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Mixed-Dimensional Heterostructure Material-Based SERS for Trace Level Identification of Breast Cancer-Derived Exosomes
[Image: see text] Raman spectroscopy has capability for fingerprint molecular identification with high sensitivity if weak Raman scattering signal can be enhanced by several orders of magnitudes. Herein, we report a heterostructure-based surface-enhanced Raman spectroscopy (SERS) platform using 2D g...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7364584/ https://www.ncbi.nlm.nih.gov/pubmed/32685826 http://dx.doi.org/10.1021/acsomega.0c01441 |
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author | Pramanik, Avijit Mayer, Justin Patibandla, Shamily Gates, Kaelin Gao, Ye Davis, Dalephine Seshadri, Ram Ray, Paresh Chandra |
author_facet | Pramanik, Avijit Mayer, Justin Patibandla, Shamily Gates, Kaelin Gao, Ye Davis, Dalephine Seshadri, Ram Ray, Paresh Chandra |
author_sort | Pramanik, Avijit |
collection | PubMed |
description | [Image: see text] Raman spectroscopy has capability for fingerprint molecular identification with high sensitivity if weak Raman scattering signal can be enhanced by several orders of magnitudes. Herein, we report a heterostructure-based surface-enhanced Raman spectroscopy (SERS) platform using 2D graphene oxide (GO) and 0D plasmonic gold nanostar (GNS), with capability of Raman enhancement factor (EF) in the range of ∼10(10) via light–matter and matter–matter interactions. The current manuscript reveals huge Raman enhancement for heterostructure materials occurring via both electromagnetic enhancement mechanism though plasmonic GNS nanoparticle (EF ∼10(7)) and chemical enhancement mechanism through 2D-GO material (EF ∼10(2)). Finite-difference time-domain (FDTD) simulation data and experimental investigation indicate that GNS allows light to be concentrated into nanoscale “hotspots” formed on the heterostructure surface, which significantly enhanced Raman efficiency via a plasmon–exciton light coupling process. Notably, we have shown that mixed-dimensional heterostructure-based SERS can be used for tracking of cancer-derived exosomes from triple-negative breast cancer and HER2(+) breast cancer with a limit of detection (LOD) of 3.8 × 10(2) exosomes/mL for TNBC-derived exosomes and 4.4 × 10(2) exosomes/mL for HER2(+) breast cancer-derived exosomes. |
format | Online Article Text |
id | pubmed-7364584 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-73645842020-07-17 Mixed-Dimensional Heterostructure Material-Based SERS for Trace Level Identification of Breast Cancer-Derived Exosomes Pramanik, Avijit Mayer, Justin Patibandla, Shamily Gates, Kaelin Gao, Ye Davis, Dalephine Seshadri, Ram Ray, Paresh Chandra ACS Omega [Image: see text] Raman spectroscopy has capability for fingerprint molecular identification with high sensitivity if weak Raman scattering signal can be enhanced by several orders of magnitudes. Herein, we report a heterostructure-based surface-enhanced Raman spectroscopy (SERS) platform using 2D graphene oxide (GO) and 0D plasmonic gold nanostar (GNS), with capability of Raman enhancement factor (EF) in the range of ∼10(10) via light–matter and matter–matter interactions. The current manuscript reveals huge Raman enhancement for heterostructure materials occurring via both electromagnetic enhancement mechanism though plasmonic GNS nanoparticle (EF ∼10(7)) and chemical enhancement mechanism through 2D-GO material (EF ∼10(2)). Finite-difference time-domain (FDTD) simulation data and experimental investigation indicate that GNS allows light to be concentrated into nanoscale “hotspots” formed on the heterostructure surface, which significantly enhanced Raman efficiency via a plasmon–exciton light coupling process. Notably, we have shown that mixed-dimensional heterostructure-based SERS can be used for tracking of cancer-derived exosomes from triple-negative breast cancer and HER2(+) breast cancer with a limit of detection (LOD) of 3.8 × 10(2) exosomes/mL for TNBC-derived exosomes and 4.4 × 10(2) exosomes/mL for HER2(+) breast cancer-derived exosomes. American Chemical Society 2020-07-01 /pmc/articles/PMC7364584/ /pubmed/32685826 http://dx.doi.org/10.1021/acsomega.0c01441 Text en Copyright © 2020 American Chemical Society This is an open access article published under an ACS AuthorChoice License (http://pubs.acs.org/page/policy/authorchoice_termsofuse.html) , which permits copying and redistribution of the article or any adaptations for non-commercial purposes. |
spellingShingle | Pramanik, Avijit Mayer, Justin Patibandla, Shamily Gates, Kaelin Gao, Ye Davis, Dalephine Seshadri, Ram Ray, Paresh Chandra Mixed-Dimensional Heterostructure Material-Based SERS for Trace Level Identification of Breast Cancer-Derived Exosomes |
title | Mixed-Dimensional Heterostructure Material-Based SERS
for Trace Level Identification of Breast Cancer-Derived Exosomes |
title_full | Mixed-Dimensional Heterostructure Material-Based SERS
for Trace Level Identification of Breast Cancer-Derived Exosomes |
title_fullStr | Mixed-Dimensional Heterostructure Material-Based SERS
for Trace Level Identification of Breast Cancer-Derived Exosomes |
title_full_unstemmed | Mixed-Dimensional Heterostructure Material-Based SERS
for Trace Level Identification of Breast Cancer-Derived Exosomes |
title_short | Mixed-Dimensional Heterostructure Material-Based SERS
for Trace Level Identification of Breast Cancer-Derived Exosomes |
title_sort | mixed-dimensional heterostructure material-based sers
for trace level identification of breast cancer-derived exosomes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7364584/ https://www.ncbi.nlm.nih.gov/pubmed/32685826 http://dx.doi.org/10.1021/acsomega.0c01441 |
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