Publication:
Optoelectronic neural interfaces based on quantum dots

dc.contributor.departmentDepartment of Electrical and Electronics Engineering
dc.contributor.departmentGraduate School of Sciences and Engineering
dc.contributor.kuauthorHan, Mertcan
dc.contributor.kuauthorKaratüm, Onuralp
dc.contributor.kuauthorNizamoğlu, Sedat
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteGRADUATE SCHOOL OF SCIENCES AND ENGINEERING
dc.date.accessioned2024-11-09T12:11:25Z
dc.date.issued2022
dc.description.abstractOptoelectronic modulation of neural activity is an emerging field for the investigation of neural circuits and the development of neural therapeutics. Among a wide variety of nanomaterials, colloidal quantum dots provide unique optoelectronic features for neural interfaces such as sensitive tuning of electron and hole energy levels via the quantum confinement effect, controlling the carrier localization via band alignment, and engineering the surface by shell growth and ligand engineering. Even though colloidal quantum dots have been frontier nanomaterials for solar energy harvesting and lighting, their application to optoelectronic neural interfaces has remained below their significant potential. However, this potential has recently gained attention with the rise of bioelectronic medicine. In this review, we unravel the fundamentals of quantum-dot-based optoelectronic biointerfaces and discuss their neuromodulation mechanisms starting from the quantum dot level up to electrode-electrolyte interactions and stimulation of neurons with their physiological pathways. We conclude the review by proposing new strategies and possible perspectives toward nanodevices for the optoelectronic stimulation of neural tissue by utilizing the exceptional nanoscale properties of colloidal quantum dots.
dc.description.fulltextYES
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.indexedbyPubMed
dc.description.issue18
dc.description.openaccessYES
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuEU
dc.description.sponsorshipEuropean Research Council (ERC)
dc.description.sponsorshipEuropean Union (EU)
dc.description.sponsorshipHorizon 2020
dc.description.sponsorshipResearch and Innovation Programme
dc.description.sponsorshipTurkish Academy of Sciences (TU?BA-GEBIP)
dc.description.sponsorshipThe Young Scientist Award Program
dc.description.sponsorshipScience Academy of Turkey (BAGEP)
dc.description.sponsorshipThe Young Scientist Award Program
dc.description.versionPublisher version
dc.description.volume14
dc.identifier.doi10.1021/acsami.1c25009
dc.identifier.eissn1944-8252
dc.identifier.embargoNO
dc.identifier.filenameinventorynoIR03670
dc.identifier.issn1944-8244
dc.identifier.quartileQ1
dc.identifier.scopus2-s2.0-85130048583
dc.identifier.urihttps://hdl.handle.net/20.500.14288/1056
dc.identifier.wos813116700001
dc.keywordsBranched self-cover
dc.keywordsElastic graph spine
dc.keywordsEmbedding energy
dc.keywordsQuadratic thurston map
dc.language.isoeng
dc.publisherAmerican Chemical Society (ACS)
dc.relation.grantno639846
dc.relation.ispartofACS Applied Materials and Interfaces
dc.relation.urihttp://cdm21054.contentdm.oclc.org/cdm/ref/collection/IR/id/10517
dc.subjectScience and technology
dc.titleOptoelectronic neural interfaces based on quantum dots
dc.typeReview
dspace.entity.typePublication
local.contributor.kuauthorNizamoğlu, Sedat
local.contributor.kuauthorHan, Mertcan
local.contributor.kuauthorKaratüm, Onuralp
local.publication.orgunit1College of Engineering
local.publication.orgunit1GRADUATE SCHOOL OF SCIENCES AND ENGINEERING
local.publication.orgunit2Department of Electrical and Electronics Engineering
local.publication.orgunit2Graduate School of Sciences and Engineering
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