Phytochemical Profiling of Gynura procumbens (Lour.) Merr. Leaves and Stem Extracts Using UHPLC-Q-Orbitrap HRMS

Dewi Anggraini Septaningsih (Department of Chemistry, Faculty of Mathematics and Natural Sciences, IPB University, Jl. Tanjung Kampus IPB Dramaga, Bogor 16680, Indonesia Advanced Research Laboratory, Institute of Research and Community Services, IPB University, Jl. Palem Kampus)
Cecep Abdurohman Putra (Department of Chemistry, Faculty of Mathematics and Natural Sciences, IPB University, Jl. Tanjung Kampus IPB Dramaga, Bogor 16680, Indonesia)
Irma Herawati Suparto (Department of Chemistry, Faculty of Mathematics and Natural Sciences, IPB University, Jl. Tanjung Kampus IPB Dramaga, Bogor 16680, Indonesia Tropical Biopharmaca Research Center-Institute of Research and Community Services, IPB University, Jl. Taman)
Suminar Setiati Achmadi (Department of Chemistry, Faculty of Mathematics and Natural Sciences, IPB University, Jl. Tanjung Kampus IPB Dramaga, Bogor 16680, Indonesia Tropical Biopharmaca Research Center-Institute of Research and Community Services, IPB University, Jl. Taman)
Rudi Heryanto (Department of Chemistry, Faculty of Mathematics and Natural Sciences, IPB University, Jl. Tanjung Kampus IPB Dramaga, Bogor 16680, Indonesia Advanced Research Laboratory, Institute of Research and Community Services, IPB University, Jl. Palem Kampus)
Mohamad Rafi (Department of Chemistry, Faculty of Mathematics and Natural Sciences, IPB University, Jl. Tanjung Kampus IPB Dramaga, Bogor 16680, Indonesia Advanced Research Laboratory, Institute of Research and Community Services, IPB University, Jl. Palem Kampus)

Indonesian Journal of Chemistry
Vol 22, No 6 (2022)

In Indonesia, Gynura procumbens (Lour.) Merr., known as Longevity Spinach or Sambung Nyawa, is commonly grown in tropical and subtropical Asian countries. Many biological activities of G. procumbens have been reported. As we know, the composition and concentration of metabolites, as well as plant parts will significantly affect the biological activities. In this work, UHPLC-Q-Orbitrap-HRMS was used for the putative identification of metabolites present in 70% ethanol extract of G. procumbens leaves and stem extract. Also, we performed clustering of G. procumbens leaves and stem extracts using principal component analysis (PCA) with the peak area of the identified metabolites as the variable. Thirty-one metabolites were identified, and the number of identified peaks in the leaves is higher than in the stem. Those identified metabolites are phenolics, fatty acids, oxo monocarboxylic acids, porphyrins, and chlorophyll fragments. The PCA results showed that the leaves and stem extracts could be grouped, indicating that the composition and concentration of detected compounds differed.