Literature DB >> 27611634

Non-targeted metabolite profiling highlights the potential of strawberry leaves as a resource for specific bioactive compounds.

Anna Kårlund1, Kati Hanhineva1, Marko Lehtonen2, Gordon J McDougall3, Derek Stewart3,4, Reijo O Karjalainen1,5.   

Abstract

BACKGROUND: The non-edible parts of horticultural crops, such as leaves, contain substantial amounts of valuable bioactive compounds which are currently only little exploited. For example, strawberry (Fragaria × ananassa) leaves may be a promising bioresource for diverse health-related applications. However, product standardization sets a real challenge, especially when the leaf material comes from varying cultivars. The first step towards better quality control of berry fruit leaf-based ingredients and supplements is to understand metabolites present and their stability in different plant cultivars, so this study surveyed the distribution of potentially bioactive strawberry leaf metabolites in six different strawberry cultivars. Non-targeted metabolite profiling analysis using LC/qTOF-ESI-MS with data processing via principal component analysis and k-means clustering analysis was utilized to examine differences and commonalities between the leaf metabolite profiles.
RESULTS: Quercetin and kaempferol derivatives were the dominant flavonol groups in strawberry leaves. Previously described and novel caffeic and chlorogenic acid derivatives were among the major phenolic acids. In addition, ellagitannins were one of the distinguishing compound classes in strawberry leaves. In general, strawberry leaves also contained high levels of octadecatrienoic acid derivatives, precursors of valuable odour compounds.
CONCLUSION: The specific bioactive compounds found in the leaves of different strawberry cultivars offer the potential for the selection of optimized leaf materials for added-value food and non-food applications.
© 2016 Society of Chemical Industry. © 2016 Society of Chemical Industry.

Entities:  

Keywords:  Fragaria × ananassa; cultivars; leaves; non-targeted metabolite profiling; polyphenols

Mesh:

Substances:

Year:  2016        PMID: 27611634     DOI: 10.1002/jsfa.8027

Source DB:  PubMed          Journal:  J Sci Food Agric        ISSN: 0022-5142            Impact factor:   3.638


  3 in total

1.  Molecular networking and collision cross section prediction for structural isomer and unknown compound identification in plant metabolomics: a case study applied to Zhanthoxylum heitzii extracts.

Authors:  Valentina Calabrese; Isabelle Schmitz-Afonso; Candice Prevost; Carlos Afonso; Abdelhakim Elomri
Journal:  Anal Bioanal Chem       Date:  2022-04-13       Impact factor: 4.142

2.  Comparative phytochemical analysis of five Egyptian strawberry cultivars (Fragaria × ananassa Duch.) and antidiabetic potential of Festival and Red Merlin cultivars.

Authors:  Seham S El-Hawary; Rabab Mohammed; Marwa Emad El-Din; Hossam M Hassan; Zeinab Y Ali; Mostafa E Rateb; El Moataz Bellah El Naggar; Eman M Othman; Usama Ramadan Abdelmohsen
Journal:  RSC Adv       Date:  2021-05-06       Impact factor: 4.036

Review 3.  Answering biological questions by analysis of the strawberry metabolome.

Authors:  Annika Haugeneder; Johanna Trinkl; Katja Härtl; Thomas Hoffmann; James William Allwood; Wilfried Schwab
Journal:  Metabolomics       Date:  2018-10-26       Impact factor: 4.290

  3 in total

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