dc.contributor.author | Aydın, Elif Burcu | |
dc.contributor.author | Aydın, Muhammet | |
dc.contributor.author | Sezgintürk, Mustafa Kemal | |
dc.date.accessioned | 2022-05-11T14:48:10Z | |
dc.date.available | 2022-05-11T14:48:10Z | |
dc.date.issued | 2017 | |
dc.identifier.issn | 0956-5663 | |
dc.identifier.issn | 1873-4235 | |
dc.identifier.uri | https://doi.org/10.1016/j.bios.2017.05.056 | |
dc.identifier.uri | https://hdl.handle.net/20.500.11776/10607 | |
dc.description.abstract | A novel, ultrasensitive impedimetric immunosensor was constructed for the detection of tumor necrosis factor alpha (TNF alpha) by using Poly(3-thiophene acetic acid) (P3), a conjugated polymer as an immobilization matrix. The polymer P3 contains a lot of carboxylic acid groups on its surface that provide a larger biorecognition surface. This developed immunosensor was prepared on hydroxy-bearing ITO surface via an ester bond linkage of polymer P3 to immobilize anti-TNF alpha antibodies. The ITO electrode modification steps and interaction between anti-TNF alpha antibody and TNF alpha antigen were monitored by cyclic voltammetry (CV) and by electrochemical impedance spectroscopy (EIS) method. After the analytical parameters optimization, a linear detection response from 0.01 pg/mL to 2 pg/mL, a limit of detection LOD of 3.7 fg/mL and a limit of quantification (LOQ) of 12.4 fg/mL were achieved, which provided accurate results (relative standard deviation; 4.03%). The characterization of this developed immunosensor was performed by using Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), SEM-energy dispersive X-ray (EDX) mapping and atomic force microscopy (AFM). The immunosensor allowed a simple and fast detection of TNF alpha antigen in human serum and satisfied recoveries (98.69-105.20%) were obtained by using standard addition method. | en_US |
dc.description.sponsorship | TUBITAK (The Scientific and Technological Research Council of Turkey)Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [113 Z 678] | en_US |
dc.description.sponsorship | The financial support from TUBITAK (The Scientific and Technological Research Council of Turkey, Project number: 113 Z 678) is gratefully acknowledged. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Elsevier Advanced Technology | en_US |
dc.identifier.doi | 10.1016/j.bios.2017.05.056 | |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Tumor necrosis factor alpha | en_US |
dc.subject | Label free biosensor | en_US |
dc.subject | Electrochemical impedance spectroscopy | en_US |
dc.subject | Saliva biomarker | en_US |
dc.subject | Tumor-Necrosis-Factor | en_US |
dc.subject | Label-Free | en_US |
dc.subject | Electrochemical Immunosensor | en_US |
dc.subject | Early-Diagnosis | en_US |
dc.subject | Biosensor | en_US |
dc.subject | Interleukin-6 | en_US |
dc.subject | Aptasensor | en_US |
dc.subject | Biomarkers | en_US |
dc.subject | Nanoparticles | en_US |
dc.subject | Progression | en_US |
dc.title | A highly sensitive immunosensor based on ITO thin films covered by a new semi-conductive conjugated polymer for the determination of TNF alpha in human saliva and serum samples | en_US |
dc.type | article | en_US |
dc.relation.ispartof | Biosensors & Bioelectronics | en_US |
dc.department | Rektörlüğe Bağlı Bölümler, Rektörlük, Bilimsel ve Teknolojik Araştırmalar Uygulama ve Araştırma Merkezi | en_US |
dc.authorid | 0000-0002-8716-9970 | |
dc.identifier.volume | 97 | en_US |
dc.identifier.startpage | 169 | en_US |
dc.identifier.endpage | 176 | en_US |
dc.institutionauthor | Aydın, Muhammet | |
dc.institutionauthor | Aydın, Elif Burcu | |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.authorscopusid | 57194273220 | |
dc.authorscopusid | 55571487900 | |
dc.authorscopusid | 6506764918 | |
dc.authorwosid | Sezgintürk, Mustafa Kemal/AAY-1439-2021 | |
dc.authorwosid | AYDIN, Elif Burcu/ABA-9053-2020 | |
dc.identifier.wos | WOS:000405153000025 | en_US |
dc.identifier.scopus | 2-s2.0-85020253100 | en_US |
dc.identifier.pmid | 28599176 | en_US |