Multiplex surface-enhanced Raman scattering identification and quantification of urine metabolites in patient samples within 30 min

Multiplex surface-enhanced Raman scattering identification and quantification of urine metabolites in patient samples within 30 min

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 sec...

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Bibliographic Details
Main 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
Other Authors: School of Physical and Mathematical Sciences
Format: Article
Language:English
Published: 2020
Subjects:
Science::Physics
Surface-enhanced Raman Spectroscopy (SERS)
Superhydrophobic SERS Platform
Online Access:https://hdl.handle.net/10356/143412
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Institution: Nanyang Technological University
Language: English
Description
Summary: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.

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