JOURNAL ARTICLE
Comparative variability of nutrients, minerals, phenolics and anthocyanins with antioxidant potentials during fruit development stages in five Mulberry (Morus) cultivars.
Published In: Journal of Berry Research, 2023, v. 13, n. 4. P. 355 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Saeed, Asma; Kauser, Shabana; Hussain, Adil; Nadeem, Abad Ali 3 of 3
Abstract
This article focuses on the comparative assessment of nutritional, mineral, phenolic, anthocyanin, and antioxidant variations in five mulberry cultivars—three black (Morus serrata, M. nigra, M. macroura black) and two white (M. alba, M. macroura white)—across different fruit developmental stages in Pakistan. Results showed that sugars increased and acidity decreased during ripening in all cultivars, with white mulberries generally exhibiting higher sugar content, while black mulberries had greater total phenolic content, anthocyanins, and antioxidant activity. Macro- and micro-minerals such as calcium, magnesium, iron, copper, and zinc varied significantly among cultivars, with black mulberries typically containing higher mineral levels. High-performance liquid chromatography (HPLC) and liquid chromatography-mass spectrometry (LC-MS) identified key anthocyanins including cyanidin, malvidin, pelargonidin, and delphinidin, which may contribute to the fruits’ bioactive and therapeutic potential. The study suggests that selecting mulberry cultivars with enhanced nutritional and antioxidant profiles could offer natural benefits against various metabolic and degenerative diseases.
Additional Information
- Source:Journal of Berry Research. 2023/10, Vol. 13, Issue 4, p355
- Document Type:Article
- Subject Area:Health and Medicine
- Publication Date:2023
- ISSN:1878-5093
- DOI:10.3233/JBR-230053
- Accession Number:174544378
- Copyright Statement:Copyright of Journal of Berry Research is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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