Multi-walled carbon nanotube based multi-electrode arrays for the detection of the emergent activity in the cortical network
We present a novel carbon nanotube growth method for the selective growth of high density arrays of multi walled carbon nanotubes (MWCNT) on multi electrode arrays systems (MEA). Platinum (Pt) has been used as the electrode material but also as the metal to catalyse the growth of the MWCNTs. These M...
| Autores: | , , , , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2013 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/415821 |
| Acceso en línea: | http://hdl.handle.net/10261/415821 https://api.elsevier.com/content/abstract/scopus_id/84879355414 |
| Access Level: | acceso abierto |
| Palabra clave: | Carbon nanotubes Cyclic voltammetry Electrical impedance spectroscopy Integration Multi electrode array system Neural recording http://metadata.un.org/sdg/9 Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation |
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Multi-walled carbon nanotube based multi-electrode arrays for the detection of the emergent activity in the cortical networkMartín Fernández, ÍñigoGabriel, GemmaGuimerà, AntonPalomer, XavierReig, RamonSanchez-Vives, Maria V.Villa, RosaGodignon, PhilippeCarbon nanotubesCyclic voltammetryElectrical impedance spectroscopyIntegrationMulti electrode array systemNeural recordinghttp://metadata.un.org/sdg/9Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovationWe present a novel carbon nanotube growth method for the selective growth of high density arrays of multi walled carbon nanotubes (MWCNT) on multi electrode arrays systems (MEA). Platinum (Pt) has been used as the electrode material but also as the metal to catalyse the growth of the MWCNTs. These MWCNTs modified electrodes present a lower impedance compared to the original electrodes and thus, enhance the electrode sensitivity, increase its electric charge transfer and also improve the electrode-tissue contact. The system was tested for the recording of spontaneous rhythmic activity generated by ferret cortical slices before and after blockade of inhibition. © 2013 Elsevier B.V. All rights reserved.RV work has been funded by the project SAF2009-14724-C02-02 co-financed by the Spanish Ministry of Science and Innovation and the European Regional Development Fund. MVSV work was supported by Ministerio de Economía y Competitividad (Spain)Peer reviewedElsevierMinisterio de Economía y Competitividad (España)Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202620262013info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/415821https://api.elsevier.com/content/abstract/scopus_id/84879355414reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/MICINN//SAF2009-14724-C02-02info:eu-repo/grantAgreement/MICINN//BFU2011-27094Microelectronic Engineeringhttps://doi.org/10.1016/j.mee.2013.05.009Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/4158212026-05-22T06:33:51Z |
| dc.title.none.fl_str_mv |
Multi-walled carbon nanotube based multi-electrode arrays for the detection of the emergent activity in the cortical network |
| title |
Multi-walled carbon nanotube based multi-electrode arrays for the detection of the emergent activity in the cortical network |
| spellingShingle |
Multi-walled carbon nanotube based multi-electrode arrays for the detection of the emergent activity in the cortical network Martín Fernández, Íñigo Carbon nanotubes Cyclic voltammetry Electrical impedance spectroscopy Integration Multi electrode array system Neural recording http://metadata.un.org/sdg/9 Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation |
| title_short |
Multi-walled carbon nanotube based multi-electrode arrays for the detection of the emergent activity in the cortical network |
| title_full |
Multi-walled carbon nanotube based multi-electrode arrays for the detection of the emergent activity in the cortical network |
| title_fullStr |
Multi-walled carbon nanotube based multi-electrode arrays for the detection of the emergent activity in the cortical network |
| title_full_unstemmed |
Multi-walled carbon nanotube based multi-electrode arrays for the detection of the emergent activity in the cortical network |
| title_sort |
Multi-walled carbon nanotube based multi-electrode arrays for the detection of the emergent activity in the cortical network |
| dc.creator.none.fl_str_mv |
Martín Fernández, Íñigo Gabriel, Gemma Guimerà, Anton Palomer, Xavier Reig, Ramon Sanchez-Vives, Maria V. Villa, Rosa Godignon, Philippe |
| author |
Martín Fernández, Íñigo |
| author_facet |
Martín Fernández, Íñigo Gabriel, Gemma Guimerà, Anton Palomer, Xavier Reig, Ramon Sanchez-Vives, Maria V. Villa, Rosa Godignon, Philippe |
| author_role |
author |
| author2 |
Gabriel, Gemma Guimerà, Anton Palomer, Xavier Reig, Ramon Sanchez-Vives, Maria V. Villa, Rosa Godignon, Philippe |
| author2_role |
author author author author author author author |
| dc.contributor.none.fl_str_mv |
Ministerio de Economía y Competitividad (España) Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] |
| dc.subject.none.fl_str_mv |
Carbon nanotubes Cyclic voltammetry Electrical impedance spectroscopy Integration Multi electrode array system Neural recording http://metadata.un.org/sdg/9 Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation |
| topic |
Carbon nanotubes Cyclic voltammetry Electrical impedance spectroscopy Integration Multi electrode array system Neural recording http://metadata.un.org/sdg/9 Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation |
| description |
We present a novel carbon nanotube growth method for the selective growth of high density arrays of multi walled carbon nanotubes (MWCNT) on multi electrode arrays systems (MEA). Platinum (Pt) has been used as the electrode material but also as the metal to catalyse the growth of the MWCNTs. These MWCNTs modified electrodes present a lower impedance compared to the original electrodes and thus, enhance the electrode sensitivity, increase its electric charge transfer and also improve the electrode-tissue contact. The system was tested for the recording of spontaneous rhythmic activity generated by ferret cortical slices before and after blockade of inhibition. © 2013 Elsevier B.V. All rights reserved. |
| publishDate |
2013 |
| dc.date.none.fl_str_mv |
2013 2026 2026 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_6501 Publisher's version info:eu-repo/semantics/publishedVersion |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/10261/415821 https://api.elsevier.com/content/abstract/scopus_id/84879355414 |
| url |
http://hdl.handle.net/10261/415821 https://api.elsevier.com/content/abstract/scopus_id/84879355414 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
| dc.relation.none.fl_str_mv |
#PLACEHOLDER_PARENT_METADATA_VALUE# #PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/MICINN//SAF2009-14724-C02-02 info:eu-repo/grantAgreement/MICINN//BFU2011-27094 Microelectronic Engineering https://doi.org/10.1016/j.mee.2013.05.009 Sí |
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info:eu-repo/semantics/openAccess |
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openAccess |
| dc.publisher.none.fl_str_mv |
Elsevier |
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Elsevier |
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reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC instname:Consejo Superior de Investigaciones Científicas (CSIC) |
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Consejo Superior de Investigaciones Científicas (CSIC) |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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1869417380701011968 |
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15,812455 |