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Selective Detection of Nitroexplosives Using Molecular Recognition within Self-Assembled Plasmonic Nanojunctions
[Image: see text] We demonstrate that the reproducibility of sensors for nitroaromatics based on surface-enhanced Raman spectroscopy (SERS) can be significantly improved via a hierarchical aqueous self-assembly approach mediated by the multifunctional macrocyclic molecule cucurbit[7]uril (CB[7]). Ou...
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/PMC6614880/ https://www.ncbi.nlm.nih.gov/pubmed/31303905 http://dx.doi.org/10.1021/acs.jpcc.9b02363 |
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author | Chio, Weng-I Katherine Peveler, William J. Assaf, Khaleel I. Moorthy, Suresh Nau, Werner M. Parkin, Ivan P. Olivo, Malini Lee, Tung-Chun |
author_facet | Chio, Weng-I Katherine Peveler, William J. Assaf, Khaleel I. Moorthy, Suresh Nau, Werner M. Parkin, Ivan P. Olivo, Malini Lee, Tung-Chun |
author_sort | Chio, Weng-I Katherine |
collection | PubMed |
description | [Image: see text] We demonstrate that the reproducibility of sensors for nitroaromatics based on surface-enhanced Raman spectroscopy (SERS) can be significantly improved via a hierarchical aqueous self-assembly approach mediated by the multifunctional macrocyclic molecule cucurbit[7]uril (CB[7]). Our approach is enabled by the novel host–guest complexation between CB[7] and an explosive marker 2,4-dinitrotoluene (DNT). Binding studies are performed using experimental and computation techniques to quantify key binding parameters for the first time. This supramolecular complexation allows DNT to be positioned in close proximity to the plasmonic hotspots within aggregates of CB[7] and gold nanoparticles, resulting in significant SERS signals with a detection limit of ∼1 μM. The supramolecular ensemble is selective against a structurally similar nitroaromatics owing to the molecular-recognition nature of the complexation as well as tolerant against the presence of model organic contaminants that bind strongly to the SERS substrates. |
format | Online Article Text |
id | pubmed-6614880 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | American Chemical
Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-66148802019-07-10 Selective Detection of Nitroexplosives Using Molecular Recognition within Self-Assembled Plasmonic Nanojunctions Chio, Weng-I Katherine Peveler, William J. Assaf, Khaleel I. Moorthy, Suresh Nau, Werner M. Parkin, Ivan P. Olivo, Malini Lee, Tung-Chun J Phys Chem C Nanomater Interfaces [Image: see text] We demonstrate that the reproducibility of sensors for nitroaromatics based on surface-enhanced Raman spectroscopy (SERS) can be significantly improved via a hierarchical aqueous self-assembly approach mediated by the multifunctional macrocyclic molecule cucurbit[7]uril (CB[7]). Our approach is enabled by the novel host–guest complexation between CB[7] and an explosive marker 2,4-dinitrotoluene (DNT). Binding studies are performed using experimental and computation techniques to quantify key binding parameters for the first time. This supramolecular complexation allows DNT to be positioned in close proximity to the plasmonic hotspots within aggregates of CB[7] and gold nanoparticles, resulting in significant SERS signals with a detection limit of ∼1 μM. The supramolecular ensemble is selective against a structurally similar nitroaromatics owing to the molecular-recognition nature of the complexation as well as tolerant against the presence of model organic contaminants that bind strongly to the SERS substrates. American Chemical Society 2019-04-23 2019-06-27 /pmc/articles/PMC6614880/ /pubmed/31303905 http://dx.doi.org/10.1021/acs.jpcc.9b02363 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 | Chio, Weng-I Katherine Peveler, William J. Assaf, Khaleel I. Moorthy, Suresh Nau, Werner M. Parkin, Ivan P. Olivo, Malini Lee, Tung-Chun Selective Detection of Nitroexplosives Using Molecular Recognition within Self-Assembled Plasmonic Nanojunctions |
title | Selective Detection of Nitroexplosives Using Molecular
Recognition within Self-Assembled Plasmonic Nanojunctions |
title_full | Selective Detection of Nitroexplosives Using Molecular
Recognition within Self-Assembled Plasmonic Nanojunctions |
title_fullStr | Selective Detection of Nitroexplosives Using Molecular
Recognition within Self-Assembled Plasmonic Nanojunctions |
title_full_unstemmed | Selective Detection of Nitroexplosives Using Molecular
Recognition within Self-Assembled Plasmonic Nanojunctions |
title_short | Selective Detection of Nitroexplosives Using Molecular
Recognition within Self-Assembled Plasmonic Nanojunctions |
title_sort | selective detection of nitroexplosives using molecular
recognition within self-assembled plasmonic nanojunctions |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6614880/ https://www.ncbi.nlm.nih.gov/pubmed/31303905 http://dx.doi.org/10.1021/acs.jpcc.9b02363 |
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