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Fluorescence-based immunosensor using three-dimensional CNT network structure for sensitive and reproducible detection of oral squamous cell carcinoma biomarker

Authors
Song, Chung KilOh, EunkyulKang, Min SungShin, Bum SeokHan, Soo YoungJung, MingiLee, Eui SeokYoon, Soo-YoungSung, Myung MoNg, Wei BengCho, Nam-JoonLee, Haiwon
Issue Date
Oct-2018
Publisher
Elsevier BV
Keywords
Cyfra 21-1; Fluorescence-based immunoassay; Oral squamous cell carcinoma; 3DN-CNTs; Biosensor
Citation
Analytica Chimica Acta, v.1027, pp 101 - 108
Pages
8
Indexed
SCI
SCIE
SCOPUS
Journal Title
Analytica Chimica Acta
Volume
1027
Start Page
101
End Page
108
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/149291
DOI
10.1016/j.aca.2018.04.025
ISSN
0003-2670
1873-4324
Abstract
A hierarchical three-dimensional network of carbon nanotubes on Si pillar substrate (3DN-CNTs) was developed for the accurate detection of oral squamous cell carcinoma (OSCC) in clinical saliva samples. The 3DN-CNTs were uniformly coated with a layer of aluminum oxides to enhance structural stability during biomarker detection. Cytokeratin-19 antigen (Cyfra 21-1) was utilized as a model biomarker of OSCC for fluorescence-based immunosensor using 3DN-CNTs (3DN-CNTs sensor). The 3DN-CNTs sensor enhances the sensitivity of Cyfra 21-1 detection by increasing the density of immobilized antibody through high surface area of 3DN-CNTs and enhancing the accessibility of biomolecules through the ordered pathway of hierarchical structure. The reliable detection limit for sensing of Cyfra 21-1 was estimated as in the level of 0.5 ng/mL and the quantitative estimation of Cyfra 21-1 was analyzed by 4parameter logistic (4-PL) model for curve-fitting analysis. Clinical applicability of 3DN-CNTs sensor was evaluated through correlation with the commercially available electrochemiluminescence (ECL) detection system in the hospital. The assay results of the two systems for clinical saliva samples showed a good linear correlation. The 3DN-CNTs sensor offers great potential for accurate diagnosis of OSCC using Cyfra 21-1 biomarker in clinical fluids.
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