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Optimization of solid lipid nanoparticles prepared by a single emulsification-solvent evaporation method

This data article contains the data related to the research article “Characterization, biorecognitive activity and stability of WGA grafted lipid nanostructures for the controlled delivery of rifampicin” (Pooja et al. 2015) [1]. In the present study, SLN were prepared by a single emulsification-solv...

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Detalles Bibliográficos
Autores principales: Pooja, Deep, Tunki, Lakshmi, Kulhari, Hitesh, Reddy, Bharathi B., Sistla, Ramakrishna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4683325/
https://www.ncbi.nlm.nih.gov/pubmed/26759823
http://dx.doi.org/10.1016/j.dib.2015.11.038
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author Pooja, Deep
Tunki, Lakshmi
Kulhari, Hitesh
Reddy, Bharathi B.
Sistla, Ramakrishna
author_facet Pooja, Deep
Tunki, Lakshmi
Kulhari, Hitesh
Reddy, Bharathi B.
Sistla, Ramakrishna
author_sort Pooja, Deep
collection PubMed
description This data article contains the data related to the research article “Characterization, biorecognitive activity and stability of WGA grafted lipid nanostructures for the controlled delivery of rifampicin” (Pooja et al. 2015) [1]. In the present study, SLN were prepared by a single emulsification-solvent evaporation method and the various steps of SLN preparation are shown in a flow chart. The preparation of SLN was optimized for various formulation variables including type and quantity of lipid, surfactant, amount of co-surfactant and volume of organic phase. Similarly, effect of variables related to homogezation, sonication and stirring processes, on the size and surface potential of SLN was determined and optimized.
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spelling pubmed-46833252016-01-12 Optimization of solid lipid nanoparticles prepared by a single emulsification-solvent evaporation method Pooja, Deep Tunki, Lakshmi Kulhari, Hitesh Reddy, Bharathi B. Sistla, Ramakrishna Data Brief Data Article This data article contains the data related to the research article “Characterization, biorecognitive activity and stability of WGA grafted lipid nanostructures for the controlled delivery of rifampicin” (Pooja et al. 2015) [1]. In the present study, SLN were prepared by a single emulsification-solvent evaporation method and the various steps of SLN preparation are shown in a flow chart. The preparation of SLN was optimized for various formulation variables including type and quantity of lipid, surfactant, amount of co-surfactant and volume of organic phase. Similarly, effect of variables related to homogezation, sonication and stirring processes, on the size and surface potential of SLN was determined and optimized. Elsevier 2015-11-25 /pmc/articles/PMC4683325/ /pubmed/26759823 http://dx.doi.org/10.1016/j.dib.2015.11.038 Text en © 2015 Published by Elsevier Inc. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Pooja, Deep
Tunki, Lakshmi
Kulhari, Hitesh
Reddy, Bharathi B.
Sistla, Ramakrishna
Optimization of solid lipid nanoparticles prepared by a single emulsification-solvent evaporation method
title Optimization of solid lipid nanoparticles prepared by a single emulsification-solvent evaporation method
title_full Optimization of solid lipid nanoparticles prepared by a single emulsification-solvent evaporation method
title_fullStr Optimization of solid lipid nanoparticles prepared by a single emulsification-solvent evaporation method
title_full_unstemmed Optimization of solid lipid nanoparticles prepared by a single emulsification-solvent evaporation method
title_short Optimization of solid lipid nanoparticles prepared by a single emulsification-solvent evaporation method
title_sort optimization of solid lipid nanoparticles prepared by a single emulsification-solvent evaporation method
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4683325/
https://www.ncbi.nlm.nih.gov/pubmed/26759823
http://dx.doi.org/10.1016/j.dib.2015.11.038
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