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Optimization of Polyphenol Extraction with Potential Application as Natural Food Preservatives from Brazilian Amazonian Species Dalbergia monetaria and Croton cajucara.

Authors :
Paranhos de Araújo, Vaneska Aimee
Luz, Jefferson Romáryo Duarte da
da Silva e Silva, Naikita Suellen
Pereira, Matheus Pereira
Barbosa, Jardel Pinto
dos Santos, Darlan Coutinho
López, Jorge A.
da Silva Solon, Lilian Grace
Araujo-Silva, Gabriel
Source :
Processes; Mar2023, Vol. 11 Issue 3, p669, 18p
Publication Year :
2023

Abstract

Scientific interest has currently focused on natural products as a feasible approach for new food additives to replace synthetic preservatives. Thereby, the objective of this work was to optimize the polyphenol extraction from native Amazonian plant species Dalbergia monetaria L.f. and Croton cajucara Benth., and they were determined by the total content of these compounds. Accordingly, the hydroalcoholic extract's phytocomposition was analyzed by ultra-high-performance liquid chromatography–diode array detector (UPLC-DAD) and various assays to determine the antioxidant capacity (e.g., 2,2-Diphenyl-1-picrylhydrazyl (DPPH) free radical scavenging, ferric reduction power, peroxidation inhibition). In addition, response surface methodology applying a central composite design was used to optimize the antioxidant compound extraction conditions. Extract phytochemical profiles identified polyphenols such as (-)-epigallocatechin gallate, rutin, and hyperoside in both species. Furthermore, D. monetaria and C. cajucara extracts displayed significant antioxidant capacity, exhibiting similar values compared to the standard synthetic antioxidant butylated hydroxytoluene. Nevertheless, C. cajucara showed more antioxidant efficiency compared to D. monetaria. These results were consistent with the distribution matrix obtained by a Central Composite Design since the C. cajucara extracts exhibited the best response to the adopted optimization model. Therefore, data are promising for obtaining potential options for natural additives for the food industry. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
22279717
Volume :
11
Issue :
3
Database :
Complementary Index
Journal :
Processes
Publication Type :
Academic Journal
Accession number :
162809520
Full Text :
https://doi.org/10.3390/pr11030669