Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Pramanik, Avijit, Mayer, Justin, Patibandla, Shamily, Gates, Kaelin, Gao, Ye, Davis, Dalephine, Seshadri, Ram, Ray, Paresh Chandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2020
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
_version_ 1783559859331923968
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
work_keys_str_mv AT pramanikavijit mixeddimensionalheterostructurematerialbasedsersfortracelevelidentificationofbreastcancerderivedexosomes
AT mayerjustin mixeddimensionalheterostructurematerialbasedsersfortracelevelidentificationofbreastcancerderivedexosomes
AT patibandlashamily mixeddimensionalheterostructurematerialbasedsersfortracelevelidentificationofbreastcancerderivedexosomes
AT gateskaelin mixeddimensionalheterostructurematerialbasedsersfortracelevelidentificationofbreastcancerderivedexosomes
AT gaoye mixeddimensionalheterostructurematerialbasedsersfortracelevelidentificationofbreastcancerderivedexosomes
AT davisdalephine mixeddimensionalheterostructurematerialbasedsersfortracelevelidentificationofbreastcancerderivedexosomes
AT seshadriram mixeddimensionalheterostructurematerialbasedsersfortracelevelidentificationofbreastcancerderivedexosomes
AT raypareshchandra mixeddimensionalheterostructurematerialbasedsersfortracelevelidentificationofbreastcancerderivedexosomes