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Thin silica shell coated Ag assembled nanostructures for expanding generality of SERS analytes
Surface-enhanced Raman scattering (SERS) provides a unique non-destructive spectroscopic fingerprint for chemical detection. However, intrinsic differences in affinity of analyte molecules to metal surface hinder SERS as a universal quantitative detection tool for various analyte molecules simultane...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5453564/ https://www.ncbi.nlm.nih.gov/pubmed/28570633 http://dx.doi.org/10.1371/journal.pone.0178651 |
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author | Cha, Myeong Geun Kim, Hyung-Mo Kang, Yoo-Lee Lee, Minwoo Kang, Homan Kim, Jaehi Pham, Xuan-Hung Kim, Tae Han Hahm, Eunil Lee, Yoon-Sik Jeong, Dae Hong Jun, Bong-Hyun |
author_facet | Cha, Myeong Geun Kim, Hyung-Mo Kang, Yoo-Lee Lee, Minwoo Kang, Homan Kim, Jaehi Pham, Xuan-Hung Kim, Tae Han Hahm, Eunil Lee, Yoon-Sik Jeong, Dae Hong Jun, Bong-Hyun |
author_sort | Cha, Myeong Geun |
collection | PubMed |
description | Surface-enhanced Raman scattering (SERS) provides a unique non-destructive spectroscopic fingerprint for chemical detection. However, intrinsic differences in affinity of analyte molecules to metal surface hinder SERS as a universal quantitative detection tool for various analyte molecules simultaneously. This must be overcome while keeping close proximity of analyte molecules to the metal surface. Moreover, assembled metal nanoparticles (NPs) structures might be beneficial for sensitive and reliable detection of chemicals than single NP structures. For this purpose, here we introduce thin silica-coated and assembled Ag NPs (SiO(2)@Ag@SiO(2) NPs) for simultaneous and quantitative detection of chemicals that have different intrinsic affinities to silver metal. These SiO(2)@Ag@SiO(2) NPs could detect each SERS peak of aniline or 4-aminothiophenol (4-ATP) from the mixture with limits of detection (LOD) of 93 ppm and 54 ppb, respectively. E-field distribution based on interparticle distance was simulated using discrete dipole approximation (DDA) calculation to gain insight into enhanced scattering of these thin silica coated Ag NP assemblies. These NPs were successfully applied to detect aniline in river water and tap water. Results suggest that SiO(2)@Ag@SiO(2) NP-based SERS detection systems can be used as a simple and universal detection tool for environment pollutants and food safety. |
format | Online Article Text |
id | pubmed-5453564 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-54535642017-06-12 Thin silica shell coated Ag assembled nanostructures for expanding generality of SERS analytes Cha, Myeong Geun Kim, Hyung-Mo Kang, Yoo-Lee Lee, Minwoo Kang, Homan Kim, Jaehi Pham, Xuan-Hung Kim, Tae Han Hahm, Eunil Lee, Yoon-Sik Jeong, Dae Hong Jun, Bong-Hyun PLoS One Research Article Surface-enhanced Raman scattering (SERS) provides a unique non-destructive spectroscopic fingerprint for chemical detection. However, intrinsic differences in affinity of analyte molecules to metal surface hinder SERS as a universal quantitative detection tool for various analyte molecules simultaneously. This must be overcome while keeping close proximity of analyte molecules to the metal surface. Moreover, assembled metal nanoparticles (NPs) structures might be beneficial for sensitive and reliable detection of chemicals than single NP structures. For this purpose, here we introduce thin silica-coated and assembled Ag NPs (SiO(2)@Ag@SiO(2) NPs) for simultaneous and quantitative detection of chemicals that have different intrinsic affinities to silver metal. These SiO(2)@Ag@SiO(2) NPs could detect each SERS peak of aniline or 4-aminothiophenol (4-ATP) from the mixture with limits of detection (LOD) of 93 ppm and 54 ppb, respectively. E-field distribution based on interparticle distance was simulated using discrete dipole approximation (DDA) calculation to gain insight into enhanced scattering of these thin silica coated Ag NP assemblies. These NPs were successfully applied to detect aniline in river water and tap water. Results suggest that SiO(2)@Ag@SiO(2) NP-based SERS detection systems can be used as a simple and universal detection tool for environment pollutants and food safety. Public Library of Science 2017-06-01 /pmc/articles/PMC5453564/ /pubmed/28570633 http://dx.doi.org/10.1371/journal.pone.0178651 Text en © 2017 Cha et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Cha, Myeong Geun Kim, Hyung-Mo Kang, Yoo-Lee Lee, Minwoo Kang, Homan Kim, Jaehi Pham, Xuan-Hung Kim, Tae Han Hahm, Eunil Lee, Yoon-Sik Jeong, Dae Hong Jun, Bong-Hyun Thin silica shell coated Ag assembled nanostructures for expanding generality of SERS analytes |
title | Thin silica shell coated Ag assembled nanostructures for expanding generality of SERS analytes |
title_full | Thin silica shell coated Ag assembled nanostructures for expanding generality of SERS analytes |
title_fullStr | Thin silica shell coated Ag assembled nanostructures for expanding generality of SERS analytes |
title_full_unstemmed | Thin silica shell coated Ag assembled nanostructures for expanding generality of SERS analytes |
title_short | Thin silica shell coated Ag assembled nanostructures for expanding generality of SERS analytes |
title_sort | thin silica shell coated ag assembled nanostructures for expanding generality of sers analytes |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5453564/ https://www.ncbi.nlm.nih.gov/pubmed/28570633 http://dx.doi.org/10.1371/journal.pone.0178651 |
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