Quantification of oleanolic acid in the flower ofGentiana olivieriGriseb. by HPLC

Abstract

High Performance Liquid Chromatography (HPLC) method is a potent analytical technique for determining phytoconstituents even in minute quantities particularly that are generally present in traces concentrations in medicinal plants. The concentration of oleanolic acid (OA) in the Gentiana olivieri Griseb.(GOG) flowers is quantitatively determined by a simple, precise and accurate HPLC method. HPLC assay was performed on reversed-phase C18 column and compound was detected at 210 nm with a flow rate of 1.0 ml/min. The mobile phase consisted of methanol (A) and 0.03 mol/L phosphate buffer, pH 2.9 (B) with a ratio of 85:15 (A: B v/v).The method showed good precision and accuracy with overall intra-day and inter-day variation of 0.36-1.33% and 0.43-1.15%, respectively, and overall recoveries of 99.32%. Application of these methods to determine the OA in Gentiana olivieri Griseb showed that the concentration of OA was found more in the flower as compared to the whole aerial part (average amount in flower 1.82 mg/g DW and 0.75 mg/g DW in whole aerial plant). A simple and accurate HPLC method has been developed for quantitative determination of OA in GOG flowers.

Analytical Methods of Phytochemicals from the Genus Gentiana

“…At present, only ferulic acid and 35 have been analyzed by HPLC and UPLC [ 49 , 87 ], and 35 was discovered in the aerial parts of G. rhodantha and G. farreri . Compared to the aerial part (0.075%), a higher concentration was measured in the flower (0.182%) [ 87 ].…”

“…Results show that methanol allowed complete extraction of ten iridoid and secoiridoid constituents [ 47 ]. Oleanolic acid, which is a triterpenoid, has been extracted for analysis by methanol [ 87 ]. A 70% methanol aqueous solution was used for simultaneous extraction of compounds 1 , 4 , 8 , 9 , 17 and ferulic acid (iridoids and secoiridoids, xanthones, triterpenoids) from G. rhodantha , G. farreri , G. scabra , G. rigescens [ 49 ].…”

3D-QSAR studies on fluroquinolones derivatives as inhibitors for tuberculosis

“…A stochastic search method such as multiple regressions (MR), partial least square regression (PLSR), principal component regression (PCR) and an artificial neural network (kNN-MFA) [5-9] was developed to provide an insight to the various interactive fields of different compounds in concord with the in vitro experimental data. Different QSAR approaches have been developed through the years and the rapid increase in threedimensional (3D) structure of the biological molecules have led to the development of 3D structural descriptors and associated 3D QSAR methods [10]. The generated models could provide a valuable reference in the design of pharmaceuticals with improved anti-tubercular activity.…”