Sensitive and Rapid Protein Assay Via Magnetic Levitation

dc.contributor.author Sözmen, Alper Baran
dc.contributor.author Arslan Yıldız, Ahu
dc.date.accessioned 2022-07-18T08:15:03Z
dc.date.available 2022-07-18T08:15:03Z
dc.date.issued 2022
dc.description.abstract Magnetic levitation (MagLev) is a newly emerging methodology for biosensing that provides a density-based analysis, which is highly sensitive and versatile. In this study, a magnetic levitation based sensor platform was used for protein detection; and sensor platform optimization was performed for both sensitivity and resolution. Bovine Serum Albumin (BSA) was used as a model protein and detection of BSA was carried out by antibody functionalized polystyrene microspheres (PSMs). Various sizes of PSMs were examined and their performances were compared by statistical analyses in terms of limit of detection (LOD), sensitivity, and resolution. Quantification of the protein was done based on the magnetic levitation height differences of antibody functionalized PSMs. For optimization of the methodology, varied PSMs were utilized, and standardization of PSM diameter, concentration of the antibody to be functionalized, and PSM dilution rates were carried out. In conclusion, 20 μm PSMs diluted to 0.005% W/V and functionalized with anti-BSA antibody at a concentration of 28 μg/ml were determined to provide the best resolution for BSA detection. A dynamic range of 100 nM to 1 mM was observed with an LOD value of 4.1 ng/ml. This sensing platform promises a novel approach with a diverse application field and it provides rapid, consistent, and reproducible results with high resolution and sensitivity. en_US
dc.identifier.doi 10.1016/j.biosx.2022.100137
dc.identifier.issn 25901370 en_US
dc.identifier.issn 25901370
dc.identifier.issn 2590-1370
dc.identifier.scopus 2-s2.0-85128225234
dc.identifier.uri https://doi.org/10.1016/j.biosx.2022.100137
dc.identifier.uri https://hdl.handle.net/11147/12159
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.relation.ispartof Biosensors and Bioelectronics: X en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Density based biosensor en_US
dc.subject Magnetic levitation en_US
dc.subject Protein detection en_US
dc.title Sensitive and Rapid Protein Assay Via Magnetic Levitation en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id 0000-0003-0348-0575
gdc.author.id 0000-0002-2633-3837
gdc.author.id 0000-0003-0348-0575 en_US
gdc.author.id 0000-0002-2633-3837 en_US
gdc.author.institutional Sözmen, Alper Baran
gdc.author.institutional Arslan Yıldız, Ahu
gdc.bip.impulseclass C5
gdc.bip.influenceclass C5
gdc.bip.popularityclass C4
gdc.coar.access open access
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.contributor.affiliation 01. Izmir Institute of Technology en_US
gdc.contributor.affiliation 01. Izmir Institute of Technology en_US
gdc.description.department İzmir Institute of Technology. Bioengineering en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q2
gdc.description.volume 10 en_US
gdc.description.wosquality N/A
gdc.identifier.openalex W4223639150
gdc.index.type Scopus
gdc.oaire.accesstype GOLD
gdc.oaire.diamondjournal false
gdc.oaire.impulse 4.0
gdc.oaire.influence 2.7384606E-9
gdc.oaire.isgreen false
gdc.oaire.keywords Magnetic levitation
gdc.oaire.keywords Density based biosensor
gdc.oaire.keywords Protein detection
gdc.oaire.keywords TP248.13-248.65
gdc.oaire.keywords Biotechnology
gdc.oaire.popularity 5.941057E-9
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 02 engineering and technology
gdc.oaire.sciencefields 0210 nano-technology
gdc.oaire.sciencefields 01 natural sciences
gdc.oaire.sciencefields 0104 chemical sciences
gdc.openalex.collaboration National
gdc.openalex.fwci 0.66598422
gdc.openalex.normalizedpercentile 0.56
gdc.opencitations.count 4
gdc.plumx.crossrefcites 4
gdc.plumx.mendeley 11
gdc.plumx.scopuscites 6
gdc.scopus.citedcount 6
relation.isAuthorOfPublication.latestForDiscovery 4d88164b-6323-467a-b07e-6d9b6a3dde92
relation.isOrgUnitOfPublication.latestForDiscovery 9af2b05f-28ac-4003-8abe-a4dfe192da5e

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