HPTLC based quantification of β-sitosterol from the leaves of and prediction of potential drug targeted towards cancer therapy.

() is a plant of enormous medicinal importance and each part of the plant retained extensive medicinal properties, such as antimicrobial, antioxidant, anticancer and anti-inflammatory activities, etc. Phytosterols are secondary metabolites of plants that are well-known for their ability to reduce cholesterol, boost immunity and inhibit the formation of cancer cells. In this study, β-sitosterol, which boosts antioxidant enzymes and reduces oxidative stress, was qualitatively and quantitatively identified in the methanolic extract of the plant's leaves using the HPTLC.