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Protocol to engineer nanofilms embedded lipid nanoparticles for controlled and targeted drug delivery (NECTAR)

We present a protocol to engineer a substrate-mediated delivery platform comprising hyaluronic acid-coated lipid nanoparticles (HALNPs) embedded into polyelectrolyte multilayer (PEM) films. This platform allows controlled spatiotemporal release of lipid nanoparticles (LNP) by embedding them within t...

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Detalles Bibliográficos
Autores principales: Porwal, Rashi, Hayward, Stephen L., Kidambi, Srivatsan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10011652/
https://www.ncbi.nlm.nih.gov/pubmed/36856769
http://dx.doi.org/10.1016/j.xpro.2022.101685
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author Porwal, Rashi
Hayward, Stephen L.
Kidambi, Srivatsan
author_facet Porwal, Rashi
Hayward, Stephen L.
Kidambi, Srivatsan
author_sort Porwal, Rashi
collection PubMed
description We present a protocol to engineer a substrate-mediated delivery platform comprising hyaluronic acid-coated lipid nanoparticles (HALNPs) embedded into polyelectrolyte multilayer (PEM) films. This platform allows controlled spatiotemporal release of lipid nanoparticles (LNP) by embedding them within the polyelectrolyte multilayer films matrix. HALNP conjugate with antibodies also adds the ability for targeted delivery. The use of LNP enables this platform to encapsulate both hydrophobic and hydrophilic drugs. This platform can easily be reproduced and utilized for various biomedical drug delivery applications. For complete details on the use and execution of this protocol, please refer to Hayward et al. (2015, 2016a, 2016b), Hayward and Kidambi (2018), and Kidambi and Hayward (2022).
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spelling pubmed-100116522023-03-15 Protocol to engineer nanofilms embedded lipid nanoparticles for controlled and targeted drug delivery (NECTAR) Porwal, Rashi Hayward, Stephen L. Kidambi, Srivatsan STAR Protoc Protocol We present a protocol to engineer a substrate-mediated delivery platform comprising hyaluronic acid-coated lipid nanoparticles (HALNPs) embedded into polyelectrolyte multilayer (PEM) films. This platform allows controlled spatiotemporal release of lipid nanoparticles (LNP) by embedding them within the polyelectrolyte multilayer films matrix. HALNP conjugate with antibodies also adds the ability for targeted delivery. The use of LNP enables this platform to encapsulate both hydrophobic and hydrophilic drugs. This platform can easily be reproduced and utilized for various biomedical drug delivery applications. For complete details on the use and execution of this protocol, please refer to Hayward et al. (2015, 2016a, 2016b), Hayward and Kidambi (2018), and Kidambi and Hayward (2022). Elsevier 2023-02-28 /pmc/articles/PMC10011652/ /pubmed/36856769 http://dx.doi.org/10.1016/j.xpro.2022.101685 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Protocol
Porwal, Rashi
Hayward, Stephen L.
Kidambi, Srivatsan
Protocol to engineer nanofilms embedded lipid nanoparticles for controlled and targeted drug delivery (NECTAR)
title Protocol to engineer nanofilms embedded lipid nanoparticles for controlled and targeted drug delivery (NECTAR)
title_full Protocol to engineer nanofilms embedded lipid nanoparticles for controlled and targeted drug delivery (NECTAR)
title_fullStr Protocol to engineer nanofilms embedded lipid nanoparticles for controlled and targeted drug delivery (NECTAR)
title_full_unstemmed Protocol to engineer nanofilms embedded lipid nanoparticles for controlled and targeted drug delivery (NECTAR)
title_short Protocol to engineer nanofilms embedded lipid nanoparticles for controlled and targeted drug delivery (NECTAR)
title_sort protocol to engineer nanofilms embedded lipid nanoparticles for controlled and targeted drug delivery (nectar)
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10011652/
https://www.ncbi.nlm.nih.gov/pubmed/36856769
http://dx.doi.org/10.1016/j.xpro.2022.101685
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