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Surface Enhanced Raman Spectroscopy for Single Molecule Protein Detection
A two-step process of protein detection at a single molecule level using SERS was developed as a proof-of-concept platform for medical diagnostics. First, a protein molecule was bound to a linker in the bulk solution and then this adduct was chemically reacted with the SERS substrate. Traut’s Reagen...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6710251/ https://www.ncbi.nlm.nih.gov/pubmed/31451702 http://dx.doi.org/10.1038/s41598-019-48650-y |
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author | Almehmadi, Lamyaa M. Curley, Stephanie M. Tokranova, Natalya A. Tenenbaum, Scott A. Lednev, Igor K. |
author_facet | Almehmadi, Lamyaa M. Curley, Stephanie M. Tokranova, Natalya A. Tenenbaum, Scott A. Lednev, Igor K. |
author_sort | Almehmadi, Lamyaa M. |
collection | PubMed |
description | A two-step process of protein detection at a single molecule level using SERS was developed as a proof-of-concept platform for medical diagnostics. First, a protein molecule was bound to a linker in the bulk solution and then this adduct was chemically reacted with the SERS substrate. Traut’s Reagent (TR) was used to thiolate Bovine serum albumin (BSA) in solution followed by chemical cross linking to a gold surface through a sulfhydryl group. A Glycine-TR adduct was used as a control sample to identify the protein contribution to the SER spectra. Gold SERS substrates were manufactured by electrochemical deposition. Solutions at an ultralow concentration were used for attaching the TR adducts to the SERS substrate. Samples showed the typical behavior of a single molecule SERS including spectral fluctuations, blinking and Raman signal being generated from only selected points on the substrate. The fluctuating SER spectra were examined using Principle Component Analysis. This unsupervised statistics allowed for the selecting of spectral contribution from protein moiety indicating that the method was capable of detecting a single protein molecule. Thus we have demonstrated, that the developed two-step methodology has the potential as a new platform for medical diagnostics. |
format | Online Article Text |
id | pubmed-6710251 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-67102512019-09-13 Surface Enhanced Raman Spectroscopy for Single Molecule Protein Detection Almehmadi, Lamyaa M. Curley, Stephanie M. Tokranova, Natalya A. Tenenbaum, Scott A. Lednev, Igor K. Sci Rep Article A two-step process of protein detection at a single molecule level using SERS was developed as a proof-of-concept platform for medical diagnostics. First, a protein molecule was bound to a linker in the bulk solution and then this adduct was chemically reacted with the SERS substrate. Traut’s Reagent (TR) was used to thiolate Bovine serum albumin (BSA) in solution followed by chemical cross linking to a gold surface through a sulfhydryl group. A Glycine-TR adduct was used as a control sample to identify the protein contribution to the SER spectra. Gold SERS substrates were manufactured by electrochemical deposition. Solutions at an ultralow concentration were used for attaching the TR adducts to the SERS substrate. Samples showed the typical behavior of a single molecule SERS including spectral fluctuations, blinking and Raman signal being generated from only selected points on the substrate. The fluctuating SER spectra were examined using Principle Component Analysis. This unsupervised statistics allowed for the selecting of spectral contribution from protein moiety indicating that the method was capable of detecting a single protein molecule. Thus we have demonstrated, that the developed two-step methodology has the potential as a new platform for medical diagnostics. Nature Publishing Group UK 2019-08-26 /pmc/articles/PMC6710251/ /pubmed/31451702 http://dx.doi.org/10.1038/s41598-019-48650-y Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Almehmadi, Lamyaa M. Curley, Stephanie M. Tokranova, Natalya A. Tenenbaum, Scott A. Lednev, Igor K. Surface Enhanced Raman Spectroscopy for Single Molecule Protein Detection |
title | Surface Enhanced Raman Spectroscopy for Single Molecule Protein Detection |
title_full | Surface Enhanced Raman Spectroscopy for Single Molecule Protein Detection |
title_fullStr | Surface Enhanced Raman Spectroscopy for Single Molecule Protein Detection |
title_full_unstemmed | Surface Enhanced Raman Spectroscopy for Single Molecule Protein Detection |
title_short | Surface Enhanced Raman Spectroscopy for Single Molecule Protein Detection |
title_sort | surface enhanced raman spectroscopy for single molecule protein detection |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6710251/ https://www.ncbi.nlm.nih.gov/pubmed/31451702 http://dx.doi.org/10.1038/s41598-019-48650-y |
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