Multiplex surface-enhanced Raman scattering identification and quantification of urine metabolites in patient samples within 30 min
| Autor: | Hiang Kwee Lee, Ya-Chuan Kao, Xing Yi Ling, In Yee Phang, Vanessa Jing Xin Phua, Nguan Soon Tan, Li Shiuan Ng, Xuemei Han, Gia Chuong Phan-Quang, Chee Wai Ku, Howard Yi Fan Sim, Thiam Chye Tan, Yih Hong Lee, Chee Leng Lay |
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| Přispěvatelé: | School of Physical and Mathematical Sciences, Institute of Materials Research and Engineering, A*STAR |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Time Factors
Surface Properties Metabolite General Physics and Astronomy 02 engineering and technology Urine 010402 general chemistry Spectrum Analysis Raman 01 natural sciences Chemometrics Matrix (chemical analysis) chemistry.chemical_compound symbols.namesake Metabolomics Pregnancy Physics [Science] Humans General Materials Science Multiplex Particle Size Density Functional Theory Chromatography Molecular Structure General Engineering 021001 nanoscience & nanotechnology 0104 chemical sciences Biomarker (cell) chemistry Surface-enhanced Raman Spectroscopy (SERS) Tetrahydrocortisone Calibration symbols Pregnanediol Female Superhydrophobic SERS Platform 0210 nano-technology Raman scattering |
| Popis: | 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. Agency for Science, Technology and Research (A*STAR) Ministry of Education (MOE) Ministry of Health (MOH) Nanyang Technological University Accepted version X.Y.L. thanks the financial support from Singapore Ministry of Education, Tier 1 (RG11/18) and Tier 2 (MOE2016-T2-1-043) grants, and Max Planck Institute-Nanyang Technological University Joint Lab. C.W.K., T.C.T., and N.S.T. are thankful for the financial support from the Ministry of Health Singapore Industry Alignment Fund grant (MOHIAFCat1-11010). Y.C.K. and C.L.L. are thankful for scholarship support from A*STAR, Singapore. G.C.P.-Q. acknowledges scholarship support from Nanyang Technological University, Singapore. We wish to thank all the families who participated in our research. |
| Databáze: | OpenAIRE |
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