Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/143412
Title: Multiplex surface-enhanced Raman scattering identification and quantification of urine metabolites in patient samples within 30 min
Authors: Kao, Ya-Chuan
Han, Xuemei
Lee, Yih Hong
Lee, Hiang Kwee
Phan-Quang, Gia Chuong
Lay, Chee Leng
Sim, Howard Yi Fan
Phua, Vanessa Jing Xin
Ng, Li Shiuan
Ku, Chee Wai
Tan, Thiam Chye
Phang, In Yee
Tan, Nguan Soon
Ling, Xing Yi
Keywords: Science::Physics
Issue Date: 2020
Source: Kao, Y.-C., Han, X., Lee, Y. H., Lee, H. K., Phan-Quang, G. C., Lay, C. L., ... Ling, X. Y. (2020). Multiplex surface-enhanced Raman scattering identification and quantification of urine metabolites in patient samples within 30 min. ACS Nano, 14(2), 2542-2552. doi:10.1021/acsnano.0c00515
Journal: ACS Nano
Abstract: Successful translation of laboratory-based surface-enhanced Raman scattering (SERS) platforms to clinical applications requires multiplex and ultratrace detection of small biomarker molecules from a complex biofluid. However, these biomarker molecules generally exhibit low Raman scattering cross sections and do not possess specific affinity to plasmonic nanoparticle surfaces, significantly increasing the challenge of detecting them at low concentrations. Herein, we demonstrate a "confine-and-capture" approach for multiplex detection of two families of urine metabolites correlated with miscarriage risks, 5β-pregnane-3α,20α-diol-3α-glucuronide and tetrahydrocortisone. To enhance SERS signals by 1012-fold, we use specific nanoscale surface chemistry for targeted metabolite capture from a complex urine matrix prior to confining them on a superhydrophobic SERS platform. We then apply chemometrics, including principal component analysis and partial least-squares regression, to convert molecular fingerprint information into quantifiable readouts. The whole screening procedure requires only 30 min, including urine pretreatment, sample drying on the SERS platform, SERS measurements, and chemometric analyses. These readouts correlate well with the pregnancy outcomes in a case-control study of 40 patients presenting threatened miscarriage symptoms.
URI: https://hdl.handle.net/10356/143412
ISSN: 1936-0851
DOI: 10.1021/acsnano.0c00515
Rights: This document is the Accepted Manuscript version of a Published Work that appeared in final form in ACS Nano, copyright © American Chemical Society after peer review and technical editing by the publisher. To access the final edited and published work see https://doi.org/10.1021/acsnano.0c00515
Fulltext Permission: embargo_20210303
Fulltext Availability: With Fulltext
Appears in Collections:SPMS Journal Articles

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