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Bioelectronic organ-based sensor for microfluidic real-time analysis of the demand in insulin

dc.rights.licenseopenen_US
hal.structure.identifierChimie et Biologie des Membranes et des Nanoobjets [CBMN]
dc.contributor.authorPERRIER, Romain
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorPIROG, Antoine
hal.structure.identifierChimie et Biologie des Membranes et des Nanoobjets [CBMN]
dc.contributor.authorJAFFREDO, Manon
hal.structure.identifierChimie et Biologie des Membranes et des Nanoobjets [CBMN]
dc.contributor.authorGAITAN, Julien
hal.structure.identifierChimie et Biologie des Membranes et des Nanoobjets [CBMN]
dc.contributor.authorCATARGI, Bogdan
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorRENAUD, Sylvie
hal.structure.identifierChimie et Biologie des Membranes et des Nanoobjets [CBMN]
dc.contributor.authorRAOUX, Matthieu
hal.structure.identifierChimie et Biologie des Membranes et des Nanoobjets [CBMN]
dc.contributor.authorLANG, Jochen
dc.date.accessioned2020-04-06T13:24:41Z
dc.date.available2020-04-06T13:24:41Z
dc.date.issued2018
dc.identifier.issn0956-5663en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/4119
dc.description.abstractEnOn-line and real-time analysis of micro-organ activity permits to use the endogenous analytical power of cellular signal transduction algorithms as biosensors. We have developed here such a sensor using only a few pancreatic endocrine islets and the avoidance of transgenes or chemical probes reduces bias and procures general usage. Nutrient and hormone-induced changes in islet ion fluxes through channels provide the first integrative read-out of micro-organ activity. Using extracellular electrodes we captured this read-out non-invasively as slow potentials which reflect glucose concentration-dependent (3-15mM) micro-organ activation and coupling. Custom-made PDMS-based microfluidics with platinum black micro-electrode arrays required only some tens of islets and functioned at flow rates of 1-10microl/min which are compatible with microdialysis. We developed hardware solutions for on-line real-time analysis on a reconfigurable Field-Programmable Gate Array (FPGA) that offered resource-efficient architecture and storage of intermediary processing stages. Moreover, real-time adaptive and reconfigurable algorithms accounted for signal disparities and noise distribution. Based on islet slow potentials, this integrated set-up allowed within less than 40mus the discrimination and precise automatic ranking of small increases (2mM steps) of glucose concentrations in real time and within the physiological glucose range. This approach shall permit further development in continuous monitoring of the demand for insulin in type 1 diabetes as well as monitoring of organs-on-chip or maturation of stem-cell derived islets.
dc.language.isoENen_US
dc.subject.enDiabetes
dc.subject.enIslets
dc.subject.enContinuous glucose monitoring
dc.subject.enMicro-electrode arrays
dc.subject.enOn-line real-time analysis
dc.subject.enField programmable gate array
dc.title.enBioelectronic organ-based sensor for microfluidic real-time analysis of the demand in insulin
dc.title.alternativeBiosensors & bioelectronicsen_US
dc.typeArticle de revueen_US
dc.identifier.doi10.1016/j.bios.2018.06.015
dc.subject.halChimie/Matériauxen_US
bordeaux.journalBiosens Bioelectronen_US
bordeaux.page253-259en_US
bordeaux.volume117en_US
bordeaux.hal.laboratoriesInstitut de Chimie & de Biologie des Membranes & des Nano-objets (CBMN) - UMR 5248
bordeaux.institutionBordeaux INPen_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.identifierhal-03184379
hal.version1
hal.date.transferred2021-03-29T12:09:27Z
hal.exporttrue
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