Metabolite Profiling of <i>Averrhoa bilimbi</i> L. Fruit and Leaf Extracts Using Ultra High Performance Liquid Chromatography-High-Resolution and Multistage Mass Spectrometry

The starfruit plant (Averrhoa bilimbi L.) is a natural and rich source of phytochemical compounds. Even though it has excellent potential, comprehensive metabolite profiling has never been carried out on this plant. This research aims to perform metabolite profiling of ethanol extracts from the fruit and leaves using ultra high performance liquid chromatography-high resolution mass spectrometry (UHPLC-HRMS). The fruit and leaves of the A. bilimbi were extracted using an ethanol solvent using the ultrasonic-assisted extraction technique. Separation of compounds in each extract was carried out using the UHPLC method with a phenyl hexyl column, while the mass of the ions was analyzed using HRMS orbitrap. Data analysis of MS/MS results was carried out using Compound Discoverer. This study tentatively characterized a total of 71 metabolites. The chromatogram profile indicates that the examined sample's retention time varied between 0.895 and 27.190 min. Among these detected metabolites, amino acids were found to be the major components of A. bilimbi extracts. This preliminary study signifies the first comprehensive profile of phytochemicals in A. bilimbi fruit and leaf extracts, including amino acids, lipids, terpenoids, and phenolic compounds with potential for diverse pharmacological activities.

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Publication Details

Journal
Indonesian Journal of Chemistry
Published
2025-12-01
DOI
https://doi.org/10.22146/ijc.100297
Primary Topic
Sesquiterpenes and Asteraceae Studies
Type
article
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article

Metabolite Profiling of Averrhoa bilimbi L. Fruit and Leaf Extracts Using Ultra High Performance Liquid Chromatography-High-Resolution and Multistage Mass Spectrometry

Lailiana Garna Nurhidayati, Ery Nourika Alfiraza, Intan Mauli Diana, Ahmad Ade Rofiqi et al.
Indonesian Journal of Chemistry
Sesquiterpenes and Asteraceae Studies
article

Metabolite Profiling of Averrhoa bilimbi L. Fruit and Leaf Extracts Using Ultra High Performance Liquid Chromatography-High-Resolution and Multistage Mass Spectrometry

Lailiana Garna Nurhidayati, Ery Nourika Alfiraza, Intan Mauli Diana, Ahmad Ade Rofiqi, Roos Kemal Krisdiantho
article en

Abstract

The starfruit plant (Averrhoa bilimbi L.) is a natural and rich source of phytochemical compounds. Even though it has excellent potential, comprehensive metabolite profiling has never been carried out on this plant. This research aims to perform metabolite profiling of ethanol extracts from the fruit and leaves using ultra high performance liquid chromatography-high resolution mass spectrometry (UHPLC-HRMS). The fruit and leaves of the A. bilimbi were extracted using an ethanol solvent using the ultrasonic-assisted extraction technique. Separation of compounds in each extract was carried out using the UHPLC method with a phenyl hexyl column, while the mass of the ions was analyzed using HRMS orbitrap. Data analysis of MS/MS results was carried out using Compound Discoverer. This study tentatively characterized a total of 71 metabolites. The chromatogram profile indicates that the examined sample's retention time varied between 0.895 and 27.190 min. Among these detected metabolites, amino acids were found to be the major components of A. bilimbi extracts. This preliminary study signifies the first comprehensive profile of phytochemicals in A. bilimbi fruit and leaf extracts, including amino acids, lipids, terpenoids, and phenolic compounds with potential for diverse pharmacological activities.

Indonesian Journal of ChemistryVol. 25(6)
University of Malawi (MW), IPB University (ID)
Openalex Percentile: Top 54%
Sesquiterpenes and Asteraceae Studies
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Metabolite Profiling of <i>Averrhoa bilimbi</i> L. Fruit and Leaf Extracts Using Ultra High Performance Liquid Chromatography-High-Resolution and Multistage Mass Spectrometry — Lailiana Garna Nurhidayati, Ery Nourika Alfiraza, et al. · Indonesian Journal of Chemistry (2025) | TGRS Research Map | TGRS