Nanoencapsulation by ionic gelation of polyphenols from srtichoke (Cynara scolymus L.) residues using ultrasound

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Background. Artichoke (Cynara scolymus L.) residues are a rich source of phenolic compounds, but these compounds are susceptible to external factors. Therefore, nanoencapsulation by ionic and ultrasound-assisted gelation techniques can be used as an alternative to preservation. This work aimed to de...

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Detalles Bibliográficos
Autores: Huamán de la Cruz, Alex Rubén, Quispe Solano, Miguel A., Pacheco Valenzuela, José A., Espinoza Silva, Clara R., Camayo Lapa, Becquer F., Manyari Cervantes, Galia M., Corilla Flores, Denis D.
Formato: artículo
Fecha de Publicación:2023
Institución:Universidad Tecnológica del Perú
Repositorio:UTP-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.utp.edu.pe:20.500.12867/7185
Enlace del recurso:https://hdl.handle.net/20.500.12867/7185
http://dx.doi.org/10.17306/J.AFS.2023.1047
Nivel de acceso:acceso abierto
Materia:Nanoencapsulation
Organic waste
Factorial design
https://purl.org/pe-repo/ocde/ford#1.06.00
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dc.title.es_PE.fl_str_mv Nanoencapsulation by ionic gelation of polyphenols from srtichoke (Cynara scolymus L.) residues using ultrasound
title Nanoencapsulation by ionic gelation of polyphenols from srtichoke (Cynara scolymus L.) residues using ultrasound
spellingShingle Nanoencapsulation by ionic gelation of polyphenols from srtichoke (Cynara scolymus L.) residues using ultrasound
Huamán de la Cruz, Alex Rubén
Nanoencapsulation
Organic waste
Factorial design
https://purl.org/pe-repo/ocde/ford#1.06.00
title_short Nanoencapsulation by ionic gelation of polyphenols from srtichoke (Cynara scolymus L.) residues using ultrasound
title_full Nanoencapsulation by ionic gelation of polyphenols from srtichoke (Cynara scolymus L.) residues using ultrasound
title_fullStr Nanoencapsulation by ionic gelation of polyphenols from srtichoke (Cynara scolymus L.) residues using ultrasound
title_full_unstemmed Nanoencapsulation by ionic gelation of polyphenols from srtichoke (Cynara scolymus L.) residues using ultrasound
title_sort Nanoencapsulation by ionic gelation of polyphenols from srtichoke (Cynara scolymus L.) residues using ultrasound
author Huamán de la Cruz, Alex Rubén
author_facet Huamán de la Cruz, Alex Rubén
Quispe Solano, Miguel A.
Pacheco Valenzuela, José A.
Espinoza Silva, Clara R.
Camayo Lapa, Becquer F.
Manyari Cervantes, Galia M.
Corilla Flores, Denis D.
author_role author
author2 Quispe Solano, Miguel A.
Pacheco Valenzuela, José A.
Espinoza Silva, Clara R.
Camayo Lapa, Becquer F.
Manyari Cervantes, Galia M.
Corilla Flores, Denis D.
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Huamán de la Cruz, Alex Rubén
Quispe Solano, Miguel A.
Pacheco Valenzuela, José A.
Espinoza Silva, Clara R.
Camayo Lapa, Becquer F.
Manyari Cervantes, Galia M.
Corilla Flores, Denis D.
