<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>12(1)</volume><submitter>Bounakoff C</submitter><funding>Fonds de recherche du Québec – Nature et technologies</funding><pubmed_abstract>Most biological sensors preferentially encode changes in a stimulus rather than the steady components. However, intrinsically phasic artificial mechanoreceptors have not yet been described. We constructed a phasic mechanoreceptor by encapsulating carbon nanotube film in a viscoelastic matrix supported by a rigid substrate. When stimulated by a spherical indenter the sensor response resembled the response of fast-adapting mammalian mechanoreceptors. We modelled these sensors from the properties of percolating conductive networks combined with nonlinear contact mechanics and discussed the implications of this finding.</pubmed_abstract><journal>Scientific reports</journal><pagination>2818</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8907247</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Artificial fast-adapting mechanoreceptor based on carbon nanotube percolating network.</pubmed_title><pmcid>PMC8907247</pmcid><pubmed_authors>Hayward V</pubmed_authors><pubmed_authors>Genest J</pubmed_authors><pubmed_authors>Bounakoff C</pubmed_authors><pubmed_authors>Beauvais J</pubmed_authors><pubmed_authors>Michaud F</pubmed_authors></additional><is_claimable>false</is_claimable><name>Artificial fast-adapting mechanoreceptor based on carbon nanotube percolating network.</name><description>Most biological sensors preferentially encode changes in a stimulus rather than the steady components. However, intrinsically phasic artificial mechanoreceptors have not yet been described. We constructed a phasic mechanoreceptor by encapsulating carbon nanotube film in a viscoelastic matrix supported by a rigid substrate. When stimulated by a spherical indenter the sensor response resembled the response of fast-adapting mammalian mechanoreceptors. We modelled these sensors from the properties of percolating conductive networks combined with nonlinear contact mechanics and discussed the implications of this finding.</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Mar</publication><modification>2025-04-04T20:23:34.071Z</modification><creation>2025-04-04T20:23:34.071Z</creation></dates><accession>S-EPMC8907247</accession><cross_references><pubmed>35264589</pubmed><doi>10.1038/s41598-021-04483-2</doi></cross_references></HashMap>