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A Robust and General Approach to Quantitatively Conjugate Enzymes to Plasmonic Nanoparticles
[Image: see text] Bioconjugates of plasmonic nanoparticles have received considerable attention due to their potential biomedical applications. Successful bioconjugation requires control over the number and activity of the conjugated proteins and the colloidal stability of the particles. In practice...
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/PMC6798157/ https://www.ncbi.nlm.nih.gov/pubmed/31545896 http://dx.doi.org/10.1021/acs.langmuir.9b01879 |
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author | Wang, Yuyang van Asdonk, Karsten Zijlstra, Peter |
author_facet | Wang, Yuyang van Asdonk, Karsten Zijlstra, Peter |
author_sort | Wang, Yuyang |
collection | PubMed |
description | [Image: see text] Bioconjugates of plasmonic nanoparticles have received considerable attention due to their potential biomedical applications. Successful bioconjugation requires control over the number and activity of the conjugated proteins and the colloidal stability of the particles. In practice, this requires reoptimization of the conjugation protocol for each combination of protein and nanoparticle. Here, we report a robust and general protocol that allows for the conjugation of a range of proteins to different types of nanoparticles using very short polyethylene-glycol(PEG) linkers, while simultaneously preserving protein activity and colloidal stability. The use of short linkers ensures that the protein is located close to the particle surface, where the refractive index sensitivity and near-field enhancement are maximal. We demonstrate that the use of a Tween20 containing stabilizing buffer is critical in maintaining colloidal stability and protein function throughout the protocol. We obtain quantitative control over the average number of enzymes per particle by either varying the number of functional groups on the particle or the enzyme concentration during incubation. This new route of preparing quantitative protein-nanoparticle bioconjugates paves the way to develop rational and quantitative strategies to functionalize nanoparticles for applications in sensing, medical diagnostics, and drug delivery. |
format | Online Article Text |
id | pubmed-6798157 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | American
Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-67981572019-10-23 A Robust and General Approach to Quantitatively Conjugate Enzymes to Plasmonic Nanoparticles Wang, Yuyang van Asdonk, Karsten Zijlstra, Peter Langmuir [Image: see text] Bioconjugates of plasmonic nanoparticles have received considerable attention due to their potential biomedical applications. Successful bioconjugation requires control over the number and activity of the conjugated proteins and the colloidal stability of the particles. In practice, this requires reoptimization of the conjugation protocol for each combination of protein and nanoparticle. Here, we report a robust and general protocol that allows for the conjugation of a range of proteins to different types of nanoparticles using very short polyethylene-glycol(PEG) linkers, while simultaneously preserving protein activity and colloidal stability. The use of short linkers ensures that the protein is located close to the particle surface, where the refractive index sensitivity and near-field enhancement are maximal. We demonstrate that the use of a Tween20 containing stabilizing buffer is critical in maintaining colloidal stability and protein function throughout the protocol. We obtain quantitative control over the average number of enzymes per particle by either varying the number of functional groups on the particle or the enzyme concentration during incubation. This new route of preparing quantitative protein-nanoparticle bioconjugates paves the way to develop rational and quantitative strategies to functionalize nanoparticles for applications in sensing, medical diagnostics, and drug delivery. American Chemical Society 2019-09-23 2019-10-15 /pmc/articles/PMC6798157/ /pubmed/31545896 http://dx.doi.org/10.1021/acs.langmuir.9b01879 Text en Copyright © 2019 American Chemical Society This is an open access article published under a Creative Commons Non-Commercial No Derivative Works (CC-BY-NC-ND) Attribution License (http://pubs.acs.org/page/policy/authorchoice_ccbyncnd_termsofuse.html) , which permits copying and redistribution of the article, and creation of adaptations, all for non-commercial purposes. |
spellingShingle | Wang, Yuyang van Asdonk, Karsten Zijlstra, Peter A Robust and General Approach to Quantitatively Conjugate Enzymes to Plasmonic Nanoparticles |
title | A Robust and General Approach to Quantitatively Conjugate
Enzymes to Plasmonic Nanoparticles |
title_full | A Robust and General Approach to Quantitatively Conjugate
Enzymes to Plasmonic Nanoparticles |
title_fullStr | A Robust and General Approach to Quantitatively Conjugate
Enzymes to Plasmonic Nanoparticles |
title_full_unstemmed | A Robust and General Approach to Quantitatively Conjugate
Enzymes to Plasmonic Nanoparticles |
title_short | A Robust and General Approach to Quantitatively Conjugate
Enzymes to Plasmonic Nanoparticles |
title_sort | robust and general approach to quantitatively conjugate
enzymes to plasmonic nanoparticles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6798157/ https://www.ncbi.nlm.nih.gov/pubmed/31545896 http://dx.doi.org/10.1021/acs.langmuir.9b01879 |
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