dc.subject.es_PE.fl_str_mv Nanoencapsulation
Organic waste
Factorial design
topic Nanoencapsulation
Organic waste
Factorial design
https://purl.org/pe-repo/ocde/ford#1.06.00
dc.subject.ocde.es_PE.fl_str_mv https://purl.org/pe-repo/ocde/ford#1.06.00
description Background. Artichoke (Cynara scolymus L.) residues are a rich source of phenolic compounds, but these compounds are susceptible to external factors. Therefore, nanoencapsulation by ionic and ultrasound-assisted gelation techniques can be used as an alternative to preservation. This work aimed to determine the effects of the interaction of the following variables: chitosan (Ch) concentration, sodium tripolyphosphate (TPP), Ch/TPP ratio, pH, and sonication time to ensure high encapsulation efficiency (%EE). Materials and methods. Optimal nanoencapsulation conditions were evaluated using a 25–1 fractional factorial design to maximize nanoencapsulation efficiency (%EE) using multivariate regression analysis. Results. The model was adequate with R2 = 0.998. The optimum conditions for nanoencapsulation were Ch (0.28%), TPP (0.29%), Ch/TPP (5/1), pH (4.9) and sonication time (4.79 min). Under these conditions, a %EE of 69.9 ±0.67%, a particle size between 72.3 nm and 460.7 nm, a polydispersity of 0.458, and a charged Z potential of +15.73 mV were determined. In addition, the results showed a good loading of DPPH radical cutting activity 24.21 mM TE and Trolox equivalent antioxidant capacity (TEAC) of 16.45 mM TE in the nanocapsules, which allowed the antioxidant activity of polyphenols to be maintained. Conclusions. The 25–1 fractional factorial design was successfully applied to optimize the individual and interactive effects of the variables during the gelation nanoencapsulation process of artichoke waste polyphenols. Experimental and predicted values showed closely related values. Finally, the nanocapsules obtained with the highest %EE were characterized by particle size, Z-potential and polydispersity index (PDI) and showed good DPPH radical scavenging antioxidant activity loading and Trolox equivalent antioxidant capacity (TEAC).
publishDate 2023
dc.date.accessioned.none.fl_str_mv 2023-07-11T18:45:08Z
dc.date.available.none.fl_str_mv 2023-07-11T18:45:08Z
dc.date.issued.fl_str_mv 2023
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dc.identifier.issn.none.fl_str_mv 1898-9594
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12867/7185
dc.identifier.journal.es_PE.fl_str_mv Acta Scientiarum Polonorum, Technologia Alimentaria
dc.identifier.doi.none.fl_str_mv http://dx.doi.org/10.17306/J.AFS.2023.1047
identifier_str_mv 1898-9594
Acta Scientiarum Polonorum, Technologia Alimentaria
url https://hdl.handle.net/20.500.12867/7185
http://dx.doi.org/10.17306/J.AFS.2023.1047
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dc.publisher.es_PE.fl_str_mv Uniwersytet Przyrodniczy w Poznaniu
dc.publisher.country.es_PE.fl_str_mv PL
dc.source.es_PE.fl_str_mv Repositorio Institucional - UTP
Universidad Tecnológica del Perú
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spelling Huamán de la Cruz, Alex RubénQuispe Solano, Miguel A.Pacheco Valenzuela, José A.Espinoza Silva, Clara R.Camayo Lapa, Becquer F.Manyari Cervantes, Galia M.Corilla Flores, Denis D.2023-07-11T18:45:08Z2023-07-11T18:45:08Z20231898-9594https://hdl.handle.net/20.500.12867/7185Acta Scientiarum Polonorum, Technologia Alimentariahttp://dx.doi.org/10.17306/J.AFS.2023.1047Background. Artichoke (Cynara scolymus L.) residues are a rich source of phenolic compounds, but these compounds are susceptible to external factors. Therefore, nanoencapsulation by ionic and ultrasound-assisted gelation techniques can be used as an alternative to preservation. This work aimed to determine the effects of the interaction of the following variables: chitosan (Ch) concentration, sodium tripolyphosphate (TPP), Ch/TPP ratio, pH, and sonication time to ensure high encapsulation efficiency (%EE). Materials and methods. Optimal nanoencapsulation conditions were evaluated using a 25–1 fractional factorial design to maximize nanoencapsulation efficiency (%EE) using multivariate regression analysis. Results. The model was adequate with R2 = 0.998. The optimum conditions for nanoencapsulation were Ch (0.28%), TPP (0.29%), Ch/TPP (5/1), pH (4.9) and sonication time (4.79 min). Under these conditions, a %EE of 69.9 ±0.67%, a particle size between 72.3 nm and 460.7 nm, a polydispersity of 0.458, and a charged Z potential of +15.73 mV were determined. In addition, the results showed a good loading of DPPH radical cutting activity 24.21 mM TE and Trolox equivalent antioxidant capacity (TEAC) of 16.45 mM TE in the nanocapsules, which allowed the antioxidant activity of polyphenols to be maintained. Conclusions. The 25–1 fractional factorial design was successfully applied to optimize the individual and interactive effects of the variables during the gelation nanoencapsulation process of artichoke waste polyphenols. Experimental and predicted values showed closely related values. 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