3차원 탄소나노튜브 네트워크 구조에서 표면증강 라만 산란 분광법 기반의 암 바이오마커 CA125의 검출에 대한 연구

Abstract

Carbon nanotubes (CNTs) structure have engaged structure much attention due to their great mechanical and electrical characteristics. Especially, it is expected that three dimensional (3D) network of CNTs of high density is useful for highly sensitive biosensors. Also, compared to plane Al2O3-coated substrates, 3D network of CNTs can bring the enhanced performances to specific biosensing. Recently, biosensing using surface enhanced Raman scattering (SERS) is gaining larger interest as SERS can afford specificity and small limits of detection. At present, enzyme-linked immune-sorbent assay (ELISA) is the most commonly used immunoassay method to detect the existence of an antigen or its matching antibody. The ELISA system allows for quantitative estimation of various biomarkers in interaction in immunoassays, detection using fluorescence labeled molecular is most commonly used in ELISA method because of high sensitivity and low detection limits for biologically related species. But, decreasing of fluorescence and its broad emission bands limited the multiplex detection potential. So, this detection using the SERS spectroscopy method has become a promising alternative to settle the limitations of fluorescence detection. For Raman peaks are 10-100 times narrower than fluorescence bands, these studies show that SERS enhancement is basically controlled by the nanostructure materials, shapes, porosity, and the substrates on which the nanostructures are deposited. Here, Al2O3-coated 3D Network of CNTs, specially, has been developed for these reasons. However, SERS detection method is very difficult to control the uniform distribution of hot spots on the substrate because of this non-uniform distribution of hot spots. This inconsistent enhancement is one of the main reason that the SERS detection method has not been able to provide reproducible results of target biomarkers detection. To resolve this problem, the SERS imaging method has been employed to achieve a reproducibility of biomarkers on 2D planar substrate and 3D network of CNTs substrate.