Complete characterization of RNA biomarker fingerprints using a multi-modal ATR-FTIR and SERS approach for label-free early breast cancer diagnosis

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Complete characterization of RNA biomarker fingerprints using a multi-modal ATR-FTIR and SERS approach for label-free early breast cancer diagnosis
Title:
Complete characterization of RNA biomarker fingerprints using a multi-modal ATR-FTIR and SERS approach for label-free early breast cancer diagnosis
Journal Title:
RSC Advances
Keywords:
Publication Date:
23 January 2024
Citation:
Zhang, S., Wu, S. Q. Y., Hum, M., Perumal, J., Tan, E. Y., Lee, A. S. G., Teng, J., Dinish, U. S., & Olivo, M. (2024). Complete characterization of RNA biomarker fingerprints using a multi-modal ATR-FTIR and SERS approach for label-free early breast cancer diagnosis. RSC Advances, 14(5), 3599–3610. https://doi.org/10.1039/d3ra05723b
Abstract:
With the multi-modal approach combining ATR-FTIR and SERS, we achieved an extended spectral range for molecular fingerprint detection of RNA biomarkers. Machine learning results shows 91.6% blind test accuracy for label-free breast cancer diagnosis.
License type:
Attribution 4.0 International (CC BY 4.0)
Funding Info:
This research / project is supported by the Agency for Science, Technology and Research, Singapore - IAF-PP
Grant Reference no. : H19H6a0025

This research / project is supported by the National Medical Research Council - Cooperative Basic Research Grant
Grant Reference no. : NMRC/CBRG/0087/2015

This research / project is supported by the BMRC - UIBR Grant
Grant Reference no. : N.A
Description:
NA
ISSN:
2046-2069
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