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...
| Main Authors: | , , , , , , , , , , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2020
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/143412 |
| _version_ | 1811689209361072128 |
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| author | 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 |
| author2 | School of Physical and Mathematical Sciences |
| author_facet | School of Physical and Mathematical Sciences 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 |
| author_sort | Kao, Ya-Chuan |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T05:44:28Z |
| format | Journal Article |
| id | ntu-10356/143412 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:44:28Z |
| publishDate | 2020 |
| record_format | dspace |
| spelling | ntu-10356/1434122023-02-28T19:39:29Z Multiplex surface-enhanced Raman scattering identification and quantification of urine metabolites in patient samples within 30 min 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 School of Physical and Mathematical Sciences Institute of Materials Research and Engineering, A*STAR Science::Physics Surface-enhanced Raman Spectroscopy (SERS) Superhydrophobic SERS Platform 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. 2020-08-31T04:53:00Z 2020-08-31T04:53:00Z 2020 Journal Article 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 1936-0851 https://hdl.handle.net/10356/143412 10.1021/acsnano.0c00515 32049493 2-s2.0-85080966758 2 14 2542 2552 en ACS Nano 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 application/pdf |
| spellingShingle | Science::Physics Surface-enhanced Raman Spectroscopy (SERS) Superhydrophobic SERS Platform 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 Multiplex surface-enhanced Raman scattering identification and quantification of urine metabolites in patient samples within 30 min |
| title | Multiplex surface-enhanced Raman scattering identification and quantification of urine metabolites in patient samples within 30 min |
| title_full | Multiplex surface-enhanced Raman scattering identification and quantification of urine metabolites in patient samples within 30 min |
| title_fullStr | Multiplex surface-enhanced Raman scattering identification and quantification of urine metabolites in patient samples within 30 min |
| title_full_unstemmed | Multiplex surface-enhanced Raman scattering identification and quantification of urine metabolites in patient samples within 30 min |
| title_short | Multiplex surface-enhanced Raman scattering identification and quantification of urine metabolites in patient samples within 30 min |
| title_sort | multiplex surface enhanced raman scattering identification and quantification of urine metabolites in patient samples within 30 min |
| topic | Science::Physics Surface-enhanced Raman Spectroscopy (SERS) Superhydrophobic SERS Platform |
| url | https://hdl.handle.net/10356/143412 |
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