Phytochemical Analysis of Fagonia schweinfurthii Hadidi
Journal of Pharmaceutical Research International · pp. 803–811 · Published 16 Dec 2021
10.9734/jpri/2021/v33i59A34332Abstract
Fagonia schweinfurthii Hadidi (family zygophyllaceae) is plant of desert region .In Gujarat it is found on the coastal area of Dwarka, Bet Dwarka and Rann of Kachcha. It is locally called dhamasia or dhamaso. Plants parts including leaves, roots, rhizomes, stems, barks, flowers, fruits, grains or seeds which can be employed in the control or treatment of infectious disease which causes damage to the respiratory system, urinary tract, gastrointestinal and bilary systems and on the skin. The plant parts contain chemical components that are medically active. Tribal people living in desert region use this plant to cure number of ailments such as skin eruptions, skin diseases, anti- pyretic, in pain relief, in heal sores, ear infection, venereal diseases etc. In the new era of science and technology there is increasing need to validate the claims of traditional knowledge database for safe, easily available, cheap, side- effect free healthcare provisions. In the present study preliminary phytochemical analysis of plant parts of Fagonia schweinfurthii Hadidi was done by the standard method of Sofowora, 1982; Trease & Evans, 1989 method, which confirms the presence of alkaloids, tannin, saponin, terpinoid and steroids. High Performance Thin Layer Chromatography method was developed using mobile phase containing Chloroform: methanol: acetic acid in ratio 70:30:0.2 for detecting phyto-active constituents from the methanolic extracts of the leaf, stem and root of Fagonia schweinfurthii Hadidi. Methanolic extract of Fagonia schweinfurthii Hadidi of leaf, stem, fruit and root detected 8, 8, 7 and 4 numbers of peaks at 254 nm and at 366 nm 10, 12, 13 and 12 numbers of peaks from leaf, stem, fruit and root extract of Fagonia schweinfurthii Hadidi were detected.
Cited by 2
Mohan Lal, Sachin Salunkhe, Amit Kumar · Periodica Polytechnica Chemical Engineering · 2025
Mohan Lal, Dipankar Sutradhar · Natural Product Research · 2024
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