Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/174580
Title: Label-free detection of MiRNA biomarkers using broadband multi-resonant infrared metasurfaces for early breast cancer diagnosis
Authors: Zhang, Shuyan
Wu, Steve Qing Yang
Chen, Yi Fan
Hum, Melissa
Wong, Dave Chi Lok
Tan, Ern Yu
Lee, Ann Siew Gek
Teng, Jinghua
Dinish, Unnimadhavakurup S.
Olivo, Malini
Keywords: Medicine, Health and Life Sciences
Issue Date: 2023
Source: Zhang, S., Wu, S. Q. Y., Chen, Y. F., Hum, M., Wong, D. C. L., Tan, E. Y., Lee, A. S. G., Teng, J., Dinish, U. S. & Olivo, M. (2023). Label-free detection of MiRNA biomarkers using broadband multi-resonant infrared metasurfaces for early breast cancer diagnosis. Nanoscale, 15(23), 10057-10066. https://dx.doi.org/10.1039/d3nr01369c
Project: H19H6a0025 
BMRC UIBR 
NMRC/CBRG/0087/2015 
Journal: Nanoscale 
Abstract: Breast cancer is the most prevalent cancer globally. Early detection is crucial and can be achieved by detecting cancer biomarkers in blood, such as circulating miRNAs (microRNAs). In this study, we present a label-free detection method based on broadband multi-resonant infrared metasurface for surface-enhanced infrared absorption (SEIRA) spectroscopy to detect miRNAs. The SEIRA resonances were optimized to match the miRNA biomarker fingerprint regions in the range of 800 to 2000 cm-1 and 2800 to 3500 cm-1, resulting in a simulated resonance enhancement of up to 103 times. Nine patient samples (six cancerous and three non-cancerous) were measured using SEIRA multi-well sensor chips. A novel analysis method, SEIRA-AR, was also developed to benchmark the results against industry standards, such as quantitative reverse transcription polymerase chain reaction (RT-qPCR) and next-generation sequencing (NGS). Our results showed an excellent linear correlation with a Pearson's r value of up to 0.99 and an R Squared value of up to 0.98. This study represents the first use of a SEIRA sensor for biomarker detection on clinical breast cancer samples and introduces an analysis method that produces results comparable to industry standards. Our findings pave the way for routine cancer diagnosis in the future. Additionally, the method discussed can be generalized to other biosensing activities involving two-step binding processes with complementary molecule-capturing agents.
URI: https://hdl.handle.net/10356/174580
ISSN: 2040-3364
DOI: 10.1039/d3nr01369c
Schools: Lee Kong Chian School of Medicine (LKCMedicine) 
Organisations: Tan Tock Seng Hospital 
Rights: © The Authors. This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:LKCMedicine Journal Articles

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