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Selective Detection of Nano-Sized Diagnostic Markers Using Au-ZnO Nanorod-Based Surface-Enhanced Raman Spectroscopy (SERS) in Ureteral Obstruction Models

Authors Lee S, Namgoong JM, Jue M, Joung Y, Ryu CM, Shin DM, Choo MS, Kim JK

Received 16 July 2020

Accepted for publication 1 October 2020

Published 22 October 2020 Volume 2020:15 Pages 8121—8130

DOI https://doi.org/10.2147/IJN.S272500

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Prof. Dr. Thomas J. Webster


Sanghwa Lee,1,* Jung-Man Namgoong,2,* Miyeon Jue,1 Yujin Joung,1 Chae-Min Ryu,3,4 Dong-Myung Shin,4 Myung-Soo Choo,3 Jun Ki Kim1,5

1Biomedical Engineering Research Center, Asan Medical Center, Seoul 05505, Republic of Korea; 2Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Republic of Korea; 3Department of Urology, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Republic of Korea; 4Department of Biomedical Sciences, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Republic of Korea; 5Department of Convergence Medicine, University of Ulsan College of Medicine, Seoul 05505, Republic of Korea

*These authors contributed equally to this work

Correspondence: Jun Ki Kim Email kim@amc.seoul.kr

Background: This study investigated the diagnosis of renal diseases using a biochip capable of detecting nano-sized biomarkers. Raman measurements from a kidney injury model were taken, and the feasibility of early diagnosis was assessed.
Materials and Methods: Rat models with mild and severe unilateral ureteral obstructions were created, with the injury to the kidney varying according to the tightness of the stricture. After generating the animal ureteral obstruction models, urine was collected from the kidney and bladder.
Results and Discussion: After confirming the presence of renal injury, urine drops were placed onto a Raman chip whose surface had been enhanced with Au-ZnO nanorods, allowing nano-sized biomarkers that diffused into the nanogaps to be selectively amplified. The Raman signals varied according to the severity of the renal damage, and these differences were statistically confirmed.
Conclusion: These results confirm that ureteral stricture causes kidney injury and that signals in the urine from the release of nano-biomarkers can be monitored using surface-enhanced Raman spectroscopy.

Keywords: ureteral obstruction, renal injury, nano-sized biomarker, ZnO nanorods, surface-enhanced Raman spectroscopy, principal component analysis

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