Next Article in Journal
Shape Memory Polyurethane Biocomposites Based on Toughened Polycaprolactone Promoted by Nano-Chitosan
Previous Article in Journal
Constructing a Z-scheme Heterojunction of Egg-Like [email protected] [email protected]2 Photocatalyst via a Facile Reflux Method for Enhanced Photocatalytic Performance
Previous Article in Special Issue
Magnetite-Supported Gold Nanostars for the Uptake and SERS Detection of Tetracycline
Article Menu

Export Article

Open AccessArticle
Nanomaterials 2019, 9(2), 224; https://doi.org/10.3390/nano9020224

Diagnosis in a Preclinical Model of Bladder Pain Syndrome Using a Au/ZnO Nanorod-based SERS Substrate

1
Biomedical Engineering Research Center, Asan Medical Center, Seoul 05505, Korea
2
Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Korea
3
Department of Urology, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Korea
4
Department of Biomedical Sciences, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Korea
5
Department of Chemical Engineering, Pohang University of Science and Technology, Pohang 37673, Korea
6
Department of Biomedical Engineering, Ulsan National Institute of Science and Technology, Ulsan 44919, Korea
7
Department of Convergence Medicine, University of Ulsan College of Medicine, Seoul 05505, Korea
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Received: 31 December 2018 / Revised: 30 January 2019 / Accepted: 5 February 2019 / Published: 7 February 2019
(This article belongs to the Special Issue Raman Imaging Methods for Nanomaterials and Bioapplications)
Full-Text   |   PDF [2298 KB, uploaded 7 February 2019]   |  

Abstract

To 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
Keywords: interstitial cystitis/bladder pain syndrome (IC/BPS); ZnO nanorods; surface enhancement Raman spectroscopy (SERS); principal component analysis (PCA) interstitial cystitis/bladder pain syndrome (IC/BPS); ZnO nanorods; surface enhancement Raman spectroscopy (SERS); principal component analysis (PCA)
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

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.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Nanomaterials EISSN 2079-4991 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top