Computational and experimental approaches for chitosan-based nano PECs design: Insights on a deeper comprehension of nanostructure formation
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1016/j.carbpol.2020.117444 http://hdl.handle.net/11449/208215 |
Resumo: | Nanostructured polyelectrolyte complexes (nano PECs) based on biopolymers are an important technological strategy to target drugs to the action and/or absorption site in a more effective way. In this work, computational studies were performed to predict the ionization, spatial arrangement and interaction energies of chitosan (CS), hyaluronic acid (HA), and hypromellose phthalate (HP), for the design of nano PEC carriers for methotrexate (MTX). The optimal pH range (5.0–5.5) for preparing nano PECs was selected by experimental and computational methodologies, favoring the polymers interactions. CS, HA, HP and MTX addition order was also rationalized, maximizing their interactions and MTX entrapment. Spherical nano-sized particles (256–575 nm, by dynamic light scattering measurement) with positive surface charge (+25.5 to +29.2 mV) were successfully prepared. The MTX association efficiency ranged from 20 to 32 %. XRD analyses evidenced the formation of a new material with an organized structure, in relation to raw polymers. |
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Repositório Institucional da UNESP |
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Computational and experimental approaches for chitosan-based nano PECs design: Insights on a deeper comprehension of nanostructure formationHyaluronic acidHypromellose phthalateMethotrexateNanometric polyelectrolyte complexQuantum chemical calculationsSemi-empirical parametric method levelNanostructured polyelectrolyte complexes (nano PECs) based on biopolymers are an important technological strategy to target drugs to the action and/or absorption site in a more effective way. In this work, computational studies were performed to predict the ionization, spatial arrangement and interaction energies of chitosan (CS), hyaluronic acid (HA), and hypromellose phthalate (HP), for the design of nano PEC carriers for methotrexate (MTX). The optimal pH range (5.0–5.5) for preparing nano PECs was selected by experimental and computational methodologies, favoring the polymers interactions. CS, HA, HP and MTX addition order was also rationalized, maximizing their interactions and MTX entrapment. Spherical nano-sized particles (256–575 nm, by dynamic light scattering measurement) with positive surface charge (+25.5 to +29.2 mV) were successfully prepared. The MTX association efficiency ranged from 20 to 32 %. XRD analyses evidenced the formation of a new material with an organized structure, in relation to raw polymers.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)School of Pharmaceutical Sciences São Paulo State University (UNESP), Araraquara, Road Araraquara–Jaú, Km 01Federal Institute of Mato Grosso (IFMT), Cuiabá Campus, Bela Vista, Juliano Costa Marques AvenueSchool of Pharmaceutical Sciences São Paulo State University (UNESP), Araraquara, Road Araraquara–Jaú, Km 01FAPESP: 17/16324-0FAPESP: 17/26349-0Universidade Estadual Paulista (Unesp)Federal Institute of Mato Grosso (IFMT)Boni, Fernanda Isadora [UNESP]Cury, Beatriz Stringhetti Ferreira [UNESP]Ferreira, Natália Noronha [UNESP]Teixeira, Deiver AlessandroGremião, Maria Palmira Daflon [UNESP]2021-06-25T11:08:18Z2021-06-25T11:08:18Z2021-02-15info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.carbpol.2020.117444Carbohydrate Polymers, v. 254.0144-8617http://hdl.handle.net/11449/20821510.1016/j.carbpol.2020.1174442-s2.0-85097106622Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengCarbohydrate Polymersinfo:eu-repo/semantics/openAccess2024-06-24T13:45:04Zoai:repositorio.unesp.br:11449/208215Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T14:38:19.018700Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Computational and experimental approaches for chitosan-based nano PECs design: Insights on a deeper comprehension of nanostructure formation |
