Nanoencapsulation of Anthocyanins from Red Cabbage (

acylation anthocyanins antioxidant by-products coacervation encapsulation high-methoxyl pectin nanoparticles red cabbage whey protein isolate

Journal

Antioxidants (Basel, Switzerland)
ISSN: 2076-3921
Titre abrégé: Antioxidants (Basel)
Pays: Switzerland
ID NLM: 101668981

Informations de publication

Date de publication:
13 Sep 2023
Historique:
received: 24 07 2023
revised: 07 09 2023
accepted: 11 09 2023
medline: 28 9 2023
pubmed: 28 9 2023
entrez: 28 9 2023
Statut: epublish

Résumé

Encapsulation is a valuable strategy to protect and deliver anthocyanins (ACNs), phenolic compounds with outstanding antioxidant capacity but limited stability. In this study, coacervation was used to encapsulate an ACN-rich red cabbage extract (RCE). Two agri-food by-product polymers, whey protein isolate (WPI) and apple high-methoxyl pectin (HMP), were blended at pH 4.0 in a specific ratio to induce the formation of nanoparticles (NPs). The process optimisation yielded a monodispersed population (PDI < 0.200) of negatively charged (-17 mV) NPs with an average diameter of 380 nm. RCE concentration influenced size, charge, and antioxidant capacity in a dose-dependent manner. NPs were also sensitive to pH increases from 4 to 7, showing a progressive breakdown. The encapsulation efficiency was 30%, with the retention of ACNs within the polymeric matrix being influenced by their chemical structure: diacylated and/or C3-triglucoside forms were more efficiently encapsulated than monoacylated C3-diglucosides. In conclusion, we report a promising, simple, and sustainable method to produce monodispersed NPs for ACN encapsulation and delivery. Evidence of differential binding of ACNs to NPs, dependent on specific acylation/glycosylation patterns, indicates that care must be taken in the choice of the appropriate NP formulation for the encapsulation of phenolic compounds.

Identifiants

pubmed: 37760059
pii: antiox12091757
doi: 10.3390/antiox12091757
pmc: PMC10525587
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Regione del Veneto
ID : POR FSE 2014-2020 ASSE I
Organisme : Regione del Veneto
ID : FSE 1695-0023-1463-2019

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Auteurs

Ilaria Fierri (I)

Department of Biotechnology, University of Verona, Strada Le Grazie 15, 37134 Verona, Italy.

Laura De Marchi (L)

Department of Biotechnology, University of Verona, Strada Le Grazie 15, 37134 Verona, Italy.

Roberto Chignola (R)

Department of Biotechnology, University of Verona, Strada Le Grazie 15, 37134 Verona, Italy.

Giacomo Rossin (G)

Department of Biotechnology, University of Verona, Strada Le Grazie 15, 37134 Verona, Italy.

Maria Bellumori (M)

Department of NEUROFARBA, University of Florence, Via Ugo Schiff 6, Sesto F.no, 50019 Florence, Italy.

Anna Perbellini (A)

Department of Biotechnology, University of Verona, Strada Le Grazie 15, 37134 Verona, Italy.

Ines Mancini (I)

Department of Physics, University of Trento, Via Sommarive 14, Povo, 38123 Trento, Italy.

Alessandro Romeo (A)

Department of Computer Science, University of Verona, Strada Le Grazie 15, 37134 Verona, Italy.

Gloria Ischia (G)

Department of Industrial Engineering, University of Trento, Via Sommarive 9, Povo, 38123 Trento, Italy.

Asia Saorin (A)

Department of Biotechnology, University of Verona, Strada Le Grazie 15, 37134 Verona, Italy.

Federica Mainente (F)

Department of Biotechnology, University of Verona, Strada Le Grazie 15, 37134 Verona, Italy.

Gianni Zoccatelli (G)

Department of Biotechnology, University of Verona, Strada Le Grazie 15, 37134 Verona, Italy.

Classifications MeSH