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Preparation, Statistical Optimization and Characterization of Propolis-Loaded Solid Lipid Nanoparticles Using Box-Behnken Design
Purpose: Propolis is a resinous material obtained by honeybees with many biological and pharmacological properties which can be used for treatment of various diseases. Current study aims to formulate and characterize propolis-loaded solid lipid nanoparticles (SLNs) carrier system. Methods: The prepa...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Tabriz University of Medical Sciences
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8046400/ https://www.ncbi.nlm.nih.gov/pubmed/33880352 http://dx.doi.org/10.34172/apb.2021.043 |
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author | Taherzadeh, Sahar Naeimifar, Atefeh Mehrabani Yeganeh, Ehsan Esmaili, Zahra Mahjoub, Reza Akbari Javar, Hamid |
author_facet | Taherzadeh, Sahar Naeimifar, Atefeh Mehrabani Yeganeh, Ehsan Esmaili, Zahra Mahjoub, Reza Akbari Javar, Hamid |
author_sort | Taherzadeh, Sahar |
collection | PubMed |
description | Purpose: Propolis is a resinous material obtained by honeybees with many biological and pharmacological properties which can be used for treatment of various diseases. Current study aims to formulate and characterize propolis-loaded solid lipid nanoparticles (SLNs) carrier system. Methods: The prepared SLNs, composed of glyceryl monostearate (GMS), Soy lecithin, Tween 80 and polyethylene glycol 400 (PEG 400), were fabricated employing solvent emulsification-evaporation technique. In addition, the impact of several variables including concentration ratios of GMS/Soy lecithin and PEG 400/Tween 80 along with emulsification time were evaluated on the size, polydispersity index (PDI) and zeta potential of particles. SLN formulations were optimized using Box-Behnken design. The particles were freeze dried and morphologically studied by scanning electron microscopy (SEM). The in-vitro release profile of propolis entrapped in the optimized nanoparticles was investigated. Results: The mean particle size, PDI, zeta potential, entrapment efficiency (EE) and loading efficiency (LE) of optimized propolis-loaded SLNs were found to be 122.6±22.36 nm, 0.28±0.06, -26.18±3.3 mV, 73.57±0.86% and 3.29±0.27%, respectively. SEM images exhibited nanoparticles to be non-aggregated and in spherical shape. The in-vitro release study showed prolonged release of propolis from nanoparticles. Conclusion: The results implied that the proposed way of SLN preparation could be considered as a proper method for production of propolis loaded colloidal carrier system. |
format | Online Article Text |
id | pubmed-8046400 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Tabriz University of Medical Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-80464002021-04-19 Preparation, Statistical Optimization and Characterization of Propolis-Loaded Solid Lipid Nanoparticles Using Box-Behnken Design Taherzadeh, Sahar Naeimifar, Atefeh Mehrabani Yeganeh, Ehsan Esmaili, Zahra Mahjoub, Reza Akbari Javar, Hamid Adv Pharm Bull Research Article Purpose: Propolis is a resinous material obtained by honeybees with many biological and pharmacological properties which can be used for treatment of various diseases. Current study aims to formulate and characterize propolis-loaded solid lipid nanoparticles (SLNs) carrier system. Methods: The prepared SLNs, composed of glyceryl monostearate (GMS), Soy lecithin, Tween 80 and polyethylene glycol 400 (PEG 400), were fabricated employing solvent emulsification-evaporation technique. In addition, the impact of several variables including concentration ratios of GMS/Soy lecithin and PEG 400/Tween 80 along with emulsification time were evaluated on the size, polydispersity index (PDI) and zeta potential of particles. SLN formulations were optimized using Box-Behnken design. The particles were freeze dried and morphologically studied by scanning electron microscopy (SEM). The in-vitro release profile of propolis entrapped in the optimized nanoparticles was investigated. Results: The mean particle size, PDI, zeta potential, entrapment efficiency (EE) and loading efficiency (LE) of optimized propolis-loaded SLNs were found to be 122.6±22.36 nm, 0.28±0.06, -26.18±3.3 mV, 73.57±0.86% and 3.29±0.27%, respectively. SEM images exhibited nanoparticles to be non-aggregated and in spherical shape. The in-vitro release study showed prolonged release of propolis from nanoparticles. Conclusion: The results implied that the proposed way of SLN preparation could be considered as a proper method for production of propolis loaded colloidal carrier system. Tabriz University of Medical Sciences 2021-02 2020-06-20 /pmc/articles/PMC8046400/ /pubmed/33880352 http://dx.doi.org/10.34172/apb.2021.043 Text en © 2021 The Authors. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution (CC BY), which permits unrestricted use, distribution, and reproduction in any medium, as long as the original authors and source are cited. No permission is required from the authors or the publishers. |
spellingShingle | Research Article Taherzadeh, Sahar Naeimifar, Atefeh Mehrabani Yeganeh, Ehsan Esmaili, Zahra Mahjoub, Reza Akbari Javar, Hamid Preparation, Statistical Optimization and Characterization of Propolis-Loaded Solid Lipid Nanoparticles Using Box-Behnken Design |
title | Preparation, Statistical Optimization and Characterization of Propolis-Loaded Solid Lipid Nanoparticles Using Box-Behnken Design |
title_full | Preparation, Statistical Optimization and Characterization of Propolis-Loaded Solid Lipid Nanoparticles Using Box-Behnken Design |
title_fullStr | Preparation, Statistical Optimization and Characterization of Propolis-Loaded Solid Lipid Nanoparticles Using Box-Behnken Design |
title_full_unstemmed | Preparation, Statistical Optimization and Characterization of Propolis-Loaded Solid Lipid Nanoparticles Using Box-Behnken Design |
title_short | Preparation, Statistical Optimization and Characterization of Propolis-Loaded Solid Lipid Nanoparticles Using Box-Behnken Design |
title_sort | preparation, statistical optimization and characterization of propolis-loaded solid lipid nanoparticles using box-behnken design |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8046400/ https://www.ncbi.nlm.nih.gov/pubmed/33880352 http://dx.doi.org/10.34172/apb.2021.043 |
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