Microfluidic Platform for Sorting Materials Based on Their Densities Using Magnetic Levitation

dc.contributor.author Yılmaz, Esra
dc.contributor.author Özçivici, Engin
dc.contributor.author Tekin, Hüseyin Cumhur
dc.coverage.doi 10.1109/ASYU48272.2019.8946406
dc.date.accessioned 2020-07-18T03:35:15Z
dc.date.available 2020-07-18T03:35:15Z
dc.date.issued 2019
dc.description 2019 Innovations in Intelligent Systems and Applications Conference, ASYU 2019 -- 31 October 2019 through 2 November 2019 en_US
dc.description.abstract Circulating Tumor Cells (CTCs) play a vital role in cancer diagnosis, prognosis and personalized medicine. However, CTCs are extremely rare in blood (i.e., down to 1-100 CTC per 1 mL human blood) and hard to isolate because of the heterogeneity of CTCs in biomarker expression. The current CTC separation and identification techniques use numerous differences between cells such as size, electric charges, density and expression of cell surface markers. However, these techniques have many limitations in terms of laborious sample preparation steps, inconsistent results caused by low specificity and efficiency and high cost. Hence, there is no standard method for isolating CTCs yet. With this study, it was aimed to fill the gap in CTC isolation and identification by proposing to develop a new method based on magnetic levitation principle, which has recently been demonstrated as a highly acceptable method for biological characterization of cells and monitoring of their cellular events. In this study, we have developed a new label-free microfluidic sorter to separate microparticles/cells based on their densities using magnetic levitation principle. Two different density microparticles (1.02 g/mL and 1.09 g/ mL) have been sorted and quantified in a continuous flow using a set of permanent magnets located in a 3D printed structure surrounding the microfluidic channel. This device can be used for rapid, low cost and label-free in-vitro diagnosis of cancer by sorting CTCs from whole blood in a high-Throughput manner. The sorted cells might further be used for downstream analysis for personalized and precision medicine. © 2019 IEEE. en_US
dc.identifier.doi 10.1109/ASYU48272.2019.8946406
dc.identifier.isbn 9781728128689
dc.identifier.scopus 2-s2.0-85078335933
dc.identifier.uri https://doi.org/10.1109/ASYU48272.2019.8946406
dc.identifier.uri https://hdl.handle.net/11147/7841
dc.language.iso en en_US
dc.publisher Institute of Electrical and Electronics Engineers Inc. en_US
dc.relation.ispartof 2019 Innovations in Intelligent Systems and Applications Conference, ASYU 2019 en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Cell sorting en_US
dc.subject Density-based measurement en_US
dc.subject Magnetic levitation en_US
dc.subject Microfluidics en_US
dc.title Microfluidic Platform for Sorting Materials Based on Their Densities Using Magnetic Levitation en_US
dc.type Conference Object en_US
dspace.entity.type Publication
gdc.author.institutional Yılmaz, Esra
gdc.author.institutional Özçivici, Engin
gdc.author.institutional Tekin, Hüseyin Cumhur
gdc.bip.impulseclass C5
gdc.bip.influenceclass C5
gdc.bip.popularityclass C5
gdc.coar.access open access
gdc.coar.type text::conference output
gdc.collaboration.industrial false
gdc.description.department İzmir Institute of Technology. Bioengineering en_US
gdc.description.endpage 5
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality N/A
gdc.description.startpage 1
gdc.description.wosquality N/A
gdc.identifier.openalex W2997650255
gdc.identifier.wos WOS:000631252400056
gdc.index.type WoS
gdc.index.type Scopus
gdc.oaire.diamondjournal false
gdc.oaire.impulse 1.0
gdc.oaire.influence 2.7755807E-9
gdc.oaire.isgreen true
gdc.oaire.keywords Cell sorting
gdc.oaire.keywords Magnetic levitation
gdc.oaire.keywords Microfluidics
gdc.oaire.keywords Density-based measurement
gdc.oaire.popularity 2.4284865E-9
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0301 basic medicine
gdc.oaire.sciencefields 0303 health sciences
gdc.oaire.sciencefields 03 medical and health sciences
gdc.openalex.collaboration National
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gdc.openalex.normalizedpercentile 0.64
gdc.opencitations.count 2
gdc.plumx.crossrefcites 1
gdc.plumx.mendeley 16
gdc.plumx.scopuscites 3
gdc.scopus.citedcount 3
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