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Inhibiting Analyte Theft in Surface-Enhanced Raman Spectroscopy Substrates: Subnanomolar Quantitative Drug Detection
[Image: see text] Quantitative applications of surface-enhanced Raman spectroscopy (SERS) often rely on surface partition layers grafted to SERS substrates to collect and trap-solvated analytes that would not otherwise adsorb onto metals. Such binding layers drastically broaden the scope of analytes...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6878213/ https://www.ncbi.nlm.nih.gov/pubmed/31565921 http://dx.doi.org/10.1021/acssensors.9b01484 |
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author | de Nijs, Bart Carnegie, Cloudy Szabó, István Grys, David-Benjamin Chikkaraddy, Rohit Kamp, Marlous Barrow, Steven J. Readman, Charlie A. Kleemann, Marie-Elena Scherman, Oren A. Rosta, Edina Baumberg, Jeremy J. |
author_facet | de Nijs, Bart Carnegie, Cloudy Szabó, István Grys, David-Benjamin Chikkaraddy, Rohit Kamp, Marlous Barrow, Steven J. Readman, Charlie A. Kleemann, Marie-Elena Scherman, Oren A. Rosta, Edina Baumberg, Jeremy J. |
author_sort | de Nijs, Bart |
collection | PubMed |
description | [Image: see text] Quantitative applications of surface-enhanced Raman spectroscopy (SERS) often rely on surface partition layers grafted to SERS substrates to collect and trap-solvated analytes that would not otherwise adsorb onto metals. Such binding layers drastically broaden the scope of analytes that can be probed. However, excess binding sites introduced by this partition layer also trap analytes outside the plasmonic “hotspots”. We show that by eliminating these binding sites, limits of detection (LODs) can effectively be lowered by more than an order of magnitude. We highlight the effectiveness of this approach by demonstrating quantitative detection of controlled drugs down to subnanomolar concentrations in aqueous media. Such LODs are low enough to screen, for example, urine at clinically relevant levels. These findings provide unique insights into the binding behavior of analytes, which are essential when designing high-performance SERS substrates. |
format | Online Article Text |
id | pubmed-6878213 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-68782132019-11-27 Inhibiting Analyte Theft in Surface-Enhanced Raman Spectroscopy Substrates: Subnanomolar Quantitative Drug Detection de Nijs, Bart Carnegie, Cloudy Szabó, István Grys, David-Benjamin Chikkaraddy, Rohit Kamp, Marlous Barrow, Steven J. Readman, Charlie A. Kleemann, Marie-Elena Scherman, Oren A. Rosta, Edina Baumberg, Jeremy J. ACS Sens [Image: see text] Quantitative applications of surface-enhanced Raman spectroscopy (SERS) often rely on surface partition layers grafted to SERS substrates to collect and trap-solvated analytes that would not otherwise adsorb onto metals. Such binding layers drastically broaden the scope of analytes that can be probed. However, excess binding sites introduced by this partition layer also trap analytes outside the plasmonic “hotspots”. We show that by eliminating these binding sites, limits of detection (LODs) can effectively be lowered by more than an order of magnitude. We highlight the effectiveness of this approach by demonstrating quantitative detection of controlled drugs down to subnanomolar concentrations in aqueous media. Such LODs are low enough to screen, for example, urine at clinically relevant levels. These findings provide unique insights into the binding behavior of analytes, which are essential when designing high-performance SERS substrates. American Chemical Society 2019-09-30 2019-11-22 /pmc/articles/PMC6878213/ /pubmed/31565921 http://dx.doi.org/10.1021/acssensors.9b01484 Text en Copyright © 2019 American Chemical Society This is an open access article published under a Creative Commons Attribution (CC-BY) License (http://pubs.acs.org/page/policy/authorchoice_ccby_termsofuse.html) , which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited. |
spellingShingle | de Nijs, Bart Carnegie, Cloudy Szabó, István Grys, David-Benjamin Chikkaraddy, Rohit Kamp, Marlous Barrow, Steven J. Readman, Charlie A. Kleemann, Marie-Elena Scherman, Oren A. Rosta, Edina Baumberg, Jeremy J. Inhibiting Analyte Theft in Surface-Enhanced Raman Spectroscopy Substrates: Subnanomolar Quantitative Drug Detection |
title | Inhibiting Analyte Theft in Surface-Enhanced Raman
Spectroscopy Substrates: Subnanomolar Quantitative Drug Detection |
title_full | Inhibiting Analyte Theft in Surface-Enhanced Raman
Spectroscopy Substrates: Subnanomolar Quantitative Drug Detection |
title_fullStr | Inhibiting Analyte Theft in Surface-Enhanced Raman
Spectroscopy Substrates: Subnanomolar Quantitative Drug Detection |
title_full_unstemmed | Inhibiting Analyte Theft in Surface-Enhanced Raman
Spectroscopy Substrates: Subnanomolar Quantitative Drug Detection |
title_short | Inhibiting Analyte Theft in Surface-Enhanced Raman
Spectroscopy Substrates: Subnanomolar Quantitative Drug Detection |
title_sort | inhibiting analyte theft in surface-enhanced raman
spectroscopy substrates: subnanomolar quantitative drug detection |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6878213/ https://www.ncbi.nlm.nih.gov/pubmed/31565921 http://dx.doi.org/10.1021/acssensors.9b01484 |
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