Bilgilendirme: Sürüm Güncellemesi ve versiyon yükseltmesi nedeniyle, geçici süreyle zaman zaman kesintiler yaşanabilir ve veri içeriğinde değişkenlikler gözlemlenebilir. Göstereceğiniz anlayış için teşekkür ederiz.
 

Identification of Circulating Tumor Cells Using Plasmonic Resonance Effect: Lab-On Analysis and Modelling

dc.contributor.author Salmanogli, Ahmad
dc.contributor.author Gokcen, Dincer
dc.contributor.authorID 280089 tr_TR
dc.contributor.other 01. Çankaya Üniversitesi
dc.date.accessioned 2020-12-01T08:11:28Z
dc.date.accessioned 2025-09-18T12:08:16Z
dc.date.available 2020-12-01T08:11:28Z
dc.date.available 2025-09-18T12:08:16Z
dc.date.issued 2020
dc.description Gokcen, Dincer/0000-0003-1847-1356; Salmanogli, Ahmad/0000-0002-3587-5582 en_US
dc.description.abstract Circulating tumor cells are widely used as biomarkers of cancer. Although early detection of these cells is vital for diagnosis and prognosis of deadly cancer, it is still a challenging issue due to the complex matrix of blood and their low presence in the bloodstream. In the present study, we propose a micro-channeled lab-on-a-chip system using two distinct methods based upon dielectrophoretic force and electrical properties of cells to increase the cell detection capability and identification efficiency and accuracy. The dielectric properties of cells contribute to the difference between negatively charged residues on the cell surface. Firstly, the dielectrophoretic force is used to separate background cells; then, the proposed high-accuracy identification method is used to better examine and study the unidentified cells. In the next phase, by amplification of the current of the unidentified cells flowing through the nanoparticle plasmonic resonance effects, the microfluidics output efficiency is significantly improved. As a result, highly accurate cell identification is achieved by taking advantage of the nanoparticle plasmonic properties. Overall, nanoparticle scattering in the plasmonic resonance condition, as well as their plasmonic hybridization, can improve output signal-to-noise ratio. en_US
dc.description.publishedMonth 3
dc.identifier.citation Salmanoğli, Ahmad (2020). "Identification of Circulating Tumor Cells Using Plasmonic Resonance Effect: Lab-on-a- Chip Analysis and Modelling", Journal of Nanoscience and Nanotechnology, Vol. 20, No. 3, pp. 1341-1350. en_US
dc.identifier.doi 10.1166/jnn.2020.17163
dc.identifier.issn 1533-4880
dc.identifier.issn 1533-4899
dc.identifier.uri https://doi.org/10.1166/jnn.2020.17163
dc.identifier.uri https://hdl.handle.net/123456789/11080
dc.language.iso en en_US
dc.publisher Amer Scientific Publishers en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Circulating Tumor Cells en_US
dc.subject Nanoparticles en_US
dc.subject Plasmon Resonance en_US
dc.subject Lab On A Chip en_US
dc.title Identification of Circulating Tumor Cells Using Plasmonic Resonance Effect: Lab-On Analysis and Modelling en_US
dc.title Identification of Circulating Tumor Cells Using Plasmonic Resonance Effect: Lab-on-a- Chip Analysis and Modelling tr_TR
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id Gokcen, Dincer/0000-0003-1847-1356
gdc.author.id Salmanogli, Ahmad/0000-0002-3587-5582
gdc.author.wosid Salmanogli, Ahmad/Aax-3976-2020
gdc.author.wosid Gokcen, Dincer/H-8723-2016
gdc.description.department Çankaya University en_US
gdc.description.departmenttemp [Salmanogli, Ahmad; Gokcen, Dincer] Hacettepe Univ, Fac Engn, Elect & Elect Engn Dept, TR-06800 Ankara, Turkey; [Salmanogli, Ahmad] Cankaya Univ, Fac Engn, Elect & Elect Engn Dept, TR-06800 Ankara, Turkey en_US
gdc.description.endpage 1350 en_US
gdc.description.issue 3 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.startpage 1341 en_US
gdc.description.volume 20 en_US
gdc.description.woscitationindex Science Citation Index Expanded
gdc.identifier.openalex W2972253741
gdc.identifier.pmid 31492293
gdc.identifier.wos WOS:000484782900003
gdc.openalex.fwci 0.10786217
gdc.openalex.normalizedpercentile 0.44
gdc.opencitations.count 0
gdc.plumx.pubmedcites 1
gdc.wos.citedcount 3
relation.isOrgUnitOfPublication 0b9123e4-4136-493b-9ffd-be856af2cdb1
relation.isOrgUnitOfPublication.latestForDiscovery 0b9123e4-4136-493b-9ffd-be856af2cdb1

Files