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Synthesis and Characterization of PCL-Idebenone Nanoparticles for Potential Nose-to-Brain Delivery
The present work is focused on the preparation of an optimal model of poly-ε-caprolactone nanoparticles as potential carriers for nasal administration of idebenone. A solvent/evaporation technique was used for nanoparticle preparation. Poly-ε-caprolactone with different molecular weights (14,000 and...
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Published in: | Biomedicines 2023-05, Vol.11 (5), p.1491 |
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description | The present work is focused on the preparation of an optimal model of poly-ε-caprolactone nanoparticles as potential carriers for nasal administration of idebenone. A solvent/evaporation technique was used for nanoparticle preparation. Poly-ε-caprolactone with different molecular weights (14,000 and 80,000 g/mol) was used. Polysorbate 20 and Poloxamer 407, alone and in combination, were used as emulsifiers at different concentrations to obtain a stable formulation. The nanoparticles were characterized using dynamic light scattering, SEM, TEM, and FTIR. The resulting structures were spherical in shape and their size distribution depended on the type of emulsifier. The average particle size ranged from 188 to 628 nm. The effect of molecular weight and type of emulsifier was established. Optimal models of appropriate size for nasal administration were selected for inclusion of idebenone. Three models of idebenone-loaded nanoparticles were developed and the effect of molecular weight on the encapsulation efficiency was investigated. Increased encapsulation efficiency was found when poly-ε-caprolactone with lower molecular weight was used. The molecular weight also affected the drug release from the nanostructures. Dissolution study data were fitted into various kinetic models and the Korsmeyer-Peppas model was found to be indicative of the release mechanism of idebenone. |
doi_str_mv | 10.3390/biomedicines11051491 |
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A solvent/evaporation technique was used for nanoparticle preparation. Poly-ε-caprolactone with different molecular weights (14,000 and 80,000 g/mol) was used. Polysorbate 20 and Poloxamer 407, alone and in combination, were used as emulsifiers at different concentrations to obtain a stable formulation. The nanoparticles were characterized using dynamic light scattering, SEM, TEM, and FTIR. The resulting structures were spherical in shape and their size distribution depended on the type of emulsifier. The average particle size ranged from 188 to 628 nm. The effect of molecular weight and type of emulsifier was established. Optimal models of appropriate size for nasal administration were selected for inclusion of idebenone. Three models of idebenone-loaded nanoparticles were developed and the effect of molecular weight on the encapsulation efficiency was investigated. Increased encapsulation efficiency was found when poly-ε-caprolactone with lower molecular weight was used. The molecular weight also affected the drug release from the nanostructures. Dissolution study data were fitted into various kinetic models and the Korsmeyer-Peppas model was found to be indicative of the release mechanism of idebenone.</description><identifier>ISSN: 2227-9059</identifier><identifier>EISSN: 2227-9059</identifier><identifier>DOI: 10.3390/biomedicines11051491</identifier><identifier>PMID: 37239161</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Alzheimer's disease ; Antioxidants ; Bioavailability ; Efficiency ; Emulsifiers ; Encapsulation ; Evaporation ; Hypoxia ; idebenone ; Inflammation ; Intranasal administration ; Light scattering ; Molecular weight ; Morphology ; Nanoparticles ; nose-to-brain delivery ; Oxidative stress ; Parkinson's disease ; Particle size ; poly-ε-caprolactone ; Polycaprolactone ; Polymers ; Scanning electron microscopy ; Size distribution ; Spectrum analysis ; Surface active agents</subject><ispartof>Biomedicines, 2023-05, Vol.11 (5), p.1491</ispartof><rights>COPYRIGHT 2023 MDPI AG</rights><rights>2023 by the authors. 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A solvent/evaporation technique was used for nanoparticle preparation. Poly-ε-caprolactone with different molecular weights (14,000 and 80,000 g/mol) was used. Polysorbate 20 and Poloxamer 407, alone and in combination, were used as emulsifiers at different concentrations to obtain a stable formulation. The nanoparticles were characterized using dynamic light scattering, SEM, TEM, and FTIR. The resulting structures were spherical in shape and their size distribution depended on the type of emulsifier. The average particle size ranged from 188 to 628 nm. The effect of molecular weight and type of emulsifier was established. Optimal models of appropriate size for nasal administration were selected for inclusion of idebenone. Three models of idebenone-loaded nanoparticles were developed and the effect of molecular weight on the encapsulation efficiency was investigated. Increased encapsulation efficiency was found when poly-ε-caprolactone with lower molecular weight was used. The molecular weight also affected the drug release from the nanostructures. Dissolution study data were fitted into various kinetic models and the Korsmeyer-Peppas model was found to be indicative of the release mechanism of idebenone.