Diagnosis in a Preclinical Model of Bladder Pain Syndrome Using a Au/ZnO Nanorod-based SERS Substrate
AbstractTo evaluate the feasibility of ZnO nanorod-based surface enhanced Raman scattering (SERS) diagnostics for disease models, particularly for interstitial cystitis/bladder pain syndrome (IC/BPS), ZnO-based SERS sensing chips were developed and applied to an animal disease model. ZnO nanorods were grown to form nano-sized porous structures and coated with gold to facilitate size-selective biomarker detection. Raman spectra were acquired on a surface enhanced Raman substrate from the urine in a rat model of IC/BPS and analyzed using a statistical analysis method called principal component analysis (PCA). The nanorods grown after the ZnO seed deposition were 30 to 50 nm in diameter and 500 to 600 nm in length. A volume of gold corresponding to a thin film thickness of 100 nm was deposited on the grown nanorod structure. Raman spectroscopic signals were measured in the scattered region for nanometer biomarker detection to indicate IC/BPS. The Raman peaks for the control group and IC/BPS group are observed at 641, 683, 723, 873, 1002, 1030, and 1355 cm−1, which corresponded to various bonding types and compounds. The PCA results are plotted in 2D and 3D. The Raman signals and statistical analyses obtained from the nano-sized biomarkers of intractable inflammatory diseases demonstrate the possibility of an early diagnosis. View Full-Text
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Lee, S.; Namgoong, J.-M.; Yu, H.Y.; Jue, M.; Kim, G.; Jeon, S.; Shin, D.-M.; Choo, M.-S.; Joo, J.; Pack, C.-G.; Kim, J.K. Diagnosis in a Preclinical Model of Bladder Pain Syndrome Using a Au/ZnO Nanorod-based SERS Substrate. Nanomaterials 2019, 9, 224.
Lee S, Namgoong J-M, Yu HY, Jue M, Kim G, Jeon S, Shin D-M, Choo M-S, Joo J, Pack C-G, Kim JK. Diagnosis in a Preclinical Model of Bladder Pain Syndrome Using a Au/ZnO Nanorod-based SERS Substrate. Nanomaterials. 2019; 9(2):224.Chicago/Turabian Style
Lee, Sanghwa; Namgoong, Jung-Man; Yu, Hwan Y.; Jue, Miyeon; Kim, Gwanho; Jeon, Sangmin; Shin, Dong-Myung; Choo, Myung-Soo; Joo, Jinmyoung; Pack, Chan-Gi; Kim, Jun K. 2019. "Diagnosis in a Preclinical Model of Bladder Pain Syndrome Using a Au/ZnO Nanorod-based SERS Substrate." Nanomaterials 9, no. 2: 224.
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