSC Advances · doi:10.1039/c4ra15101a · Cited by 231
Nguyen, T. A., Yin, T.-I., Reyes, D., & Urban, G. A. (2013) · Analytical Chemistry · doi:10.1021/ac402761s · Cited by 189
Implantable neurotechnologies: a review of micro- and nanoelectrodes for neural recording
Patil, A. C., & Thakor, N. V. (2016) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-015-1430-4 · Cited by 175
A review for the peripheral nerve interface designer
Larson, C. E., & Meng, E. (2020) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2019.108523 · Cited by 133
Stimulus-artifact elimination in a multi-electrode system.
Brown, E. A., Ross, J. D., Blum, R. A., Nam, Y., Wheeler, B. C., & DeWeerth, S. P. (2008) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2008.918285 · Cited by 95
Uehlin, J. P., Smith, W. A., Pamula, V. R., Pepin, E. P., Perlmutter, S., Sathe, V., & Rudell, J. C. (2020) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2020.2991524 · Cited by 81
Selective stimulation and neural recording on peripheral nerves using flexible split ring electrodes
Lee, S., Sheshadri, S., Xiang, Z., Delgado-Martinez, I., Xue, N., Sun, T., Thakor, N. V., Yen, S.-C., & Lee, C. (2017) · Sensors and Actuators B: Chemical · doi:10.1016/j.snb.2016.09.127 · Cited by 73
Neural interfaces engineered via micro- and nanostructured coatings
Chen, N., Tian, L., Patil, A. C., Peng, S., Yang, I. H., Thakor, N. V., & Ramakrishna, S. (2017) · Nano Today · doi:10.1016/j.nantod.2017.04.007 · Cited by 74
An integrated system for simultaneous, multichannel neuronal stimulation and recording.
Blum, R. A., Ross, J. D., Brown, E. A., & DeWeerth, S. P. (2007) · IEEE Transactions on Circuits and Systems I Regular Papers · doi:10.1109/tcsi.2007.906071 · Cited by 74
Chronic intracortical neural recordings using microelectrode arrays coated with PEDOT–TFB
Charkhkar, H., Knaack, G. L., McHail, D. G., Mandal, H. S., Peixoto, N., Rubinson, J. F., Dumas, T. C., & Pancrazio, J. J. (2016) · Acta Biomaterialia · doi:10.1016/j.actbio.2015.12.022 · Cited by 68
Syringe-injectable electronics with a plug-and-play input/output interface.
Schuhmann, T. G., Yao, J., Hong, G., Fu, T.-M., & Lieber, C. M. (2017) · Nano Letters · doi:10.1021/acs.nanolett.7b03081 · Cited by 63
Foldes, E. L., Ackermann, D. M., Bhadra, N., Kilgore, K. L., & Bhadra, N. (2011) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2010.12.020 · Cited by 61
Polymeric C-shaped cuff electrode for recording of peripheral nerve signal
Xue, N., Sun, T., Tsang, W. M., Delgado-Martinez, I., Lee, S.-H., Sheshadri, S., Xiang, Z., Merugu, S., Gu, Y., Yen, S.-C., et al. (2015) · Sensors and Actuators B: Chemical · doi:10.1016/j.snb.2015.01.006 · Cited by 48
A Fully Integrated RF-Powered Energy-Replenishing Current-Controlled Stimulator
Ha, S., Kim, C., Park, J., Cauwenberghs, G., & Mercier, P. P. (2019) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2018.2881800 · Cited by 35
Flexible epineural strip electrode for recording in fine nerves
Lee, S., Yen, S.-C., Sheshadri, S., Martinez, I. D., Xue, N., Xiang, Z., Thakor, N. V., & Lee, C. (2016) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2015.2466442 · Cited by 33
Culaclii, S., Kim, B., Lo, Y.-K., Li, L., & Liu, W. (2018) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2018.2816464 · Cited by 34
“99 V, as derived from [26] with Pt parameters from [28].”
Lin, S.-P., Kyriakides, T. R., & Chen, J.-J. J. (2009) · Biomaterials · doi:10.1016/j.biomaterials.2009.03.017 · Cited by 25
A Low Noise Amplifier for Neural Spike Recording Interfaces
Ruiz-Amaya, J., Rodriguez-Perez, A., & Delgado-Restituto, M. (2015) · Sensors · doi:10.3390/s151025313 · Cited by 23
Analysis of passive charge balancing for safe current-mode neural stimulation
Rueda, G. L. E., Ballini, M., Van Hellepute, N., & Mitra, S. (2017) · 2017 IEEE International Symposium on Circuits and Systems (ISCAS) · doi:10.1109/iscas.2017.8050621 · Cited by 11
Overview of On-Chip Stimulator Designs for Biomedical Applications
Lin, C.-Y., & Ker, M.-D. (2012) · Journal of Neuroscience and Neuroengineering · doi:10.1166/jnsne.2012.1023 · Cited by 9
Metadata
- Authors
- Franks, W., Schenker, I., Schmutz, P., & Hierlemann, A.
- Venue
- IEEE Transactions on Biomedical Engineering
- Published
- 2005-07
- Volume
- 52
- Issue
- 7
- Pages
- 1295-1302
- ISSN
- 0018-9294 (ISSN-L)
- OpenAlex
- W2126012359
- Cited by
- 659
- References
- 26
- FWCI
- 5.55
- Type
- journal article
- Language
- en
- Open access
- closed
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