TY - JOUR
T1 - UHPLC-Q-Orbitrap HRMS-based Untargeted Metabolomics of Sida rhombifolia Leaves and Stem Extracts
AU - Karomah, Alfi Hudatul
AU - Rafi, Mohamad
AU - Septaningsih, Dewi Anggraini
AU - Ilmiawati, Auliya
AU - Safitri, Utami Dyah
AU - Aminah, Nanik Siti
AU - Insanu, Muhamad
AU - Rohman, Abdul
N1 - Publisher Copyright:
© 2023, Bogor Agricultural University. All rights reserved.
PY - 2023/7
Y1 - 2023/7
N2 - Sida rhombifolia, also known as sidaguri in Indonesia, is a medicinal plant commonly used as a herbal medicine because of its metabolite and biological activities. One of the several factors that affect plant metabolite composition and concentration is the use of plant parts. In this study, the experiment aimed to identify the metabolite profile in the leaves and stem extracts of S. rhombifolia using UHPLC-Q-Orbitrap HRMS-based untargeted metabolomics. The samples were distinguished by principal component analysis (PCA). Extraction of metabolites was conducted by sonication for approximately 30 min with 70% ethanol as the extraction solvent; 28 metabolites were identified. Seven metabolites were identified only in the leaves, three were identified only in the stems, and 18 other metabolites were identified in both the leaves and stems. These metabolites were categorized as flavonoids, triterpenoids, alkaloids, coumarins, phenolic aldehydes, phenolic acids, ecdysteroids, fatty acids, and monoterpene lactones. Based on the classification results, PCA grouped the leaves and stem extracts of S. rhombifolia using the peak area variables of the identified metabolites.
AB - Sida rhombifolia, also known as sidaguri in Indonesia, is a medicinal plant commonly used as a herbal medicine because of its metabolite and biological activities. One of the several factors that affect plant metabolite composition and concentration is the use of plant parts. In this study, the experiment aimed to identify the metabolite profile in the leaves and stem extracts of S. rhombifolia using UHPLC-Q-Orbitrap HRMS-based untargeted metabolomics. The samples were distinguished by principal component analysis (PCA). Extraction of metabolites was conducted by sonication for approximately 30 min with 70% ethanol as the extraction solvent; 28 metabolites were identified. Seven metabolites were identified only in the leaves, three were identified only in the stems, and 18 other metabolites were identified in both the leaves and stems. These metabolites were categorized as flavonoids, triterpenoids, alkaloids, coumarins, phenolic aldehydes, phenolic acids, ecdysteroids, fatty acids, and monoterpene lactones. Based on the classification results, PCA grouped the leaves and stem extracts of S. rhombifolia using the peak area variables of the identified metabolites.
KW - Sida rhombifolia
KW - UHPLC-Q-Orbitrap HRMS
KW - untargeted metabolomics
UR - http://www.scopus.com/inward/record.url?scp=85160217346&partnerID=8YFLogxK
U2 - 10.4308/hjb.30.4.770-778
DO - 10.4308/hjb.30.4.770-778
M3 - Article
AN - SCOPUS:85160217346
SN - 1978-3019
VL - 30
SP - 770
EP - 778
JO - HAYATI Journal of Biosciences
JF - HAYATI Journal of Biosciences
IS - 4
ER -