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Integration of Untargeted Metabolomics and Object-Oriented Data-Processing Protocols to Characterize Acerola Powder Composition as Functional Food Ingredient

Authors :
Kewen Wang
Lu Mi
Xue Wang
Linyan Zhou
Zhenzhen Xu
Source :
Antioxidants, Vol 12, Iss 7, p 1341 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

Acerola powder has been experiencing a surge in demand as a functional food ingredient, particularly due to its usage in vitamin C supplements. However, limited research has been conducted on its other bioactive compounds. In this study, we employed metabolomics and object-oriented data-processing protocols to comprehensively characterize acerola powder. To ensure maximum coverage of metabolomics, we selected a 50% methanol aqueous solution as the extraction solvent and utilized the HSS T3 column for chromatography analysis. Through this approach, we successfully identified a total of 175 compounds in acerola powder, encompassing amino acids and peptides, polyphenols, organic acids, and various other compounds. Additionally, we measured the total phenolic content (TPC) and assessed the antioxidant activity of acerola powder. Furthermore, we analyzed the differential composition of acerola fruit and juice powder, identifying polyphenols and lipids as primary markers in fruit powder, while peptides emerged as key markers in juice powder. Notably, two specific peptides, Thr-Trp and Val-Tyr, were identified as antioxidant peptides. Overall, our study provides novel composition data for acerola powder, shedding light on its potential as a functional food ingredient. These findings contribute to the development and utilization of acerola powder in the formulation of functional food products.

Details

Language :
English
ISSN :
20763921
Volume :
12
Issue :
7
Database :
Directory of Open Access Journals
Journal :
Antioxidants
Publication Type :
Academic Journal
Accession number :
edsdoj.be041306521b4f3981f418b234fec9c0
Document Type :
article
Full Text :
https://doi.org/10.3390/antiox12071341