Publication: Optoelectronic neural interfaces based on quantum dots
dc.contributor.department | Department of Electrical and Electronics Engineering | |
dc.contributor.department | Graduate School of Sciences and Engineering | |
dc.contributor.kuauthor | Han, Mertcan | |
dc.contributor.kuauthor | Karatüm, Onuralp | |
dc.contributor.kuauthor | Nizamoğlu, Sedat | |
dc.contributor.schoolcollegeinstitute | College of Engineering | |
dc.contributor.schoolcollegeinstitute | GRADUATE SCHOOL OF SCIENCES AND ENGINEERING | |
dc.date.accessioned | 2024-11-09T12:11:25Z | |
dc.date.issued | 2022 | |
dc.description.abstract | Optoelectronic 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.fulltext | YES | |
dc.description.indexedby | WOS | |
dc.description.indexedby | Scopus | |
dc.description.indexedby | PubMed | |
dc.description.issue | 18 | |
dc.description.openaccess | YES | |
dc.description.publisherscope | International | |
dc.description.sponsoredbyTubitakEu | EU | |
dc.description.sponsorship | European Research Council (ERC) | |
dc.description.sponsorship | European Union (EU) | |
dc.description.sponsorship | Horizon 2020 | |
dc.description.sponsorship | Research and Innovation Programme | |
dc.description.sponsorship | Turkish Academy of Sciences (TU?BA-GEBIP) | |
dc.description.sponsorship | The Young Scientist Award Program | |
dc.description.sponsorship | Science Academy of Turkey (BAGEP) | |
dc.description.sponsorship | The Young Scientist Award Program | |
dc.description.version | Publisher version | |
dc.description.volume | 14 | |
dc.identifier.doi | 10.1021/acsami.1c25009 | |
dc.identifier.eissn | 1944-8252 | |
dc.identifier.embargo | NO | |
dc.identifier.filenameinventoryno | IR03670 | |
dc.identifier.issn | 1944-8244 | |
dc.identifier.quartile | Q1 | |
dc.identifier.scopus | 2-s2.0-85130048583 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14288/1056 | |
dc.identifier.wos | 813116700001 | |
dc.keywords | Branched self-cover | |
dc.keywords | Elastic graph spine | |
dc.keywords | Embedding energy | |
dc.keywords | Quadratic thurston map | |
dc.language.iso | eng | |
dc.publisher | American Chemical Society (ACS) | |
dc.relation.grantno | 639846 | |
dc.relation.ispartof | ACS Applied Materials and Interfaces | |
dc.relation.uri | http://cdm21054.contentdm.oclc.org/cdm/ref/collection/IR/id/10517 | |
dc.subject | Science and technology | |
dc.title | Optoelectronic neural interfaces based on quantum dots | |
dc.type | Review | |
dspace.entity.type | Publication | |
local.contributor.kuauthor | Nizamoğlu, Sedat | |
local.contributor.kuauthor | Han, Mertcan | |
local.contributor.kuauthor | Karatüm, Onuralp | |
local.publication.orgunit1 | College of Engineering | |
local.publication.orgunit1 | GRADUATE SCHOOL OF SCIENCES AND ENGINEERING | |
local.publication.orgunit2 | Department of Electrical and Electronics Engineering | |
local.publication.orgunit2 | Graduate School of Sciences and Engineering | |
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relation.isOrgUnitOfPublication.latestForDiscovery | 21598063-a7c5-420d-91ba-0cc9b2db0ea0 | |
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