Thin Layer Chromatography Fingerprinting and Clustering of Orthosiphon stamineus Benth. from Different Origins

Kartini, Kartini and Jayani, Nikmatul Ikhrom Eka and Hadiyat, Mochammad Arbi and Avanti, Christina (2020) Thin Layer Chromatography Fingerprinting and Clustering of Orthosiphon stamineus Benth. from Different Origins. Pharmacognosy Journal, 12 (1). pp. 1683-1691. ISSN 09753575

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Abstract

Introduction: Orthosiphon stamineus has been widely used across Asian countries for the treatment of various diseases. The quality of herbal medicine determine its safety as well as efficacy; and geographical origin is important factor contributing on the quality of herb and its products. Materials and Methods: Thin Layer Chromatography (TLC) method combined with chemometric, Principal Component Analysis (PCA), has been employed to evaluate the quality of Orthosiphon stamineus leaves collected from eleven origins in Indonesia. Results: The results showed that mobile phase suitable for Orthosiphon stamineus was chloroform, dichloromethane, ethyl acetate (7:4:1). The method used has met the requirements of TLC system stability and precision. TLC-fingerprints analyzed with chemometrics showed an ability to discriminate Orthosiphon stamineus from various origins. PCA score plot of the first two principal components (PC) clearly distinguished 3 clusters of samples, whereas the loading plot of the first two PC showed that compounds with the Rf values of 0.0-0.1, 0.1-0.2, 0.2-0.3, and 0.9-1.0 are the most important compounds for clustering of samples. Conclusions: TLCfingerprint combined with the PCA was able to discriminate among the leaves of Orthosiphon stamineus originated from various locations. TLC-fingerprints analyzed with chemometrics can be used as an alternative of marker-oriented method to evaluate the quality of Orthosiphon stamineus. Key words: Geographical origin; Herbal medicine; Marker; Principal component analysis; Quality; TLC.

Item Type:	Article
Uncontrolled Keywords:	Geographical origin; Herbal medicine; Marker; Principal component analysis; Quality; TL
Subjects:	R Medicine > RS Pharmacy and materia medica
Divisions:	Faculty of Engineering > Department of Industrial Engineering Faculty of Pharmacy > Department of Pharmacy
Depositing User:	Kartini
Date Deposited:	06 Feb 2020 06:41
Last Modified:	27 Sep 2021 04:30
URI:	http://repository.ubaya.ac.id/id/eprint/37251

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