title |
Computational and experimental approaches for chitosan-based nano PECs design: Insights on a deeper comprehension of nanostructure formation |
spellingShingle |
Computational and experimental approaches for chitosan-based nano PECs design: Insights on a deeper comprehension of nanostructure formation Boni, Fernanda Isadora [UNESP] Hyaluronic acid Hypromellose phthalate Methotrexate Nanometric polyelectrolyte complex Quantum chemical calculations Semi-empirical parametric method level |
title_short |
Computational and experimental approaches for chitosan-based nano PECs design: Insights on a deeper comprehension of nanostructure formation |
title_full |
Computational and experimental approaches for chitosan-based nano PECs design: Insights on a deeper comprehension of nanostructure formation |
title_fullStr |
Computational and experimental approaches for chitosan-based nano PECs design: Insights on a deeper comprehension of nanostructure formation |
title_full_unstemmed |
Computational and experimental approaches for chitosan-based nano PECs design: Insights on a deeper comprehension of nanostructure formation |
title_sort |
Computational and experimental approaches for chitosan-based nano PECs design: Insights on a deeper comprehension of nanostructure formation |
author |
Boni, Fernanda Isadora [UNESP] |
author_facet |
Boni, Fernanda Isadora [UNESP] Cury, Beatriz Stringhetti Ferreira [UNESP] Ferreira, Natália Noronha [UNESP] Teixeira, Deiver Alessandro Gremião, Maria Palmira Daflon [UNESP] |
author_role |
author |
author2 |
Cury, Beatriz Stringhetti Ferreira [UNESP] Ferreira, Natália Noronha [UNESP] Teixeira, Deiver Alessandro Gremião, Maria Palmira Daflon [UNESP] |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Federal Institute of Mato Grosso (IFMT) |
dc.contributor.author.fl_str_mv |
Boni, Fernanda Isadora [UNESP] Cury, Beatriz Stringhetti Ferreira [UNESP] Ferreira, Natália Noronha [UNESP] Teixeira, Deiver Alessandro Gremião, Maria Palmira Daflon [UNESP] |
dc.subject.por.fl_str_mv |
Hyaluronic acid Hypromellose phthalate Methotrexate Nanometric polyelectrolyte complex Quantum chemical calculations Semi-empirical parametric method level |
topic |
Hyaluronic acid Hypromellose phthalate Methotrexate Nanometric polyelectrolyte complex Quantum chemical calculations Semi-empirical parametric method level |
description |
Nanostructured polyelectrolyte complexes (nano PECs) based on biopolymers are an important technological strategy to target drugs to the action and/or absorption site in a more effective way. In this work, computational studies were performed to predict the ionization, spatial arrangement and interaction energies of chitosan (CS), hyaluronic acid (HA), and hypromellose phthalate (HP), for the design of nano PEC carriers for methotrexate (MTX). The optimal pH range (5.0–5.5) for preparing nano PECs was selected by experimental and computational methodologies, favoring the polymers interactions. CS, HA, HP and MTX addition order was also rationalized, maximizing their interactions and MTX entrapment. Spherical nano-sized particles (256–575 nm, by dynamic light scattering measurement) with positive surface charge (+25.5 to +29.2 mV) were successfully prepared. The MTX association efficiency ranged from 20 to 32 %. XRD analyses evidenced the formation of a new material with an organized structure, in relation to raw polymers. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-06-25T11:08:18Z 2021-06-25T11:08:18Z 2021-02-15 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1016/j.carbpol.2020.117444 Carbohydrate Polymers, v. 254. 0144-8617 http://hdl.handle.net/11449/208215 10.1016/j.carbpol.2020.117444 2-s2.0-85097106622 |
url |
http://dx.doi.org/10.1016/j.carbpol.2020.117444 http://hdl.handle.net/11449/208215 |
identifier_str_mv |
Carbohydrate Polymers, v. 254. 0144-8617 10.1016/j.carbpol.2020.117444 2-s2.0-85097106622 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Carbohydrate Polymers |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128392426422272 |