@article{644c580e21d74885a6ef7be9afdb5007,
title = "Fluorescence-based immunosensor using three-dimensional CNT network structure for sensitive and reproducible detection of oral squamous cell carcinoma biomarker",
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 4-parameter 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.",
keywords = "3DN-CNTs, Biosensor, Cyfra 21-1, Fluorescence-based immunoassay, Oral squamous cell carcinoma",
author = "Song, {Chung Kil} and Eunkyul Oh and Kang, {Min Sung} and Shin, {Bum Seok} and Han, {Soo Young} and Mingi Jung and Lee, {Eui Seok} and Yoon, {Soo Young} and Sung, {Myung Mo} and Ng, {Wei Beng} and Cho, {Nam Joon} and Haiwon Lee",
note = "Funding Information: This work was supported by the National Research Foundation (NRF) grants funded by the Korean government (MSIP) (No. 2012M3A7B4035286). This work also supported by the MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2017-1711055214) supervised by the IITP (Institute for Information & communications Technology Promotion). This work was also supported by Basic Science Research Program (No. 2012R1A6A1029029) through the NRF funded by the Ministry of Education. Funding was also provided by the grant (FA2386-15-1-4081) from the AFOSR/AOARD, USA. Funding Information: This work was supported by the National Research Foundation (NRF) grants funded by the Korean government (MSIP) (No. 2012M3A7B4035286 ). This work also supported by the MSIT (Ministry of Science and ICT) , Korea, under the ITRC (Information Technology Research Center) support program ( IITP-2017-1711055214 ) supervised by the IITP (Institute for Information & communications Technology Promotion). This work was also supported by Basic Science Research Program (No. 2012R1A6A1029029 ) through the NRF funded by the Ministry of Education . Funding was also provided by the grant ( FA2386-15-1-4081 ) from the AFOSR/AOARD , USA. ",
year = "2018",
month = oct,
day = "16",
doi = "10.1016/j.aca.2018.04.025",
language = "English",
volume = "1027",
pages = "101--108",
journal = "Analytica Chimica Acta",
issn = "0003-2670",
publisher = "Elsevier",
}