</description><subject>Alzheimer's disease</subject><subject>Antioxidants</subject><subject>Bioavailability</subject><subject>Efficiency</subject><subject>Emulsifiers</subject><subject>Encapsulation</subject><subject>Evaporation</subject><subject>Hypoxia</subject><subject>idebenone</subject><subject>Inflammation</subject><subject>Intranasal administration</subject><subject>Light scattering</subject><subject>Molecular weight</subject><subject>Morphology</subject><subject>Nanoparticles</subject><subject>nose-to-brain delivery</subject><subject>Oxidative stress</subject><subject>Parkinson's disease</subject><subject>Particle size</subject><subject>poly-ε-caprolactone</subject><subject>Polycaprolactone</subject><subject>Polymers</subject><subject>Scanning electron microscopy</subject><subject>Size distribution</subject><subject>Spectrum analysis</subject><subject>Surface active agents</subject><issn>2227-9059</issn><issn>2227-9059</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptUl1vEzEQPCEQrUr_AUIn8cLLFX-cz-cnVFIokaJSCXi21r69xNHFDvalUvj1OE2oElRbsq31zHhnvUXxlpIrzhX5aFxYYees85goJYLWir4ozhljslJEqJdH57PiMqUlyUNR3tL6dXHGJeOKNvS8MD-2flxgcqkE35WTBUSwI0b3B0YXfBn68n4yq6YdGvTBY3kHPqwhjs4OmMo-xPI-jOhHB0N5FxJWY6g-R3C-vMHBPWDcvile9TAkvDzsF8Wvr19-Tr5Vs--308n1rLJCkrFiSihsm5Y2ijDbGF6zmgpBWMcIr9umoyw7hd3KiDJoQRpiao5KgQDR84tiutftAiz1OroVxK0O4PRjIMS5PuStu6ZuhbHAAfuaUKMsWEKZNKrpcjYia33aa603JhfaZoMRhhPR0xvvFnoeHjQljGYPO4UPB4UYfm8wjXrlksVhAI9hkzRrGSG0EbLO0Pf_QZdhE32uVUZRxaXizRFqDtmB833ID9udqL6WgrStlLLJqKtnUHl2uHI2f2DvcvyEUO8JNoaUIvZPJinRu17Tz_Vapr07LtAT6V9n8b97F9Cb</recordid><startdate>20230522</startdate><enddate>20230522</enddate><creator>Boyuklieva, Radka</creator><creator>Hristozova, Asya</creator><creator>Pilicheva, Bissera</creator><general>MDPI AG</general><general>MDPI</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FH</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-5348-9805</orcidid><orcidid>https://orcid.org/0000-0002-5737-536X</orcidid><orcidid>https://orcid.org/0000-0001-8594-1712</orcidid></search><sort><creationdate>20230522</creationdate><title>Synthesis and Characterization of PCL-Idebenone Nanoparticles for Potential Nose-to-Brain Delivery</title><author>Boyuklieva, Radka ; Hristozova, Asya ; Pilicheva, Bissera</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c570t-2959e86816902c6b342415502d203486d12110a1211209beca7b0b43e99a5a5f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Alzheimer's disease</topic><topic>Antioxidants</topic><topic>Bioavailability</topic><topic>Efficiency</topic><topic>Emulsifiers</topic><topic>Encapsulation</topic><topic>Evaporation</topic><topic>Hypoxia</topic><topic>idebenone</topic><topic>Inflammation</topic><topic>Intranasal administration</topic><topic>Light scattering</topic><topic>Molecular weight</topic><topic>Morphology</topic><topic>Nanoparticles</topic><topic>nose-to-brain delivery</topic><topic>Oxidative stress</topic><topic>Parkinson's disease</topic><topic>Particle size</topic><topic>poly-ε-caprolactone</topic><topic>Polycaprolactone</topic><topic>Polymers</topic><topic>Scanning electron microscopy</topic><topic>Size distribution</topic><topic>Spectrum analysis</topic><topic>Surface active agents</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Boyuklieva, Radka</creatorcontrib><creatorcontrib>Hristozova, Asya</creatorcontrib><creatorcontrib>Pilicheva, Bissera</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Biological Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Biomedicines</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Boyuklieva, Radka</au><au>Hristozova, Asya</au><au>Pilicheva, Bissera</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Synthesis and Characterization of PCL-Idebenone Nanoparticles for Potential Nose-to-Brain Delivery</atitle><jtitle>Biomedicines</jtitle><addtitle>Biomedicines</addtitle><date>2023-05-22</date><risdate>2023</risdate><volume>11</volume><issue>5</issue><spage>1491</spage><pages>1491-</pages><issn>2227-9059</issn><eissn>2227-9059</eissn><abstract>The present work is focused on the preparation of an optimal model of poly-ε-caprolactone nanoparticles as potential carriers for nasal administration of idebenone. A solvent/evaporation technique was used for nanoparticle preparation. Poly-ε-caprolactone with different molecular weights (14,000 and 80,000 g/mol) was used. Polysorbate 20 and Poloxamer 407, alone and in combination, were used as emulsifiers at different concentrations to obtain a stable formulation. The nanoparticles were characterized using dynamic light scattering, SEM, TEM, and FTIR. The resulting structures were spherical in shape and their size distribution depended on the type of emulsifier. The average particle size ranged from 188 to 628 nm. The effect of molecular weight and type of emulsifier was established. Optimal models of appropriate size for nasal administration were selected for inclusion of idebenone. Three models of idebenone-loaded nanoparticles were developed and the effect of molecular weight on the encapsulation efficiency was investigated. Increased encapsulation efficiency was found when poly-ε-caprolactone with lower molecular weight was used. 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subjects | Alzheimer's disease Antioxidants Bioavailability Efficiency Emulsifiers Encapsulation Evaporation Hypoxia idebenone Inflammation Intranasal administration Light scattering Molecular weight Morphology Nanoparticles nose-to-brain delivery Oxidative stress Parkinson's disease Particle size poly-ε-caprolactone Polycaprolactone Polymers Scanning electron microscopy Size distribution Spectrum analysis Surface active agents |
title | Synthesis and Characterization of PCL-Idebenone Nanoparticles for Potential Nose-to-Brain Delivery |
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