Protein Quantification Via Lspr-Based Biosensor Platform Utilizing Chrono-Growth for Enhanced Sensitivity

dc.contributor.author Sozmen, A. B.
dc.contributor.author Arslan-Yildiz, A.
dc.date.accessioned 2024-07-02T13:33:04Z
dc.date.available 2024-07-02T13:33:04Z
dc.date.issued 2024
dc.description.abstract In this study an enhancement methodology, which utilizes time dependent growth of immobilized gold nanoparticles (GNPs) for LSPR-based biosensor platform was developed. The chrono-growth methodology was used for protein analysis and quantification. The method consisted GNP immobilization onto well-plates, GNP chronogrowth, and antibody functionalization. Success of each step was verified by UV-Vis spectrum measurement. Afterwards, the biosensor platform was tested to determine its characteristics. Bovine Serum Albumin (BSA) was chosen to be used as a model protein and an LoD value of 0.344 mu M and a dynamic detection range of 1 to 1000 mu M was calculated. The results were acquired within 30 min. Developed platform provides simple and rapid detection of the protein. en_US
dc.description.sponsorship Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAK, (221M589) en_US
dc.description.sponsorship Scientific and Technological Research Council of Turkiye (TUBITAK) [221M589] en_US
dc.description.sponsorship This study was funded by The Scientific and Technological Research Council of Turkiye (TUBITAK; 221M589) . en_US
dc.identifier.doi 10.1016/j.matlet.2024.136782
dc.identifier.issn 0167-577X
dc.identifier.issn 1873-4979
dc.identifier.scopus 2-s2.0-85196422333
dc.identifier.uri https://doi.org/10.1016/j.matlet.2024.136782
dc.identifier.uri https://hdl.handle.net/11147/14622
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.relation.ispartof Materials Letters en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Localized surface plasmon resonance en_US
dc.subject Biosensors en_US
dc.subject Gold Nanoparticles en_US
dc.subject Protein Detection en_US
dc.title Protein Quantification Via Lspr-Based Biosensor Platform Utilizing Chrono-Growth for Enhanced Sensitivity en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.scopusid 57201620092
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gdc.bip.impulseclass C5
gdc.bip.influenceclass C5
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gdc.coar.access metadata only access
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department Izmir Institute of Technology en_US
gdc.description.departmenttemp [Sozmen, A. B.; Arslan-Yildiz, A.] Izmir Inst Technol, Bioengn Dept Izmir, Urla, Turkiye en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q2
gdc.description.volume 370 en_US
gdc.description.woscitationindex Science Citation Index Expanded
gdc.description.wosquality Q3
gdc.identifier.openalex W4399560730
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gdc.oaire.popularity 3.0009937E-9
gdc.oaire.publicfunded false
gdc.openalex.collaboration National
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gdc.opencitations.count 0
gdc.plumx.mendeley 3
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gdc.scopus.citedcount 1
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relation.isOrgUnitOfPublication.latestForDiscovery 9af2b05f-28ac-4003-8abe-a4dfe192da5e

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